The 8th SVIEF Star Startup Competition Finale Part II | SVIEF
12:21AM Oct 1, 2018
So we will begin with Jonathan Qui Managing Director of Fosun RZ capital please come on to the stage sir.
Rashmi Gopinath partner of Microsoft, partner at Microsoft ventures.
Ella Li Senior Director of investment at Zhongguancun Capital Corporation
Ankur Saxena investment manager at Cisco investments
Sanjit Singh Dang investment director Intel capital
bill Keating Executive Chairman real solar Inc
ray tong investment director BOE venture
Roberto Medrano CEO Beach View
Marc Wang partner w h WI Harper group
Jay Eum co Founder and Managing Director TransLink capital,
Robert neivert venture partner at 500 startups.
Alrighty, so this will now begin our second round of programs. And now we're going to judges before we began. Of course, please read the instruction paper in front of you. And then you will use the iPad to begin the scoring once each project has finished their pitch. And so now we're going to welcome our ninth presenter for today are Andy core and they will have their introduction video for you now.
Good afternoon, ladies and gentlemen. My name is Ben Su, and I'm the co founder of or any court Inc. We are a biotechnology company based out in Toronto, Canada. And our mission with our any court is to commercialize the next generation ultra sensitive point of care diagnostics technology. While our technology is widely applicable to many diseases, as well as non medical uses. For the purpose of today's presentation, I will talk to you about with a nasty infection called C. difficile infection, which results in half a million infections, you know, United States alone, needing to 15,000 deaths,
what is unmet need here, the unmet need is that current diagnostic solutions, they do not have the sensitivity to detect that infectious toxins that are causing this active infections. Instead, they take the easy way out by diagnosing whether if there's bacteria present in the patient, however, having bacteria does not necessarily mean you are having that activity infection. In fact, I would say that 10% of us sitting in this room today are would test positive with these tests. But we don't necessarily have C diff infection. So we don't need to put you on vancomycin.
And we have done a comprehensive survey of the existing clinical solutions for the diagnosis of C. difficile infection. And because of these inadequate performance of each and every one of these tests, a patient in 2018 will have to go through up to four different tests in order to confirm that he or she is indeed having an active infection. And
this unmet need is recognized by the government by the FDA. And we're proud to work on this problem with our Piper proprietary technology. And the palm is only going to get worse, we're using more antibiotics, we're getting older. And that's why we're making more sensitive tests that can detect these infections, toxins, and tell the doctors if the patients having an active infection as opposed to being a healthy carrier.
And this is how we do it, we combine the best of the two worlds PCR DNA test with the traditional amino acids, we conjugate the double stranded DNA with our detection antibody. And we're able to amplify these signals, which is something that a traditional amino acids cannot do
right now, this is 2018 diagnostic procedure, as you can see, is very complicated. And this is why we're hoping to reach with our technology, a simple one step test that reduces the costs that reduce the time
the market that we're dealing with just C. diff infection is significant. But I would like to remind you from the beginning that we are a platform technology. And we also have an active pipeline in the cardiovascular disease sector.
I'm joined here by my co founder Yannis, which is the tallest guy in the room probably. And
we have a very complementary backgrounds in deep knowledge in clinical biochemistry, and business. And we're very confident to bring our technology into commercialization. And
we're very proud to have the trust from some of the most entrepreneurial scientists, University of Toronto has to offer as well, we have will work closely with our clinical advisors who remind us every day while we need to do in order to meet those unmet needs in clinical diagnostics. And thank you.
Thank you for the presentation. Is this test going to be available using standard equipment and hospitals and labs and those or how do you go to market?
Yeah, that's a great question. So we're actually making this a point of care diagnostics solution, meaning that you can do the test beside the patient's bed. So
the technology is actually we actually I'm glad you brought this up is that another application that we're exploring of doing is that right now in Canada, we're in the process of legalizing marijuana use and for roadside testing, our technology could be applicable to diagnose or to detect the presence of THC in saliva.
