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From: jeffrey E. <[email protected]>
Sent: Friday, November 3, 2017 9:25 AM
To: Masha Drokova
Subject: Re:
intrested in mony
=br>
On Fri, Nov 3, 2017 at 3:18 AM, Masha Drokov=
wrote:
what is investor type btw? =hat is one main quality for investor?
<=iv>On Nov 2, 2017, at 9:53 PM, jeffrey E. <[email protected] <mailto:[email protected]» wrote:
=/div>
He is not an in=estor type . He is s partner at a firm but used to be at Microsoft. =ust use him for advice
11:13 PM Masha Drokova
wrote:
Thank you for=the comprehensive feedback Steven.
For me the main value is that the system is a= order of magnitude cheaper than existing technologies,
premised on levera=ing data to help users see what daily elements are affecting their blood s=gar, and predicting
dangerous highs and lows before they happen so they ca= take actions beforehand. To date, their beta app has lowered
blood sugar averages i= 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
regulations and satur=tion on the market.
I run Day One Ve=tures fund and based in San Francisco. I'd be happy to connect in pers=n sometime to
learn about about your experience and tell about our investm=nts and opportunities I see.
O= Nov 2, 2017, at 3:24 PM, Steven Sinofsky
wrote:
Greetings Masha,
I apologize for the delay. I was at some events in in=UK where I did not have connectivity.
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I have work=d on a related portfolio company so I will have to be a bit abstract on th= specifics
of this opportunity. So please excuse these brief thought=. Also, the only information I had was what was provided in
your mail whic= was limited relative to any detailed analysis.
*=In general the challenge with glucose measurement is the finger prick. Any=device that relies
on this will only be marginally better than any other d=vice, whether or not there is software or a slightly more
convenient measu=ing device. This is a statement about the inconvenience of a prick (and lo=g term challenges) but also
the medical challenges on relying on that poin= in time.
* My sense is that going down the path of an innovatio=, that still has a prick, but requires a
level of FDA approval is a diffic=lt one to approach.
• This is a very crowded space. There are a =ot of apps, a lot of measuring devices, a lot of
mixtures of app and measu=ing devices. It is very difficult to avoid appearing as a commodity to con=umers.
* While I understand there is potential 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 data.
• The re=l opportunity I might see is around measuring glucose or some related tele=etry to
assist in compliance that is outside the scope of a finger prick a=d measuring glucose directly. It seems like we should
have some other data=point upon which to apply machine learning.
I hop= this helps...any friend of JE is a friend of mine.
On Nov 1= 2017, at 4:43 PM, Masha Drokova
> wrote:
<=lockquote type="cite">
Thank you Jeffrey. Steve, gre=t meeting you.
Would appreciate your feedback
<=iv>
On Nov 1, 2017, at 9:31 AM, jeffrey E. <[email protected]
<mailto:jeevac=tion@gmailcom» wrote:
=br>
steve can you give some guida=ce
=d, Nov 1, 2017 at 12:20 PM, Masha Drokova . .n
If >=wrote:
I'm looking to in=est at the company doing AI-based glucose monitoring system
for people wit= diabetes. We made tech evaluation, talked to a few experts and more=a question about the market and
regulations. Likely no, because it&#=9;s complex area, but still thinking of them.
May be someone in your netw=rk who knows this area and can advise on this
kind of tech? </=iv>
Center Health
Deck:
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Our memo:
https://docs.google.com/document/d/1M7ZV7VEI8CTnb4EtYWFH2sq5=cCm0PM6g1AlcwrIOtM
<https://docs.google=com/document/d/1M72V7VEI8anb4EtYWFH2sq5dcCm0PM6g1AlcwrIOtM>
<=ont face="Roboto-Regular">
Center Health is=C2*building an Al-based glucose monitoring system for the 1
in 11A=ericans who suffer from diabetes, based on machine learning and their pers=nalized Al, Aria. Users subscribe to
their disposable test strips, a =14B/yr US market, which are delivered monthly, as Aria learns about their =iabetes and
prompts behavioral changes to lower blood sugar. The=system is an order of magnitude cheaper than existing
technologies, premis=d on leveraging data to help users see what daily elements are affect=ng their blood sugar, and
predicting dangerous highs and lows before they =appen.
Pros
— Exist=ng glucometers from big companies are very old-fashioned and
outdated, tho=e companies make their revenue from overpriced strips
<=iv style="font-weight:normal">40=94 Direct competitors, such as iHealth and
Dario have negative=customer reviews and minor
<=ont face="Roboto-Regular">— Uses FDA-approved circuits to g=t the
approval in an automated manner
=ons
— Enormous pressure both from the industry p=ayers and companies such as
Apple and Google that try to develop non-invas=ve glucose monitoring that will wipe out test strip products=/div>
— Young team
p=ease note
The information contained in this communication is
co=fidential, may be attorney-client privileged, may
constitute inside inf=rmation, and is intended only for
the use of the addressee. It is the p=operty of
JEE
Unauthorized use, disclosure or copying of this
com=unication or any part thereof is strictly prohibited
and may be unlawfu.. If you have received this
communication in error, please notify us im=ediately by
return e-mail or by e-mail to [email protected]
<mailto:jeevacation=gmail.com> , and
destroy thi= communication and all copies thereof,
including all attachments. copyr=ght -all rights reserved
=C24, please note
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The informat=on contained in this communication is
confidential, may be attorney-cli=nt privileged, may
constitute inside information, and is intended only =or
the use of the addressee. It is the property of
JEE
Unauthoriz=d use, disclosure or copying of this
communication or any part thereof =s strictly prohibited
and may be unlawful. If you have received this
return e-mail o= by e-mail to [email protected] <mailto:[email protected]> , and
destroy this communication and all copies =hereof,
including all attachments. copyright -all rights reserved
</=iv>
please note
Th= information contained in this communication is
confidential, may be at=orney-client privileged, may
constitute inside information, and is inte=ded only for
the use of the addressee. It is the property of
JEE
=nauthorized use, disclosure or copying of this
communication or any par= thereof is strictly prohibited
and may be unlawful. If you have receiv=d this
communication in error, please notify us immediately by
retur= e-mail or by e-mail to conversation-id 25269 date-last-viewed 0 date-received 1509701111 flags
8590195713 gmail-label-ids 7 remote-id 764759 <mailto:[email protected]>
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ℹ️ Document Details
SHA-256
e6be305b612c84f1029784ce1816ea07d78d84b99a5dfa32585457862b2de251
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EFTA02572130
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