EFTA02572117.pdf

DataSet-11 3 pages 823 words document
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From: jeffrey E. <[email protected]> Sent: Friday, November 3, 2017 4:53 AM To: Masha Drokova Subject: Re: He is not an investor type . He is s partner at a fi=m but used to be at Microsoft. Just use him for advice On Thu, Nov 2, 2017 at 11:13 PM Masha Drokova >=wrote: Thank you for the comprehensive feedback Steven. For me the main value is =hat the system is an order of magnitude cheaper than existing technologies= premised on leveraging data to help users see what daily elements are aff=cting their blood sugar, and predicting dangerous highs and lows before th=y happen so they can take actions beforehand. To date, their beta app has lowered bl=od sugar averages in over 55% of users 2x better than the world's most=prescribed diabetes drug, Metformin. Which means that with the help of the=date diabetes would need to use less drugs. However I'd agree on complexity of r=gulations and saturation on the market. <=iv>l run Day One Ventures fund and based in San Francisco. I'd be happ= to connect in person sometime to learn about about your experience and te=l about our investments and opportunities I see. On Nov 2, 2017, at 3:24 PM, Steven Sinofsk wrote: Greet=ngs Masha, I apologize for the delay. I was=at some events in in UK where I did not have connectivity. adiv> I have worked on a related portfolio company so I will have to be=a bit abstract on the specifics of this opportunity. So please excus= these brief thoughts. Also, the only information I had was what was provi=ed in your mail which was limited relative to any detailed analysis. =div> * In general the challenge with glucose measurement is =he finger prick. Any device that relies on this will only be marginally be=ter than any other device, whether or not there is software or a slightly =ore convenient measuring device. This is a statement about the inconvenien=e of a prick (and long term challenges) but also the medical challenges on=relying on that point in time. * My sense is that going down the=path of an innovation, that still has a prick, but requires a level of FDA=approval is a difficult one to approach. * This is a very crowde= space. There are a lot of apps, a lot of measuring devices, a lot of mixt=res of app and measuring devices. It is very difficult to avoid appearing =s a commodity to consumers. * While I understand there is potent=al to see innovation using novel approaches to analysis of data, it is not=clear to me how much better the approach can be for an individual with dat=. EFTA_R1_01741571 EFTA02572117 * The real opportunity I might see is around measuring glucose=or some related telemetry to assist in compliance that is outside the scop= of a finger prick and measuring glucose directly. It seems like we should=have some other data point upon which to apply machine learning. I hope this helps...any friend of JE is a friend of mine.</=iv> On Nov 1, 2017, at 4:43 PM, Masha Drokova =rote: Thank yo= Jeffrey. Steve, great meeting you. Would appreciate your =eedback On Nov 1, 2017, at 9:31 AM, jeffrey E. <[email protected]=m> wrote: steve ca= you give some guidance On Wed, Nov 1, 2017 at 12:20 PM, Masha Drokova «. ='m looking to invest at the company doing AI-based glucose monitoring =ystem for people with diabetes. We made tech evaluation, talked to a=few experts and more a question about the market and regulations. Likely n=, because it's complex area, but still thinking of them. q=pan> </=pan> May be=someone in your network who knows this area and can advise on this kind of=tech? Center Health Deck: </=ont>https://drive.google.com/file/d/O85O93D3IJArEbn=dll4elVob0U/view <https://drive.google.com/file/d/0BSO93D3LIArEbXBsdll4=IVob0U> <=ont face="Roboto-Regular">Our memo: https://docs.google.com/document/d/1M7ZV7VEIRCTnb4EtYWFH2sciScicC=0PM6g1AlcwrlOtM <https://docs.=oogle.com/document/d/1M7ZWVEIRCTnb4EtYWFH2sq5dcCm0PM6g1AlcwrIOtM> Center Health is bui=ding an Al-based glucose monitoring system for the 1 in 11 Americans =ho suffer from diabetes, based on machine learning and their personalized =1, Aria. Users subscribe to their disposable test strips, a 5148/yr U= market, which are delivered monthly, as Aria learns about their diabetes =nd prompts behavioral changes to lower blood sugar. The system i= an order of magnitude cheaper than existing technologies, premised on lev=raging data to help users see what daily elements are affecting their=blood sugar, and predicting dangerous highs and lows before they happen.=C2* Pros 2 EFTA_R1_01741572 EFTA02572118 — Existing gluco=eters from big companies are very old-fashioned and outdated, those compan=es make their revenue from overpriced strips — Direc= competitors, such as iHealth and Dario have negative customer=reviews and minor — Uses FDA-approved circuits to get the ap=roval in an automated manner Cons — Enormous pressure both from the industry players an= companies such as Apple and Google that try to develop non-invasive gluco=e monitoring that will wipe out test strip products Q=94 Hardware startup without a product to sell yet, finalizing the developm=nt — Young team </=iv> conversation-id 25269 date-last-viewed 0 date-received 1509684786 flags 8590195717 gmail-label-ids 7 6 remote-id 764740 3 EFTA_R1_01741573 EFTA02572119
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EFTA02572117
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DataSet-11
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3

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