AI for Good Innovation Factory Live Pitching Session
4:09PM May 15, 2020
Morning Good afternoon. Good evening and welcome to the first live start pitching session of the AI for Good innovation factory. We hope that all of you your families, your friends and your colleagues are already
Staying healthy and safe. My name is Adrian from ITU International Telecommunication Union, and I have the privilege of facilitating today's pitching session. The ITU is the United Nations specialist agency for ICS. We are also the organizer of the AI for Good Global Summit, alongside XPrize Foundation, in partnership with 36 un sister agencies, ECM and Switzerland.
The goal of the summit is turning to five practical applications of AI to advance the Sustainable Development Goals and scale those solutions for the global impact. The aim of the AI for Good innovation factory is to bring together a diverse and inclusive community to identify and scale most innovative startups, scallops, ideas and entrepreneurs using AI to achieve the Sustainable Development Goals.
Now, like most of the world AI Summit has gone digital and we are moving forward with a weekly online programming allows us to reach even more people throughout 2020
I'm glad to let you all know that the code for startups and innovators is still and will be open on our website, AI for Good, the title that I empty till the end of June. So startups, idea innovators, whoever is using AI to achieve the Sustainable Development Goals are all welcome to apply to be in our life pitching sessions. So today's live pitching session is actually for startups. And it's the first element of the AI for Good innovation factory, since we have gone digital and many more elements will follow in the coming weeks. And these elements will not only include pitching sessions, but also webinars, workshops, and other action oriented discussions, you would have been taken I mean, all these kind of discussions and conversation would have been taking place in Geneva, where it starts with the buyers. Before introduce today, startups and mentors who would act as judges for the pitching. I mean, we have a lot of things to talk about in terms of the pigeon format and the housekeeping rules. So we'll start with this
This session, we're going to have six startups who will be pitching today, I can only see five now connected, but I'm sure we're going to get the sixth one connected along the way. And we, each startup would be pitching for four minutes. After the pitch, they're going to have a q&a from the judges and the mentors with this startup. After that, after each pitch, the judges were sinless, their evaluation using their scorecard right after each pitch. So now I would like to introduce today's mentors who will act as judges for our this for our pitching session.
So the first one is different a Berkey is a venture capitalist, entrepreneur, futurist and speaker. He's also been a great support you in the foundation of the ITU AI for Good Summit since the beginning, actually. And he's also an industry analyst, writer and consultant in the IT industry. And he's the vice chair of our ITU AI for health Focus Group. So thanks, Tim, for being with us today. Can you please offer your video and mic?
Hey, pretty cool. And quite a bit
Here, love this virtual environment. I'm from Vancouver. So that's where I am right now. So
that's great. I mean, we're speaking from Geneva now. I mean, this virtual environment connecting everyone. And it's always honored to to have you and to work with you. Maybe before we start with introducing the rest of the judges and the startups, a quick question. I mean, before we move on, you've been a venture capitalist and an advisor for startups for a long time. I mean, what do you usually look for when you talk about tech startups? What's the one thing or two things that tells you that this sort of has a potential for scalability and can actually scale? You know, really, there's two big buckets. One is you got to have proof or some kind of validation. So what I mean by that is you got to have something like problem solution validation, where people agree that there's a real problem, you got a real solution, and it works. And then you got to have product market fit. Again, a proof that customers agree are your clients agree that there's something they've been willing to pay for or put some time in and see
On unless you have that you can't proceed. So that's the one big bucket proof on product problem solution product market fit. And then I would say the next big bucket is the team, you know, how good is the team on solid is it and then this idea of grit, and that comes from Angela Duckworth, you know, this idea of talent and hard work and perseverance and, and optimism and just continually driving that will make a successful project. So prototype proof of concept and product market fit and the team. This is basically what you always look at. Absolutely. I mean, is this something like global for any startup for any kind of business? Or is it kind of vertical or technology or business specific?
No, actually, you know, the product could be a service. So really, it applies to life too, right? You're always looking at problems, maybe out solution. If you have a service and there's some kind of market or clientele for it and obviously really working hard and having a great team that you work with. These are life six, success skills as well. So
great, thank you. Thank you very much, Steven. So, the next judge and mentor gonna have for this pitching session actually is Vera for the jansky, who's actually a highly experienced innovation expert. She's a part of the extra group on digital platform and ecosystems for the World Economic Forum. She's also a board member and senior advisor to lead ventures, where she oversees all the venture capitalist, and invent investment related activities on the group. And actually, most recently, she was also director of innovation for the global venture capital firm, 500 startups. So thanks so much for being with us today. Very happy to have you make a video.
I'm here with you already. Thanks so much for having me.
Thank you very much for coming with us. And I mean, having this valuable contribution from you to judge and evaluate all the startups. So maybe very, I mean, you've been so much into building this tech innovation existence all over the world, and you have a lot of experience in that. So a very obvious question. would be how do you see the effects of the current COVID-19 pandemic? on technology innovation system? Would this have some effects on the innovation system? stablishment or changes or opportunities or challenges?
Thank you. Well, I think it's a very good question. I strongly believe that startups are the creative force that will be much needed to rebuild whatever this new normality will look like startups are agile that lean that fast. And we need that, you know, to you know, we need this innovation going forward as even more than we do now, in all different sectors, the telemedicine, the homeschooling, the you know, having seminars or webinars like we have now even more going forward to work from home is here to stay you know, Twitter allowed to work from home for forever now, so I think more tech companies will follow. It is I'm in tough times for startups because there might not be as much cash available. You know, some VCs are holding back but I do think, you know, it is also a great time to build businesses because downturns actually great. You know, to start companies, companies, you can preserve your resources. You can hire talent and the silver lining. And of course, of course, as a strategy for so many people losing jobs, but the silver lining is you can find talent easier. And talent is an important core part of building an ecosystem. And I think many governments you know, and corporates going forward will realize how important those ecosystems are important not to have the startups to support them. So yeah, I'm actually I'm positive on that. I'm really optimistic. I think we'll see more, you know, support going forward. And I really hope some, I want to, you know, there's a quote I always say, lately, as Darren said, Those who survive are not the strongest or most intelligent, but the most adaptable to change and I think startups usually have this in them, you know, they adapt to change very quickly, so very much I wish you know, all the best all the startups pitching today. And the ones watching and the itching to start building a startup now would be a good time if you think your product will be really needed now or maybe after this, you know, crisis is over.