How specific is your detection? I say
what what a specificity. How specific
well, so that's a great question. So specificity and sensitivity. Those are the two common indicators of how well the diagnostic as a is, but it depends on other things. So specificity is actually dependent on the biomarker that you're looking at. And with C. difficile infection, the toxin is actually we have very good anybody that has a very high specificity, but the problem is that we don't have enough sensitivity and that's where we come in, we attach the double DNA strands onto our detection antibody and we're able to just like a PCR tests were able to amplify the
detection signal using PCR. So we actually can increase sensitivity by several orders of magnitude. So
how much revenue Are you producing the next few years? And how much cash Do you want to raise in the short term so we
we have we just we have just completed our proof of concept experiments. And in terms of revenue, we're hoping to make $24 million per year just in the US by the year 2023
and we're seeking of funding of 2.5 million US dollars and at the same time, we have an active pipeline that we're working without clinical advisors at the University of Toronto University Health Network and terawatts Research Center for heart diseases and we're developing a heart failure test that can be that can diagnose heart failure within 20 minutes at the bedside in the hospital and
sorry for the heart failure test. It's not see
no, she definitely infectious disease. Right. Well, so working with cardiovascular disease sector but what's the marker that you test in cardiovascular diseases is a lot bigger than see death for cardiovascular were looking at currently 33.9 billion US dollars of global sales.
Alright, one more question perhaps.
Alrighty. Then this will conclude around the chords presentation. Thank you very much for the q amp a session again, everyone wonderful. Let's all give a round of applause. And now we will welcome LUMColor to present their project and their introduction video please.
Good evening, everyone.
I'm glad to be here to present you whilst
developing I'm sorry, by LUMColor.
Many of you may be experienced when you were young, for by up here or a stigmatism then you start wearing eyeglasses many pair of our glass eyeglasses may be required as the visual arrow progressing
whether you like or not. This will continue until one day you decide to do lasix but in fact this is still not done yet
pressured by up here started shop but when the agent up too late for deal or early
what a headache
but here comes the good news our product can help you on that
I don't have time to to talk about too much details. But there are fundamental says this is
to modulate the location of Martha liquid crystal molecules in a very thing liquid crystal layer which is a sandwich the by two optical substrates as special design IP protected it or pattern is coated the inner layer of one of the substrates why other layer color coded by Grant
of our product is
smart prescription eyewear,
user can simply choose they are focusing by simply sliding a shifter switch.
And now you don't have to have multiple glasses you can have only one adjust the focusing electronically.
The second version is very interesting especially for young fellows.
When you drive on West the band about half hour before the sunset the sun glare will really body in other case when you drive at the night the high beam of income vehicles going to really bother you and also affect your driver safety
or device what automatically detected direction and intensity of the unwanted lights in this case high beam of our income vehicles and this signal will automatically feed the to our device to automatically turn on associated the pixels which can attenuate income light within a fraction of a second
I'm gonna I'm gonna jump jump jump off sites. Now let's look at how big the market decides is over 1 billion pair of all type of eyeglasses have been sold last year worldwide it to generate as big as $35 billion
another $15 billion will be added on top of this already huge value in the next five years in a growth compound rate gross annual compound rate of 5%
since huge mark that will give us a
potential to our product.
More importantly, our product will not compete in this market by a traditional way our product will find its new very unique niche point well can gain market share very rapidly was it's very revolution of features that other products just simply don't have
was that i can i gonna end the my presentation here? I should they have very at the time left for a few questions. Thank you.
Can you tell me how close you are to shipping? What's the timeline look like?
You're talking about responsibility? Oh, sorry. Could I buy them tomorrow? Or when on? I wish so. But wearing wearing the stage of developing prototype
and how long were in that development cycle are you
I'm talking about like nine months. But you
nine when you'd like development prototype and next half year. But if we get the funding to allow us to start from low volume production, we're going to have full ready production prototype product in nine months. But we have two stages, car plan wines produced smart I wear a smart eyeglass. Then second version is a smart person prescription eyeglasses then the second stage work, it will try to combine all this to you know, what,
what, what are the Oracle market strategies to work with distribution channels, or I don't know, ritual stores? Or
how do you distribute your product?
It's a very nice product
with how do you how do you distribute your product? How to say, Oh,
I see. Oh, you know, even though it seemed it seemed a very early stage of our product, but I will believe b2b will be very suitable for our our product. I really think there's a one of our product wonderful product will be you know, a lot of people, including myself, I read one to get one tomorrow.
