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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=.
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* 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
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— 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>
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gmail-label-ids 7 6 remote-id 764740
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b52fba5c51380b2d33ac44e52a3efc31fb1a41368419f0e869b7a5ee842baea3
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EFTA02572117
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