Thanks for great points. Yeah. And we also the AI for Good Summit try to be very much adaptable with all this kind of change that being online and doing this virtual pitching. So thanks, thanks.
It's key. It's relaxing. It's the core, you know, trade we need now to deal with this uncertainty and unpredictability
to true. So we are so moving on with our actually next judge and mentor, Mr. Holder. So Neil has been an IBM master inventor, United Nation, a subject matter expert, and he's also a professor at UC UC Ivan. He's a member of several investor group like that cos angels assist the startup and also work closely with investment funding, and he's a co chair of the IQ focus group on environment efficiency for artificial intelligence and other emerging technologies. Thank you very much indeed for being with us today.
Hey, thanks. I'm really honored to be here.
Always a pleasure to have you, sir Neil, you're also actually the author of the book on the AI revolution. So I can't help but ask how do you see this AI wave? Is it? Is it the hype? Is the revolution as your book says? Or is it just another technological evolution?
That's actually a great question. I very much believe it's a revolution. There. Look, there's there's some hype. There's some organizations that people using it for marketing and promotion, that doesn't take away from the real capabilities that actually exist with the technology. Same thing where I know a lot of people think is just like an evolutionary step. But those are also people that didn't be thinking about automation. There's nothing wrong with automation, but you're just thinking about how I improve something that I already have. The real value is actually an innovation, much like we'll see from the entrepreneurs, they'll be pitching shortly here. AI is really going to be a revolutionary force because it's helping to Feel the fourth industrial revolution. If you think about how much it's probably gonna change just in the next 10 years, in our personal and professional lives, it's going to be quite profound. We've already seen some amazing changes or a lot of changes in marketing in like human resources and like trying to hire people retain people in health care and education. I think if we were to jump forward 2030 and look back, we'd be amazed how far we actually have come a short time. So yeah, it's very much a revolution.
Great. So AI innovation is not just what you said. So combined with innovation, the great thank thanks, Neil. So did Jin Qin. I mean, she's always been a great support for us. She was also our judge in another it event last year. So john Kim, thank you for being with us. Here. major focus actually is the interface in digital health innovations, like I mean, deep learning neural network, molecular diagnosis and others and public health and she also Imagine the innovation at stop TD partnerships. tuneups. Thank you very much, gentlemen, for being with us.
Thank you for inviting me. It's a pleasure to be here.
Always a pleasure to have you. So, I mean, you work for you. You're trained in epidemiology, and you mainly focus on visitor innovation and public health. So definitely have to ask if there were any recent listed innovation or initiatives or efforts that you saw recently, to tackle COVID-19 that you would like to share it with you like to say that this was a really good one or this what we need to do to tackle this through digital innovation?
Yeah, it's really good question and very relevant and think is in a lot of people's mind nowadays. And we're in the fifth months in 2020. And still coffee, still remain an existential global health crisis in the world, and for being working in public health in the past seven years, although in a different disease, but area But it's also airborne. I have seen how the classic probably house infection control methods that has sees limitation in tackling the skill of Cody, where the really the potential of digital technology can have a huge benefit to augment the traditional public health strategies. I would say from traditionally There are two main public house strategy. One is focusing on monitoring surveillance and detection of coffee. And the second is on mitigating the impact of coffee or any other infectious diseases. And I would say the impact of digital health and regardless of technology has argument Bo's measure probably house measurement. For example, I UT type of technology has enabled us to achieve real time tracking data. This is where we see country adapting their national strategy with the data that are updating every day. And another we see is really the power of AI and which is the topic of the summit. That has been a really help in both our warehouse measure. And we've seen in using deep learning technology to automate the detection of infectious disease from chest X ray from CT scan from across hospitals in the world, and even in in the ER department where health care resources really strained due to the COBie outbreaks. AI has a role to play in predicting the prognosis of Colby who are likely to We need it the ICU intensive care services. And and really the last type of technology I think has an has tremendous contribution to public health is big data. And without, without, without big data, it's not possible to model the disease activity and see the potential growth and analyze the potential type of strategy on on the population impacts. And on the on the business side as well. mitigating the impacts of, of COVID. A lot of business are in the big data analysis, sec, using big data analysis trying to model what's the best pharmaceutical supply methods to distribute to, to peripheral setting. I would I would just add at the end At the very end, I think that the healthcare industry not just COBie will see the biggest changes in the future. One of the biggest feature pitch changes in the future because that not just COBie, but other disease and health care, which remain the backwater, all digital in innovation has been really compelled to adopt digital technology. And it's really exciting area to be working.
Thank you very much dogen for this comprehensive overview, I mean, I'm sure there'll be some really interesting innovation from from the entrepreneurs in this pitching session also in the conferencing session about to tackle I mean, damage epidemics and also various other stuff in the healthcare system and sector. Thank you very much. So, we have also I mean, we cannot have a pitching session without having a judge who is a senior technology entrepreneur, like Sasha Co. So Sasha kale is a seal because entrepreneurship speakers are startup mentor. And professionally she focuses on bringing AI enabled technologies to market or to, particularly specifically to healthcare. And so she's always been passionate about female empowerment and female startups and entrepreneurs. So I mean, she has been born and raised in Russia and such a country is splitting our time between the US and Switzerland. So thanks very much for being with us today.
Hi, so happy to be here. And I'm really excited to hear about all of the innovation.
Thank you. Thank you very much. We always appreciate your valuable contribution to the AI for Good Summit innovation factory. Maybe the first question, since you're splitting your time between different cities is where are you talking from right now? Like you're calling us from where we're sitting?
I am calling from sunny Charlotte, North Carolina, United States.
Oh, nice. So it's a bit early right now, right?
It's not too bad. It's around eight o'clock. So.
Okay, cool. So maybe a quick question for you before we start as soon as an entrepreneur What would you define as the most significant challenges for against scaling a technology startup? So if you haven't already started, what do we define that this is exactly the most serious challenges that we need to overcome to actually scale?