I'm sorry, I don't I don't think you see any competent on the market. So smarter, smarter sunglass, I don't see anything for liquid crystal based the like focusing variation devices What I can tell you that the way you're the first one publish the related the results using the cookies thought to do variable formula in applied optics quite the years ago. So, we have very confident about the technology
and the and the, you know, the manufacturing details. Thank you.
can you please tell us a little bit about sort of the components involved in building this and what are the
other one Okay, I tried to
some high Okay, here
this this is the basic physics you see that little arm rice type of yellow stuff inside this liquid crystal molecule and was the voltage of electrical field applied, this molecule can locate along the road and it was adulteration, face retardation of polarizing polarization status can be changed. So we have our specially designed it or pattern to which is coated in a while for the inner surface of substrate that can generate a generate a an optical
which is the end special optical words sat the world give us optical power you wanted.
All right, thank you very much. I will conclude our q amp a session warm round of applause to LUMColor. So now we will now welcome Gausscode and their introduction video will be presented to you now.
Good afternoon. My name is Jessica. I'm the co founder of Gausscode technology.
I'm pleased to share with you why over 100 businesses a logging to golf code portal every day. So here's a little background about a company we were founded in 2016 was 10 million annual fund USD dollar raised in Silicon Valley. And we founded with the mission of empower businesses to make critical business business decisions with consumer based technology and especially AI in the big data. So right now we focus on several vertical segments including automotive travel, education, and finance. And we have reached the nice milestones including establishing a presence in China including chong ching, Tencent incubator and the several areas in China.
We have a group of cloud world class leaders from the optimization and data analytics field, including myself from Facebook, Dr. Chang was the chief analytics officer from x n, from axiom Corporation, the largest consumer data company in the US and Dr. Yen and Dr. Chen were from Stanford University and the Ford in the past and have been well versed in domain technology, especially in the optimization field. And prior to Facebook, I was lucky to have been the early employees have to a startup company in Silicon Valley, and the one one Tom public on NASDAQ, and the other was successfully acquired by dow and I was heading up the advertising targeting and audience measurement platform based on newsfeed ranking and optimization.
And we were also lucky to have a group of technology advisors and business leaders, including chair from Alibaba, who was the group SVP and Dr. Buy from UC Davis, who was the one of the earliest or author of the late pack package and
cell phone and Joe from the internet, one of the largest internet IPO company last year. And also cell phone was a 10 year scalable product architect at Google.
Our strategy is to prove our technology in two vertical segments, including automotive and travel to start with, and we won the awards of top one in the automotive segment in 2017, and 2018. And number served in 2000 travel out of 1000 companies selected in China. So right now, our competitive advantages, Red Cross patents, products and data power, especially were monitoring in the following over 90% of the car buyers in China. So
let me give you a concrete example about the problem we're solving. If you go to buy a car from the retail store yearly, you were facing the classic a problem this the sales person who talk to you lack the the know how, and you ended up with the happy experience from the time you search online, and the time you leave, you leave the store. So comparing that to the US and China has a big gap us online to offline lead conversion ranks of seven to 8% of a lead conversion ratio was China, only Stan said about 0.1% and 3%. To solve that problem we created a callow system which is SAS based available on both PC and mobile clients be able to do that in three steps facilitate to the store available to every salesperson, once you enter the store, they know what you talk, what to talk about you what you're interested. And at the end of each interaction, our intelligent system will feed that information back and use our technology to optimize for your next visit. So the beauty of this model is the OEM the car manufacturer pay for this while the store manager benefits and the consumer is happy. So what we're doing so far is pretty exciting. We acquired a 100, over 100 successful stores in the lab in the past eight months was nice and Toyota and some domestic brands and addressable market was a 30,000 stores we are aspiring to capture only about 40% of it. So that casts for about 1.1 point 2 million profits for each store. And we only charge for 8% of it. That's 10,000, 100,000, RMB each year. And that we are price and faster than the one next to competitor and only cost of one half of it. And we have made multiple channels to spread this product. So next five years, we plan to grow about 60 fold across different segments. And this is only the tip of the expert. We have acquired high and then and VIP and the many company as our customers and our funding nice right now is to grow is raised 8 million to go to next stage.
And the comparable companies has raised quite successfully during the past a half a year and why are you messing us in in a nutshell
100,000,100 times revenue growth in next five years and 50 less expensive valuation right now then our comparable companies and we have massive growth prospects over the next few years, over five different segments about 300 billion. So the
offline to online lead conversion spaces super noisy and the startup space How do you differentiate against the 50 other startups in the space?
Yeah, so the first question is, how do we differentiate we differentiate by three dimensions. First, we differentiate by our deep technology know how about the domain. That's why we picked the high value item segments in particular, like automotive education, cross border traveling. So those are all the sacraments my founding team I myself have known intimately over the past 10 years, actually my founding partner myself a new each other when we were doing we were on a founding team of Facebook and axioms, third party partnership several years ago, and we know the intricacies of how to do it successfully. Can you demonstrate that? So knowledge is great, but can you show us as their data use case a case study or result case that we could see? Sure I'm in my previous slide, actually, I have three actually have a three examples. Sorry, I went through pretty fastly.
So these are the three successful paying customers we have a quiet today Nissan, Toyota, and DFS K. So each of the pilots we run across 10 weeks to about 12 weeks, they obtained over 30% of online to offline conversion lift. Yeah, from 30 to about 30% of the sales lift from the online to offline. You know, conversely, if the overall and
I'm some of the company actually, they embedded our technology into their existing CRM systems. So that's a faster distribution channel and also expand. Yeah, pretty obtained a pretty good result 42% online to offline a conversion lift and right now is expanding contract with us with 600 to 600 stores with the SF Bay and the Volkswagen expanding to 447 stores.
Thank you for that example. So what is your business model? How do you charge do you charge based upon results? Or is it a subscription? Or is it a consulting engagement
we charge on which hard selling subscription right now I charge on this is the exact business model how to spell out I charge only 8%, which accounts for about 100,000, RMB, which is about 1200 US dollar per month. And once they start to use my system, the beauty is a they do not need to pay for themselves, the OEM pay for them. Second is all their leads are in my system, just think about the efforts need to migrate to another system and make it super sticky. Unless I make something wrong, they will keep paying for it. And there's only accounts for the 120 million additional rep, additional profit I bring to the store on the annual basis. So right now, I price it very, very reasonable to penetrate the market, I can easily raise the price because I don't have direct competitor at the moment. However, we choose a strategy to make it a free kind of a freemium model, two tier model to make the entry really, really low. Then after capture the majority of the market, I can easily cross sell and upsell.
All right, that will conclude the q and a session. Thank you very much to Miss Zhang of Gausscode for that presentation. And now we will introduce quick flash technologies and their introduction video.
Okay, hi, everyone. We are the quick fair technologies. And I'm Dayou the co founder of quick flash. Today we want to share you with a new idea about how to view the world differently. So the class because it's an element that can be missing from our daily life, we want to get us to insulate as much as the heat from the sun as possible to save energy from air conditioning and lighting. We also wanted us to improve comfortability without sacrificing a beautiful view outside the current solutions to block the sunshine is to use a curtain or film or combination a curtain will block the sunlight, but it will also block the view the curtain didn't do much room temperature. And in the actual energy for lighting a film sacrifice, a certain amount of transparency in return have a limited amount of thermal insulation. However, when the sunlight is strong, you would need sunlight is strong, it was still feel uncomfortable, because you are exposed to sunlight and it will sound it is a week you're still need extra energy for lighting. So we have developing something better. A smart glass, that change is transparency in response to the sunlight actively. And in just seconds, this class can save 20% more energy, and it could increase the work efficiency. This class is made with the electrochromic. You see technology and it is total controllable. This class can also increase a commercial venue for the customers. Most importantly, let's see how it can save energy. In 2016, Tencent brought more than 1700 square meters of asynchronous in Beijing. And two years later, they found that it seemed more than $2.6 million and energy and total price for the class is only $3 million. So these practical the change the current solutions into the EC glass solution.
This class can be applied to various applications, including Apple's highest be nervous stations, your home or any buildings.