It's a perfect question, I would say, right, for somebody like myself to answer and I also want to say that previous judges have really hit the nail in the head Stephen Liberace, I could not agree more, you know, if they technology's not needed, the one says, right if the team is wrong, and you know, other factors you've mentioned, that start out probably will not succeed. And then that also impacts of Corbett. So what I wanted to kind of focus although I have had businesses and other industries, but for the last about decade, I've been focused on the healthcare technology. So what I would like to be is maybe specific and share three things in the dark matter in the healthcare technologists face. So first, in addition to what Stephen had said, You've got to have alignment of incentives and specifically reimbursement in the healthcare space. What I have found out that you could have the best, most amazing technology and really passionate about it, you feel like it's going to deliver a wonderful impact for patients. But if let's say reimbursement is local line, and physicians and hospital boards are going to question the adoption, right, so incentives reimbursement has to be aligned. Second, technology might create barriers between physicians and patients. So in healthcare is really important to think how can you engage the parties, right, using your technology. And finally, the third thing is, I would say, um, a lot of the technology makes position, spend too much time on using it. And let's see, let me give you as an example, in the United States, physician time is limited to about 1015 minutes per patient. So if you Addition has a two comprehensive to complex technology to use way he's spending, you know, 12 minutes or 15 minutes with the patient using the technology, he's going to be really frustrated patient is going to be really frustrated. So the importance of wonderful, easy to use UX experience is just I can't stress enough. And then my previous judge, she mentioned correctly that impact of COVID. So the healthcare delivery no matter where you are in the world is not going to be business as usual. What I see is providers just struggling volumes of patients about so how can we as entrepreneurs help to create new delivery models which can be monetized and then as far as patient experience goes, right, so patients are still concerned about the safety and health and a lot of them are going to look for ways to get the care of delivery in the setting that they're most comfortable. In most likely that's going to be their home setting, they're going to look for ways to avoid coming in today hospital, whether it is for diagnostics or for the care delivery itself. So I want to challenge challenge entrepreneurs to think about those impacts and think how we can help patients and providers and how can we think about models that are scalable?
Yeah, Mm hmm.
No, I mean, I think this is great. And I see that you're coming from this healthcare kind of model and how it works in the division. Yeah, innovation in healthcare system. But I think it also works in others can be a generic kind of concerts. It's a it's a whole thing that can scale in any vertical, any kind of domain. So thanks. Thanks very much for the insights. And maybe for the judges. Just make sure that you have the scorecards, discourse cards open in your laptop while I'm using this time to kind of introduce the startup you're gonna have today. So without further ado, let's let's move on. With with the pictures and so as mentioned, we will have six startups today. We'll have a great parent from the United Kingdom. We're going to have a bar from the States we're going to have EQ for all from South Korea. We have one doc three, I hope I pronounced it right from Colombia. And we have a project child growth monitor from Germany. And last but definitely not least, we have runs tech electronics from Ghana. I think most tech tracks not connected yet. We're see if you're going to be connected along the way or not. But I think we will start with great parents. So can you please open your mic and video? Let's see if everything works.
Hello. Hi, everyone.
Hey, Michaela. Yeah, let's go through here perfectly. So as you know, Michaela, we have four minutes to pitch. You can share your screen with the presentation, and then there's going to be followed by q&a. Right. And, I mean, the q&a is supposed to be like two to three minutes. It can go a little bit longer depending on the questions. And and yeah, I mean you when you start speaking our colleague Well, it was a timekeeper is going to make sure that you're following the time. We're going to send you a private message in the chat saying there's one minute for meaning when you have one minutes to go. And I will actually have to stop you after four minutes. So the show is yours.
Hi, everyone. Again, I'm making I dropped mine founder and CEO of great pirates and connecting from London today. The world has a massive waste crisis. So today we produce more than 2 billion tons of solid waste per year. And unfortunately 60% of that is going to uncontrolled landfill and open dumps and less than 14% is actually recycled. And this is causing major ecological and environmental impact. Regulators brands, consumers are all demanding more circular products, more circular systems and Bigger transparency to be able to, to increase that. And this is why a great parents, we provide waste recognition software to monitor audit and source waste at scale. And we're also on a mission to digitize waste to be able to increase transparency and automation. And really our goal is to empower waste managers with better data analytics. When we look at the supply chain of waste their problems all along the chain from high contamination, lack of data, lack of menu, too much manual work. And this is why we're helping with AI and computer vision to help help solve some of these problems from separation transfer all the way to sorting to have a fully digitized system. Our main target customers are in the waste management industry and specifically material recovery facilities that are separating the waste and we're addressing a 6.5 billion market as a total addressable size within the firm. $530 billion waste management industry. Our first solution and product is an automated waste monitoring system composed of three elements that allow us to analyze large flows of waste. So first, a camera system that's reliable and portable AI vision systems that can recognize different material using the most advanced techniques in AI, deep learning that was mentioned before, and expert that in real time to have insights and analytics. And this is all provided as a software solution that's able to optimize analyze hundred percent of waste flows. This is an example here of a project we're doing with the largest recycler in South Korea. And this is a plastic slide. And as you can see, our system is identifying what is called impurities or impure systems, which means that those things will not enable recycling so being able to identify those will increase the chances of recycling. Here. This is another project we're running with a commercial waste manager. In the UK analyzing residue which goes into landfill, and being able to identify when valuable materials like paper are a piece of paper or going into into landfill and being able to avoid that. And the same thing can be replicated here. This is a customer who was a large airline as well, from diversion to landfill. So as you can see, there's multiple impact areas of our technology. And really the main thing is here that we're trying to avoid having valuable materials being plastics or others going into into landfill or incineration to the recycling, we're mitigating risk. And we're also giving a very powerful tool for regulators to have a better say, in waste transition. And the same thing can be transitioned to other more innovative systems like here. In terms of positioning, we are very focused on providing software that can be scaled across use cases with low capital outlay and also opening partnerships with other players in the industry. Our team combined A very strong commercial and technical skill set. We've been some, we've built some of the most advanced computer vision systems in the world for large enterprise customers. And now we want to dedicate our expertise to have social impact. We're supported by great ecosystem players in the tech and waste ecosystem. And in just one year, we established an MVP, we rolled out our first customers started our first commercial pilots, and also now raising our first seed round. So this is a very exciting time to change and shift the waste management is free. So if you're interested, please contact us. And thank you very much.
Thank you very much the voting Great, thank you very much. Great presentation. I think now it's, it's back to our judges and mentors. If they have some some questions. You can enable your video and mics as well so that it's more of an interactive discussion. And please, let's start with the q&a.
I have a question for you. I didn't get a sense of revenue. Are you pre revenue? Are you have some kind of profitability timeline within this year or next year?
Yeah, so we started the company about a year ago. So we're starting to have our first revenue coming in now from pilot projects. So early stage revenue, and our goal is to reach recurring revenues in the next 12 months.
be following up and Stevens question. It's exactly the question I had in mind as well. Thank you Michaela. Great presentation, definitely a much needed problem to solve all know how much plastic graph in the world so thank you for doing that. I was wondering, so how do you plan to monetize this? Will you be selling the machines to cooperate or what is the idea behind it?
Yeah, so the main the primary customers, our waste managers that place our camera system on top of conveyor belts. We actually charge for the access to the analytics and the data. So we do have a hardware element, but it's sold as a software as a software solution. And we also have interest from the likes of airlines who have their waste management in house as well.
So you will be providing the hardware but you position yourself as a data company.
Thank you, Michaela, I, my question is on a competitor, you present a slice on where you position, but it's more on the type of products or positioning as hardware and software. But in within the software component industry, waste medical industry, where are you your startup position compared to a competitor?
Yeah, so there's two differentiation points. One is the type of software that we use. So a lot of traditional computer vision companies use traditional techniques where they look at Basically materials at one point, specifically without using AI. And we're actually using air. So we look at the entire object. And we use neural networks to be to be able to analyze those materials. So that's the first big differentiation. And second is that we look at large flows of waste with very high and rapid output. So there are some companies for example, doing single recognition object, but this can be done very slowly. It's a one single object, but to be able to perform the same models on very high speed conveyor belts, with very mixed materials is as a is a basically very different offering. So these are the two main differentiation points.
That's excellent. Thank you.
So okay, if there's no other questions,
We have Time Force.
All right. Great. A great presentation. Just curious what your go to market strategy is because I know that waste management is handled differently in different regions like the United States, it's actually handled through the government but outsourced to accompany what's going to be your approach to enter the market and grow and scale.
Yeah, that's a great question. So first of all, we're targeting a countries where there is a minimum infrastructure of waste. So primarily Europe, certain countries in Asia, Australia and the US, but not going to emerging countries because that's where it's, there's still no infrastructure. And then in terms of the customers, we actually go to the private companies. And we specifically target the medium to large players. So there's a very long tail of independent players that we primarily target the mid and large ones because there's bigger opportunities to scale. And then local governments are usually a stakeholder in this system, but they're not necessarily the end buyer. So we're more focused On the on the private companies.
Great, great answer. Well, I think if that this all there's not the questions, I'm actually personally interested to ask, what's your next steps for scaling? I mean, now as a Steven Brock is mentioned, like you're, he asked about your profitability and revenue. So what's the next steps where you don't? Yeah,
yes. And so now that we have an early product that we're scaling to, that we're using with few companies, really our goal now is to is to scale that to implement those, those pilots and scale to the next level and actually, context of COVID we're getting so much interest from all around the world that we're trying to become a company that can ship our system abroad without having to physically be there. So actually, what's happening right now has john and Justin anyway, so that's really going to be our goal to to to take the product to the scalable to In a scalable way, that's the big next step for us. Great, thank you.
Thank you very much for being here for this great presentation. And I think I mean, you can still stay with us. And I think some people can interact with you through the chat or the q&a functionality. So if there's any questions that you can write away, answer it, and give some more information about what they're interested for. Okay,
that's great. Thanks.
Thank you very much. So I will ask the judges now to fill their scorecards. Little scorecards for this pitch, while the next startup is getting ready. And the next one is I bought from the States. So the bar Are you here?
Yes. Thank you so much. It's very excited to be joining you.
Thanks to her for joining us today. And could you please share your screen with the slides and get ready?
Got your graph. Yeah.
So if the judges are okay,
well go through away to the pitch. As you know you have the four minutes we're gonna send you a chat message in the chat when it's one minute. When there's one minute left, and just enable my video just to give your mind at the time is up points up. Thank you very much, or at least go ahead the show's yours.
Thank you so much. I'm honored to be here. Today I'm joining you from outside Annapolis, Maryland in the United States. And we are an early stage startup focusing on cultural intelligence. I vow stands for intelligent voices of wisdom. Our product is culture graph, and we spent a lot of time doing customer discovery and deep research into the need for enterprises to have a smart tool like this that provides real time cultural insights to help enterprises create more effective and efficient experiences for consumers. So we have our map calendar on top trending tools that offer human to human and bought to human insights around cultural holidays, food music, art fest. At any given moment. So if you think about the problem, hyper personalization is set to really drive consumer engagement in this next decade. Clearly with COVID, the world is ushered into an isolated world for the moment. But even before the pandemic enterprises didn't have the small data needed to meaningful and meaningfully engage with consumers. So our API platform is an easy to use and powerful library that helps better identify and analyze consumer audiences and their lifestyles, really usher in human centered personalization in the age of automation with respect to culture, and informing AI solutions and products that are relevant to global cultures. So think about knowledge, graphs, and how we can teach machines, relationships between Sustainable Development Goals and fostering a nature first global culture. Think about the way that we can reason with machines and teach them about our cultures through our structured data. So we take the healthcare industry as an example patient centered, culturally sensitive healthcare shows better compliance and improve clinical outcomes. This is a proven fact chatbots and virtual patient navigators will be culturally relevant and respond to doctors and patients in more engaging, engaging way. Gartner reports that by 2020 to 25% of online interactions will be run by virtual assistants that's up 2% from what we do now. So take Dr. Smith and oncologist in Washington DC. Her patient has come from New Delhi and she will be having surgery on Diwali. So Dr. Smith has access to cultural graph as a research tool in her hospital and she wants to see where Diwali is being celebrated, so she can use our tool for that. In addition, our chat bot could send Dr. Smith a push notification that includes a story on Diwali and other data she's requesting currently American Express and other business card credit cardholders do a great job on Twitter, they'll put a picture of Diwali and they'll say you know, Happy Diwali. Here's your 20% discount. Think about 2022 when culture graph is the engine training chatbots to respond appropriately to customers inquiries that are culturally sensitive in this case, booking a hotel for a consenting era, which requires a large ballroom, and the chatbot is aware. So our monetization is threefold enterprise partnerships, API tears, of course, and product adoption, enterprises will adopt culture graph to sustain a more competitive advantage. We do have competitors in the area of sentiment, intelligence and social profiling, but we tailor our data to be more culturally appropriate. We also offer computational data set challenges. Currently, we're building our MVP, and we also are running data competitions to source new data. Our team is award winning and experience building AI products and solutions. And we also have experience engaging with customers. Whereas at NPR news and across NASA, we're raising $500,000. And I'll be happy to take your questions. We've been featured in Forbes AI trends, and currently have a product on Google Assistant. Thank you so much.