Our team are mostly from UC Berkeley York, I was saying yo had a master's degree in UC Berkeley and she's also a successful entrepreneur as she's she's so the last company last a year in Rochester, New York State's channeling a wax bears member in the IT team. He wants the system Professor back in Taiwan in material science, and now a visiting scholar and UC Berkeley and the leader of our r&d team. I have a background in both engineering and consulting. And I also have my master degree in UC Berkeley very high. Now the experiments member in r amp D as she had a master degree in UC Berkeley in neuroscience as well. And she had the, the current developing of our recording patents.
Moreover, we have Professor john Cho, a professor of press teachers, Professor in material science industry, he has shared a lot of resources first, such as a lab resources and Ph. D. Associate, and he is also a shareholder of our company. We have Kevin experience member in supply chain and project management, we have Dr. Yang Yang and a PhD in material science as well. And we also have other masters students, part time students working on this project as we work with University of California, Berkeley, and also the Lawrence natural law. So
our team have developed a unique technology that is very different from competitors. There are actually three competitors in this word can manufacturing a large
scales of the
EC glass. However, all of them use the same technology called a sparkling cooking method. This method requires vacuum condition, which is hours in expense, extremely expensive, cost an hour technology done and requires vacuum condition, and the cost is less than a quarter of the competitors without sacrificing the effect of color changing.
So we are in our seed round, we aim to see we aim to raise about 500 k, i will say wrong or equipment. I'm be un in China as well. And in preparing us for workable prototype. And later on, we want to start the mass production later in China. And we are targeting in the Chinese market first, and he has quick flash, he has my contact information for free to contact us and our company. Thank you very much.
Hi, thank you for a presentation on quick
question, what's the current size of the class you can make? And the second question is, what's the cost to manufacture it the material or not the
equipment costs you were talking about?
Thank you. Okay, so the first question is about how much size we are now developing. Now we're developing a prototype of 10 centimeter by 10 centimeter. And we now try to enlarge it by one meter by meter in the in six months, and the cost of our product. So the cost of our competitors, the price over competitors around when $7 per square meter and our costs estimated raw material card is less than $200 per square meter.
Thank you. So
many of the new materials companies that are coming out a very exciting and this seems that you can very easily control the opacity of the glass with a special coating and have a sensor to make it automatic. But even if this is a great improvement, the
glass companies don't like to add other processes. The builders don't like to do anything new or different. And the construction companies don't like to add cost because they're not the ones paying the electric bill Do you have an aunt one on your team who kind of understands the full lifecycle of the construction industry who can work through those problems. So
since we are now developing a prototype, we end to partner with the US company in China such as such as sharing all those larger or the second tell glass manufacturers and he can share the resources for us when we do the mass production and when we do the proof, high wisdom
Yeah, and I think that's a good strategy. So if you partner on a global basis with Pilkington or song Gabon are those kinds of companies then you're not having to sell the product they'll sell it for you is that your strategy of
eventually we might sell together or we would conduct the selling process. But as we are manufacturing as we partner with them to manufacturing the girl says you can share us with some China's when we do the real Sally in the last stage.
So you're sending mostly for the equipment and the material or you have either revenue stream like charts, I'm by the ass.
So we are selling the class which is a full glass of wine meter by meter or even larger class as the end and we're not making the class we will buy the materials from class companies. We were coded class since we have our unique coding method and we was in CO operate with partners to put integrate all of them together
and then we will sell the class.
All right, maybe time for one more question.
Alrighty, then, let's give a big round of applause to quick flash technologies. And now we will welcome NanoX Medical Corps and their introduction video, please.