Thanks, levar. Great presentation. I think there's a very quick question from session please session. Go ahead. Hi.
Such an interesting technology. And I have a quick question. How do you reach your consumers? So it sounds like you have to end users? Right. And you can use healthcare as a as an example. And then I have a second question. How would you respect privacy laws? Yeah, absolutely. So we do have our team members also online. So big shout out to Ivo all over the world. Thank you for joining us. We think that that is really dependent on the onboarding that we do with the clients. So it really depends on their pain point. So what cultures are they trying To reach. And so in that context, as you said, if it's a healthcare industry, they would be able to use our API's to get push notifications around, you know, creating an app that they want. Or if it's a human resources department that wants to have culturally inclusive stories to inspire more women to, for example, join the tech industry, you can use our API's to share more culturally relevant stories for Human Resources purposes.
And I know there's a longer answer, so I guess
I'm having a follow up.
So if there's a follow up, you can maybe do the longer answer if any of the judges wants to hold off on that. If it's not. Any other questions from from the judges.
I got a two part question. They're connected. So first, I think you're really hitting on an important area. There's a lot of focus on Preserving culture and heritage. But there's also a lot of different things to that. So there's been a lot of a lot of traditions, holidays, customs, how are you going to? What's your approach to tackle all that give us a vast space? And second tied to that is have you considered doing some strategic partnerships, like the United Nations actually has a whole initiative around preserving culture and heritage?
Yes, absolutely. So a couple quick things. So there are API's that allow you to understand where Nate natural, national holidays and festivals are happening, but what that data exists, what doesn't exist is what you do with that data on the back end, when you're training your AI models to understand that, you know, there's National Day in Afghanistan, and that's tied to this food and it's tied to this music, and it's tied to this culture. So imagine a new 4g graph that is able to ingest this information in real time and be able to share and preserve that segment that particular culture or around that national holiday. So the other point is that I think Currently, we have to make this a partnership this has this is a major, major task, right. But I think we have to begin, Stephen Hawking talked about why we need to pause and do beneficial AI. And we're not suggesting that you can't make money. We're in fact suggesting you will make more money because businesses are looking for personalization. That's going to work. They don't have this piece of it for automation. Right. And so I think I answered part of your question. What's the
following you? Okay.
Sorry, briefly about indigenous knowledge. So we are presenting to the United Nations on June 9, our indigenous knowledge graph we have brought together Microsoft software engineer from Cherokee heritage, Navajo Nation. conversational AI technologies And Victor Charlotte from the crow Native American tribe, who's an AI researcher, we've all come together created a demo on how we can use our stories around food and recipes and create a knowledge graph of indigenous knowledge, evolution of food and its relationships to the Sustainable Development Goals.
Great. I have a quick question if possible. One more, please. Yes, yes.
I, um, it's a bit of a two fold question, but it's connected. What is your customer focus? It sounds like you are trying to tackle number of industries. And then within the customer, what is the success look like? What KPIs maybe are you monitoring that so we actually had an amazing opportunity to meet with some top companies in the United States. Again, our culture graph is informed by our customer discovery journey. Some of them might use it because They want to integrate our calendar into their own existing calendar. Others want to create a take our API's and be able to inform their own advertisers in new ways as to you know what is happening in terms of ROI. I think we are going to be looking at user satisfaction and conversion rates on websites user satisfaction and conversion rates around for support hotlines, chat bots, are they being more effective, we have analytics that can look at what questions people are asking the chat bot that is not being answered by the chat bot, in which case, imagine how we can make our chat bots so much more relevant, because we have access to all of the things that we aren't responding to. So we're building this knowledge base based on the interactions that are coming in. And of course over time, this will be an expert system on culture and objective system based on data but it will take time I like to say data will be biased until it isn't. Guess what we have to start? There is no time. This is the best time when we have a little bit more time to think and say, how are we going to make this work?
Thank you, Devon. This is very awkward. Can I ask a question? Still? Do I have time?
Yeah, we do.
Great presentation. Thank you. I must say it's very different. I get pitched a lot of startups on a daily basis. This is very different for I usually get pitched. And usually right now, it's a lot of
ad tech, health tech,
etc. So it's very interesting. I have two questions as well. First, what was your vision and your objective to actually create, you know, build the startup? And second, how have you adapted to the situation? Have you changed any of your strategies because of COVID.
Thank you so much. So I come from a background as a storyteller. As a journalist at NPR News, I was responsible for 7 million listeners and really engaging a diverse audience beyond the radio. And so as I look at the future of automation Many of the things that are pain points currently in public broadcasting around diversity around reaching audiences in places that they're comfortable with, that they feel that they're part of engagements and stories that they're not diluted with the mainstream, and that there's a sense of belonging. That is my passion. Also a year ago, I walked into my granddaughter's home, and she said, Aziz, come on, meet Alexa, my friend. And I thought, I will dedicate my startup to helping Samantha learn about all of the ways that she's going to be interacting with AI, right, because AI is are going to be part of our lives in terms of how I've been, you know, decimated during COVID. Everything I do is self funded. And I will tell you that I gave a shout out to my team, because they are unwavering. They have worked pro bono for two years. And that's how we're putting this together because We're coming together because we believe in this and I'm, we're not giving up.
Thank you. Thank you,
then we're probably out of time. Right?
We are. But if there's a very quick question, this is before. Yeah.
I really don't. I can make a lot of a project. But I'm just thinking from a sustainability profitability standpoint, the barriers of entry be quite low. You know, with the existing corporates that are out there who are getting into the same sustainability space, how are you going to differentiate from the, you know, from the Googles and Microsoft's and others who are, you know, really launching into the sustainability space as well?
Yes, I'm very honored that Microsoft is sponsoring our data set challenge around the stories of women throughout history. They're very interested in our human centered approach to AI and data. And so I think that it will be through partnerships. I've actually applied to be a micro Soft social entrepreneur. So I'm looking for these partnerships and learning from each other. Great, thank you. Thank you.
Thank you very much. And there was great presentation and excellent answers to all the questions. So I think the next one was supposed to be for the order thing was supposed to be from South Korea. Kevin, but Kevin, I just knew right now that the Senator from Colombia has to be leaving in 10 minutes. Do you mind if we switch? Yeah. Okay. Thank you. Thank you very much. So have you are you here?
Yes. So exception, you want to let you go first, because, as you say, you have to leave in 15 minutes. So if you can please share your screen with the presentation slides. And thanks very much for Kevin from EQ for all from South Korea to allow us to do this shift. And the judges please don't forget to write all the scores and submit their scorecards for us. are from the United States in the previous pitch and waiting for the slides to appear from Bogota from Colombia? Yes. Here's it. And as you know, we have four minutes pitch, we remind you in the chat and four minutes Exactly. I have to remind you that your time is up. So the timer gonna start when you start speaking, and the shows us please go ahead.
Thank you, man. Good afternoon.
Good morning for for everyone. It's been It's a pleasure to be here. If this pitch wasn't happening today, but eight weeks ago, I would be trying to frame you in a situation where you need telemedicine, something like, remember last time you were really sick, feeling horrible. Well, that is not the case anymore. During the last eight weeks, we'll learn the importance of telemedicine, but also that is here to stay. I am here Cardona from Bogota, Colombia. And no trace we make sure every Spanish speaking person a trusted doctor on the phone all the time. users love our service, not only because we connect them with trusted doctors in seconds, but because we are AI helps them assess their symptoms on there and get a better and faster, faster response. We've been building the largest medical knowledge base in Spanish fully localized to Latin America with millions of consultations and also knowledge from our 400 doctors network in the region. But it's also generating machine learning everything with every single interactions from users and doctors or AI also optimize stopped doctors time up to a 40% per consultation, because before they before they start their consultation. The platform already showed them symptoms to triage ICD 10 classification and it will apply pre diagnosis. So this is how it looks for the doctor. Before to start a consultation, so we're helping 300,000 people every month. And during the last eight weeks 40% of respiratory symptoms we did at $70,000 in revenue last month, and we're growing on a 20% month over month rate. The problem is that in Latin America, access to healthcare is so difficult. It can take you from a day to a week to just talk to a doctor. And for most people, it is really expensive. But now with the new reality, we shouldn't even go to the doctor even if we can afford it. Within the trace, you just pick up your phone and chat with a doctor right away. And if you need additional care, the doctor will tell you, it's healthcare delivered to you. Our business model is simple. On b2c users pay a fee per station or a subscription on b2b, our customers our health insurance and employers and they pay a license for users This with a 60% margin that is enhanced by our AI which I said optimizes Dr. Stein, large companies are already trusting us, even governments with the COVID-19 situation. names like Telefonica, or mafra, have been our customers for more than a year. We are unexperienced team with the right set of skills from business to technology to a doctor that is also a systems engineer. We also have a network around 400 doctors in Latin America, plus 25. Engineers and data scientists that are building this technology. We're passionate about providing easy access to doctors, for the Spanish speaking world, not only for the 300,000 people that we're helping now and every month, but for the millions that needed we can contribute at scales with the health and well being of the people in Latin America, but access to health care is really tough, but But most importantly to equal access. Thank you. I'm happy to answer some questions.
Thanks for Trevor. I think the judges notice now it's a q&a time. So please go ahead if there's any questions.
Thank you, sir. Yeah, that was really interesting. Like I mentioned the beginning telemedicine definitely is, you know, the way to go. I have a question. I know how difficult it is my brother also runs a health tech startup in Berlin. So it's really essential to position yourself against the competition. So my question would be how do you position yourself against the competition and I know Latin America already has a couple of telemedicine startups that are doing well. So how are you different from them? And and the second is, have you thought of any particular type of, you know, partnerships that you consider that would put you you know, ahead of others?
Sure, well, in terms of company addition, we have a great Pro. That's one part. We're now working with six insurance companies in the region. Some of them have regional presence, like mafia four, for example. So the way we are differentiating for competition is first our technology. We're not only a video call with doctors kind of platform, what happens is users have a different experience to our throne technology that also is helping us optimize doctors time that is being reflected in the margins that we have. So we are able to offer lower prices so people can consult on our platform from $1. Right. So that's a different perspective. I think the position that we're trying to take is in Latin America, 5% of people have access to private insurance. We're building a product that tackles the 95% of the of the people that are not able to afford private insurance. So that's how we're differentiating from from Just video is our text based product, because also connection and the quality of the handsets is still an issue in the region. So that's why we are offering a brother or service. And yeah, well, I think the way forward is to keep on building a nice product using technology to cut costs or prices to end users, which is the real problem that we have in emerging markets where it's just access they don't have access.
Okay, so going for the masses, like cheaper and for the masses.
Cool. Any other questions? Yes,
yes, we have one here.
Um, um, so I don't have time my video and anymore, but um, yes, I have a comment and follow up comments on the question that girl just mentioned. There are I think we're seeing a lot of telemedicine companies in the world now and there will be even more company in the future, that position that good position, history in the industry for long term sustainability is really the question and my reaction to your response on just building a good product and cutting the price. My experience in the industry in telemedicine where it's it's not something that is so really is I think a lot is into think about marketing and start putting resources behind sales and marketing to to really compete and outshine your competitor. Just the comments on that.