Today I'm going to talk about nano x technology and its application in digital radiography,
you may have taken an X ray or even CT to check your body before you know it's not a pleasant experience that traditional X ray technology has its limitations and the digital radiography typically have the following problems First, the radiation brings the cancer risk to the both the patients and medical staff second the machines you really Barki and the needs of 10 to 100 kilowatts. Three the resolution is as low as 100 microns and the contrast is usually low for soft tissues such as grass and organs so
it just show the video already but let's just play it again
alright this cute mini dr compared to the normal dr has many great advantages first the media operates in coasters and 20 centimeter I can cover though the patient has very minimal environmental impact second the minute are used only tend to 100 watts third the meaning they are kind of reach 1.6 micro resolution thanks to his Michael focal point for the resolution and contrast for soft tissue is also much higher for me Dr. Behind this we need dr is our were provided on analytics technology which is fundamentally different will traditional extra technology a first it's a wide angle cone beam. So that's why you can convert to the patient inbound calls distance and traditional X ray is
1010 degree narrow angle on non uniform being. So the patient has to be one metre apart to be good for the cover. Second, nano x is monochromatic energy concentrating just a few movies. So
traditional X ray is a polar chromatic very low quantum efficiency. Third, the nano x is yours face contrast to imaging so it can detect a very small destiny changes to face changes a traditional X ray or use the perception difference and cannot achieve the same effect
of all the team. My name is Joe Joe. I have appeared studying electrical computer engineering and also a Chartered Financial Analyst. I worked for big companies, but usually it's all startups. 2012 I had you on the startup a hedge fund called autumn capital as achieve a quantum architecture 2014 I formed a few Sonic energy solutions in New York was a safe well right now I'm really focusing on this non x technology. I really revolutionary technology. And my partner, Dr. CG one is a former MIT physics professor. He developed the first generation satellite for NASA for a years he created I'm ID and then founded his own research lab to work on his inventions. We have roughly 15 SPR worth and the Mona $30 million and are the Lawrence is helping us with the FDA procedures and clinical trials. Oh, two products. The first problem is this media Dr. which applies to all mobile scenarios, onsite health care emergency I'm doing as this market alone in China is about 10 billion RMB and there's no solution for it. Our next driving development is low dose mammography device. So first, we've tried to finalize these two products and for them on sale as fast as possible. And then we entered the other videographer market
through licensing on the corporation. We also do deep learning using our unique imaging data, I will go to provide a very complete now. No ACC solution you the our own hardware, our own software. And now on that
Well, here is a some easter eggs. And one more thing D. And while the orthopedist told me that your community is too too big, I wanted to be in my backpack. So I got it
are Thank you. So
where are you in production? How long till prototype? Give us a timeline.
Well, the part I will this guy work completed work. But I think it's still a bit too big. So this is the next one which I'm my my goal is to submit this to the Chinese FDA at the end of this year. So a lot of optimization a lot breaking down a lot of
that's my goal.
So there's lots of new imaging companies coming out. I think I've seen four or five presentations recently in you kind of compare your technology to existing technology. But how do you compare it to the new companies are also emerging at the same time that you'll have to compete with?
Well, nobody working on the extra technology to be honest, a lot of people are working on the detective science try to reduce the dose he also works with with us automatically. But we have a two layer of technology wind the source, which already completely done and we also working on the other side, which is face contrast imaging, which will heavily rely on the monochromatic energy. We can create a from here. So what's that come out, but those will be so minimal that it probably going to eat the market off. I'm our business our business well, so you
will compete with MRI and CT and ultrasound. Yes, this
technology technology applies to all the radiography. But once the dose goes so hot, so low, like why on earth of current ghosts, the market of the total emerging market will different. Okay,
do you plan to serve in the States? And if yes, how long do you anticipate that FDA approval process to be? And what are some of the potential challenges that you anticipate,
right? This one uses only microns compared to the millions the other machines are using. So
Dr. is very popularity. So this costume in China file one king us so I'm hoping this one can come on really quickly. And we also developed in something like city. I don't know about the other party yet because it's very different. You know, they might have a different standard or we'll see.
Yeah, even though those dosages are very low. How do you protect the medical workers who would normally be in a different room now it's handheld. So how do you protect the doctor and the nurse and the staff?
Sure, oh, two ways. One is in emergency situations, you probably have it were something but in the regular case, I have the blue thing bedded she's low, you can set it up you can you can stay here and and the radiation entangled with a with a distance by square root of a distance. So if the operation is happening to 20 centimeter by here, it's almost gone.
Thank you. Time for one more question.
I have one you have a specific target consumer industry. I was specifically thinking sports medicine since you know a lot of accidents or incidents occur on the sports field.
I'm sorry, I couldn't hear you. Oh, sorry.
Sorry. just asked us more of a sir Sure. There's one as well also applies to emergencies. Words of that's
inspection security a lot we just picked up the medical because I we think is the most important out of all right
that will conclude nano x Medical Corps presentation. Thank you so much a big round of applause. And now we will have deep scape.ai come to present their innovative project their video Please
Good afternoon, everyone. My name is Sally and co founder of deep scape. So the in the way do that's our CEO and co founder the network attached storage works like private cloud for data storage at home and office Our company is making the word first AI powered consumer us
so sweet knows a huge amount of image data is generated each day and is trending higher very quickly. So how do we start this amount of data is a problem. So we tend to treat this amount of digital content with such ways. Obviously, doing nothing is not a good idea. Besides the hard disk, consumer nice and the cloud storage all have his weaknesses, the consumer not so the market is more focused on officer vacations, they are hard to set up and we saw the AI features here and we have a better solution. So we provide the word first AI powered consumer us and these are specially designed for the image data. It has all the existing NASA advantages. In addition, it has the AI powered image to organize and the image search capabilities.
Our software architecture includes the annotation engine, pencil, dp, and visual search engine, the state of the art deep learning models have been optimized and integrated into our platform,
we see software, every photo and video becomes searchable. Now here are a few examples, you can search Julia and Chandra 2010. So that's you have and you can search for Alan seeing a red skirt
and also a boy with a helmet,
the 2012 birthday party and a
baby go on the beach.
So for each search you can do with text. So for example, you can search for a water bottle and you have different the water bottles. Sometimes it is very hard to describe a specific water water with text. So what you can do is the UK input image and make a tensor search to have a more accurate result.
We think now is the perfect time for this project. So both deep learning algorithm and
AI hardware accelerators are ready
memory density increased very fast with reduce the cost and especially the market is hungry for such a device
I will ration is from non us to edge computing. So first, we'll make AI powered the nuts and the bolts market, once they deploy a certain amount of with the wise we will connect them into a distributed network to compete with all cloud based services. The
content delivery is our first target we are going to do
our one page is more concentrated the answer engineering integration and engineering optimization of Deep Learning Technologies on embedded AI system
here is our team. So our founder and the CEO is experts are often machine learning and embedded the system
I'm a co founder and the specialized all the operation and also for the binary technologies. And our VP of manufacturing has a lot of experience and the connections with all Yes, so
we are the early stage of a
startup company. And we are seeing things
seed around for 600 K, at the we target one year to work out as, as a product and the six months for the prototype.
So So what is your marketing strategy later,
oh, so we really make a device and we make a good study actually on the market. And the first group we are going to target is a hobbyist photographer, because this group is to have a large population and, and
is the easier to target the look at it, there are forums, we can make our advertisement or the there are forums. And also they like to spend the money is typically so it does we go for this group, of course, we are not the rule out for the regular families. Actually, this kind of device, every family we are like to have one is very user friendly. And the go home the your imaging yourself automatically downloaded to your device, and then AI software we are to the annotation and to organize and the venue to search. You can search all money by your Yeah, so that's the first step. Next step. We think that because our device is very powerful on the storage, and also is like a computation power. So we will build a distributed network really compete with cloud pain. So we are doing edge computing to compete with does a cloud based service, especially like a CDN is the first we want to target calcium is this, the lot of company making the video product they have to make a distributed servers is very expensive. So once we have a network there, and then we can really to cost effective to compete with them. So
when I look at your slides, so mostly, when you talk about NASA, you're talking about photos, right so
loud, you could just look at photos, I will say Google Photos has a lot of similar capabilities. I don't know if they don't have all I will say probably a few months they offer very similar so but we argue that you have an edge related ad space, right. So not not totally cloud based. So it besides that is there any other benefits from from your side or
stand with a part of the farmer suicide one side is nice product actually supplied a lot, a lot of mature nice product on the market, they are more focused on the enterprise. And a lot of features for the Office applications or the meantime, a lot of like a cloud based photo, like a photo, Google photo, and also April so they are all the cloud based cloud based that we think we make is really embody the level device and there is a privacy and also his farm costs for the likes of Google and
if you want to the resolution, and also is a high the storage and the DVR charge you'll find a lot so we we make a
one time investment and is cost effective. And also especially for our second phase we even think about is the second phase is once we deploy the either we build a distributed network and we certainly we are providing incentive for the users with a contract with us and then to the that's why we think is a huge market, especially the edge computing these days, they start to picking up
all right, that will conclude our q and a session. And hopefully next year we'll be using deep space at AI to search for photos and videos of svief
all right round of applause. Now welcoming a mesh to present their project their introduction video, please.