And I have a question, quick question as well to just kind of second this assumption of difficulty. So what are your expansion plans? And what markets are you trying to answer? Or maybe you're trying to expand within the current markets? And then also what is you need to ask currently?
Well, sure. I just been coming up with a couple of questions. We have been run, we have been running for five years.
And we haven't spent a single dollar in marketing. The way we do it is five years ago, we started building a q&a calculated platform that today is bringing 1.5 million monthly users as a web traffic to all our assets to our website, or mobile applications. And then we try to convert some of those to paid users. The other thing is that we are partnering with insurers. We're 7300 consultations every month and we're cashflow for we're cashflow positive already for four months. So Our next move is basically is basically we already launched an office in Mexico we are, we're from Colombia, we launched already our office in Mexico. And three weeks ago, because of the current situation, we started providing services to the government of Ecuador, and also to the largest pharmacy in Peru. So our expansion plans are basically to sell an office in Peru inequality in Chile and in Argentina. We're seeing a lot of users from it from but also, we, for example, have been partnering with Telefonica that has present all across the region, and they are already selling our products to their corporate and government customers. And that's how we are growing on these three, our, our platform. I just want to emphasize and this is my last comment, that since we're take space that's very different from what we're seeing, but he's been created as telemedicine in the region because in emerging markets, the video on the connections, and the quality of the answers are still a big issue. And that's not probably the experience that you have in the developed world. Yeah, that would be my answer. Thanks. Thanks very much, very clear. And thanks again for joining us today. And we're definitely gonna be in touch with all the other elements, the upcoming innovation factory for you to be part of awfully. Thank you very much. So now I'm going to go to Kevin from EQ for all from South Korea. And thanks again, Kevin, for allowing us to make this quick shift last minute, and as you know, you have your four minutes pitch and please go ahead.
Hi, everyone. My name is Kevin de la. I'm co founder and CFO week four. It's my honor to share what I'm doing to overview first, first of all, You'd like to share some facts about deaf or hard of hearing people. There are 466 million now and is unfortunately increasing. Many of them are illiterate, and their mother tongue is Signed English. The company could pour his supreme tech forward with technologies like natural language processing, neural machine translation and machine vision. I am my CEO started this company in November 2017. And now we have on 19 employees including to death. We are developing various kinds of solutions for information and communication accessibility for the Deaf. Or you'd like to share one a project which we are now on second face. It's funded by Korean Ministry, ICT and solving accessibility barriers toward the voice announcement. The assertion is simpler or voice on us among at the public spaces or transportation Transfer will be streamed to cloud system and it will be converted to text and translate it to sign language English, or the sign language any nation will be pushed to the smartphone of Deaf passengers or visitors. Let me show a short video clip for that.
She's our deputy employee.
This is the largest Convention Center.
When she posts to the registered space, should we get these kinds of information push message
All along is saying that there is a report on Obama.
Now she doesn't know what's happening.
What she received is just everybody's wanting.
Right after the announcement, the message will be pushed to her so that she can understand the situation. disease.
How do you feel about this video clip? As a resort we could prove the feasibility of assigning a VA in delivered the safety value to the death. We are planning two kinds of expansions. The first we are now expanding to all safety information in this kind of pandemic situation is very critical to deliver the right message to them. Second, we will expand our domain from safety to all informations including web, TV and education. Also, we are considering going global market, leveraging partnerships. q4 is an AI based tech focused startup developing sign language translator. That's it. Thank you
very much. We're now for the q&a widget for it from the judges. Any questions?
If I could ask a question. So thank you for your presentation. Very interesting. I mean, how do you operationalize this? So you're sending like emergency messages like if it's at the shopping mall, or, you know, public transportation or something else, how does that work?
So we launched your one app, one app for the Deaf and the app. The every spaces or transportations they pay for us pay to us to subscribe to the service. Then if, if the deaf or visitors or passengers take the biker or take the go to the visit, or spaces, then should we get or here we get this kind of message.
But we are using public cloud
the pre made messages or is like your AI actually taking what's actually said and then converting That sign language and text.
Yeah, there are two kinds of things. The first one is a pre recorded one, I mean, pre recorded one is not the pre recorded, but it's a template based because there is a very variable, right? Like, or our train number five and six has a fire, something like that. Right. So and then, but there is always the announcement manual for the broadcasting facilities or, but problem is that in the rear situation, they just saw or mention whatever they want. So, we have two kinds of stuffs. The first one is a translation engine. But it's a it's not a real newer machine translation yet, because we don't have enough data for that, but we are we are having more and more data for that. So So we developed a hybrid system. So that He can get going better and better. And at the same time, we have a pre template already in so that if they match the template and
the 100% correct message shoot to them.
Great, thank you. Thank you.
If I may have a quick question,
I absolutely love the impact of this technology. So again, AI for Good, truly. And my question is, what does competition look like for you?
So in Korea, we don't have a competitor yet. But we have many competitors are actually I say, friends in, in other words, like in Europe, in Reggio, there are so many I mean, companies who are working for that and There, they are only assigned English. And then we are now trying to make your Avengers team to cooperate, deliver better and better service for all the deaf people in each countries.
I think I think we don't have any more questions I'm checking both read. No, we don't have any more questions. I just have a comment that I like your background very much because it's our AI for Good Summit as did you. So
she was for she was for our briefing platform. And he would he's our Metro mean, subway. Guy.
Thank you very much, Kevin. And, yeah, we're also going to be in touch with you regarding our next elements of money. Vision factory would love to have you there. Especially mentioned green technology and very much interested in developing goals as we always discuss. Thank you very much for this. I think we have our last, but definitely not least, startup and project which is the child growth monitors from Germany. So Marcus, are you here?
Yes, I'm here. Can you hear me? Can you see me?
Yes, clearly. So you can get your slides ready when the judges are putting the scores in the distance scorecard. And, yeah, take your time. And yeah, you know, there was four minutes just for the pitch and then we have the q&a. Okay, so I think the scorecards ready and now, you can go ahead when you read.