Good afternoon looks we have a grandfather. So let me introduce EPA mesh and
its new platform, which will bring a tenfold improvement on the API DevOps
a promotion, how about you need to most of the member has been working in the word past company led by a fortune 500 executives and
successful Chinese startup company founders. We begin this journey
two years ago.
Yeah, folk song programmers be helping them to bring them from the manual process to the modern world of automation be targeted API
API is a collection of smart device. It's facilitate data exchange and the provider cloud service. Where is the white applications the new API economy is emerging with the trillion dollars opportunities
larger market bring a big demand for API right eight work, however, sings most a wider they use our REST API like the common stack and the schema. Therefore most of work has to be done manually. Our solution is to automate those working process by providing API code documentation testing interface and the integration all programmatically Our product is built on CD i f and the have a common API model and the spec this
actually can provide a unified interface for the client decide to access all the underlying device data in the service why hiding all the complexity
and the V over for intellectual property of this invention
enough dishing to DevOps automation, this framework enable us to build our smart middleware to connect different IT system.
our product since launch last year has received a claim from many leading expert and that we won't manage venture competitions.
But the most important test is the market. And
luckily, our product since long launched last year has been used by many global company as well as China's leading government agency and the young are very broad application field. So
imagine started the technology available manga. Three years ago, we launched our first enterprise product will many big customer. Next, we are going to simplify those module and make it available to public cloud target, SMB, using the Parker public cloud platform, we are going to enter API and the data marketplace, eventually we are going to enter the vertical market IoT space. But our strategy is to form partnerships.
You can come of business model, we sell software and integrating service to enterprise on public cloud, we use a paper API call model to remove huge upfront costs to SMB users. Yeah, API, data, the marketplace, be the middleman we can own that discount and provide value added service. And we do technology licensing in smart device. And we
have a revenue and we are looking for 110 million next year, because we already have a cash on hand for continue this journey.
Last, we use this Chinese poetry to close my presentation. And
it says to do the work, you need a shop You're too and we are we are apes, we are also filled automatically programming environment.
Thank you very much.
I have a question from this side. I'm quite familiar with the space since I saw one of API management company so recently, or a few years back, but I don't know, I cannot see what the differences between you RPG which is now Google, Amazon. Ca, and those kinds of API management companies. And you explain briefly and maybe we can have a conversation after
Oh, great question. Yes, yes, we are not only API management company, we also have I integrate the DevOps automation tool, including that the other firm and those are the two innovations, those companies don't have. Of course, those are more mature company. They have a big Clyde, we are young startup. So our current strategy, we are going to start in China market, which we can avoid direct competition with those speaker name. And
they are a lot of opportunity there that that's why if you look at our first many customer is those big name in the Chinese market.
Yeah, they do have JSON development tools also. So I understand.
Okay, thank you.
So what kind of channels of marketing will you use for your go to market strategy to get into horizontal vertical IoT enterprise API, all these markets you listed as so broad? What kind of Salesforce what kind of channels we're kind of partners can you use to make sure that growth is quick? And you know, as the question was asked to beat those competitors who are bigger than you?
Yes, good question. And that's
media want to form partnerships because we know as a startup just by ourselves, we cannot achieve faster growth. So partnership is our main focus even we are willing to give up let's say more than half of the revenue now half of that profit to the partners if we can expand our customer base. Yeah.
Any more questions?
All right. Great. Thank you very much. Okay. That will conclude the second round of our wonderful svief star startup competition projects now are going to ask the judges to cast your final scores and in the meantime, while we do summarize all those scores to calculate our final winners we will invite you all to listen to a panel discussion which will be moderated by one of our judges Mr. Robert neivert partner at 500 startups and so while they're doing that we're going to gradually welcome all of our speakers for that panel and they include rushy me go panache, partner at m12. Microsoft ventures also one of our judges for today's competition Ella Li Senior Director of investment drunk ones when Capital Corporation also one of our judges and Joe stone way Joe founding partner Boston Boston Angel group so will gradually welcome them as we set up the stage. Thank you again judges.