Hi there. I'm Marcus and I'm based in Berlin. And I present to you the child growth monitor. The chocolate monitor is an app to measure and diagnose children from malnutrition. And childbirth monitor better is the early release of our Add to COVID-19 there are 3.1 million children dying every year due to malnutrition. And it is not easy to detect malnutrition, you cannot just see it by looking at the child and then you see if the child is malnourished or not, so that means you need to measure it. But current measurement methods are very unreliable. Our partner Boston Consulting Group has calculated that only one third of the measurements are correct. And that has a lot of reasons yet the hardware is unreliable. That's not one method how to measure a child. And but the biggest problem is that you need to have a team of two trained experts to have a proper measurement and that's just not enough people out there to do the amount of measurement that's necessary. And also all of the measurements that are used nowadays they need physical contact information On a crisis, so in the current Corona health crisis or measurements have been stopped in most of the developing countries. But the bigger problem is that the health crisis will be followed by a food security crisis. And there are calculations out there that estimated 30 million children might be dying due to this food security crisis. And this is why we've been asked by one of our partners, the World Food Program, if we cannot release an early version of the childbirth monitor, and then we set together with a team and we think we can do it Jim. This is how a child growth monitor works. And it all starts with a signed consent form by the parents. Then you take the app or you take the smartphone you start the app, and you do a quick scan basically a quick movie, off the try it and out of this we calculate height and weight and the middle upper arm circumference and together with sex and age, we can do all the diagnosis that we need here. At the moment, we have an accuracy level of around 50%. And but we think we can release our app already because we put in another security layer of reliability, which will be 100%. That means for every diagnosis that we give out, we can say to 100% if the diagnosis correct or not. If the diagnosis is not correct, you might just have to take it again or measure manually. This is our development plan. And for the release of childbirth monitor better we meet an additional 450,000 euros but we're also looking for interesting partners here, especially big international organizations here you and organizations. And privacy and data protection is very important for us yet the data that we're collecting do not belong to us. They belong to the parents and in the Future at the moment. We are part of a German NGO in the future. We want to set up our project as an open source, nonprofit, social business. Here are some of our partners, German government, W, FP, UNICEF, Boston, consulting, G, etc. and so on. Thanks for listening, and I'm happy to answer your questions.
Thanks so much, Marcus. I think we have, like few minutes for the q&a. So any question from the judges?
Can you talk? Excuse me, can you explain the recording to your team?
Yeah, we have a team of 16 people at the moment, and 13 of them are tech. I think we have the team we have the good team to develop the solution. So we have specialists in AI and we're also cooperating with a couple of German universities. And we're cooperating with Microsoft. Yes. on the iPad.
Amazing. I'm really impressed with what you're doing. So thank you. Thanks.
Any more questions?
Yeah, Marcus. This is really exciting to hear that you are working on on this needed area. My question is on given the the, the target population is likely the knology will be used in resource constrained setting, including internet connections and and device hardware resources. So how do you factor that in in terms of their
product service delivery?
Yeah, so we have we're targeting the 15 least 50 least developed countries in the world. Our target Groups are the way we have a plan, but the first the primary target group in the beginning, from frontline health care workers, and so people who are working in this field already. And once we see that our solution works, we will widen our target group, for example, to pharmacies or general practitioners, and maybe if everything works at the end and also to parents.
Great. And I just have a comment on the I think you mentioned you're registering as a not for profit, which I think is a really smart move because the for the objective of the technology has a lot of high relevance to SDGs of impact. And for working in the UN system for a long time. I know there are a lot of funding available as a grant to
for profit, so it's really good. I think it's a really good move.
If that's the case, let's connect. But yes, I would like to second that. Our goal is to Maximize impact. Yes. So even if we want to establish a social business, so that means we will need to earn some money to pay the team to be sustainable. But then yeah, we want to maximize impact and basically measure give every child in developing countries, the same measurement as in developed countries.
Yeah, of course. Great. Thank you.
Might be on mute. But I suppose you're saying it's okay. If I ask a question. Am I
saying Yeah, please go ahead. Yeah.
So Martha, thanks so much. I also love it. It's great. You know, I was wondering, why is the accuracy between 40 to 60%? So why is it at 50? What is the reason why it's, you know, I don't know if it's slow or not, but sounds I mean, 50 is like every second child basically will not be measured correctly. So
what did we still working on it? Yeah. So we're still under development mode. And our original plan was to release a first version somewhere next year. Yeah. When when the accuracy is much higher now. But then again, we were approached by the World Food Program, I said, one of our donors who said, Can you not release something now? Yeah. Or as quickly as possible? Yeah. Because like I said, in developing countries, no child is measured at all. In India, one third of all my mother's children live in India. And in India, there's a shutdown. Yeah. And that means if a child is not measured, they will not be treated. Yeah. But with our app, you can measure from us from a safe distance from 1.5 meters. So this is why we we were planning to release a version with less with accuracy that we don't like Yeah, but we think it will still work.
Okay, you know, it's better to release as soon as possible. You know, there's awkward with say if you're released when you're fully satisfied with it, then it's too late. You know, you're leaving. While you're actually not fully satisfied with that, especially in a time like now. What will be the first country you're releasing to India? And
we're active in India and India.
Great, great. Yeah. Any other questions? is reaching the end of the first AI for Good integration factory, etc. So thanks, Marcus, very much. Great condition, great answers the questions and of course, we'll be in touch for the upcoming elements of the innovation factory. And I really want to thank very much all the startups and the judges. And the these was a great unpicking session, but also remind everyone that our code for startups and innovators still and we'll be open at our website till the end of June. So please, if you're a startup, if you have an idea for using PII for SG, please feel free to apply. And it's on our website, which is AI for Good at the time t. And I think as well, my colleagues, they're gonna share the link on the chat right now of the sorts of applications that you can find very easily. And again, I mean, was one more announcement is that next next innovation factory element would be next week on Wednesday. So next Wednesday, the 20th of May at 2pm. Geneva time is going to be a webinar on the title COVID-19 combining crowdsourcing and AI to tackle pandemic. So stay tuned. And we're going to send you also all the news about the next purchase sessions. And if you want to be live on these transition, you know what to do, just apply on our website. Thank you very, very much and have a great weekend.