📄 Extracted Text (714 words)
From: Steven Sinofsky
To: Masha Drokova
Cc: "jeffrey E." <jeevacation®gmail.com>
Subject: Re:
Date: Thu, 02 Nov 2017 22:24:25 +0000
Greetings Masha,
I apologize for the delay. I was at some events in in UK where I did not have connectivity.
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 excuse these brief thoughts. Also, the only information I had was what was provided in
your mail which 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 device, whether or not there is software or a slightly more convenient
measuring device. This is a statement about the inconvenience 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 crowded space. There are a lot of apps, a lot of measuring devices, a lot of mixtures of app and
measuring devices. It is very difficult to avoid appearing as a commodity to consumers.
* 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 real opportunity I might see is around measuring glucose or some related telemetry to assist in compliance
that is outside the scope 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.
On Nov I, 2017, at 4:43 PM, Masha Drokova < wrote:
Thank you Jeffrey. Steve, great meeting you.
Would appreciate your feedback
On Nov I, 2017, at 9:31 AM, jeffrey E. <jeevacation®gmail.com> wrote:
steve can you give some guidance
On Wed, Nov 1, 2017 at 12:20 PM, Masha Drokova < > wrote:
I'm looking to invest at the company doing AI-based glucose monitoring system for people with diabetes.
We made tech evaluation, talked to a few experts and more a question about the market and regulations.
Likely no, because it's complex area, but still thinking of them.
May be someone in your network who knows this area and can advise on this kind of tech?
Center Health
Deck:
EFTA00965642
Our memo.
Center Health is building an AI-based glucose monitoring system for the 1 in 11 Americans who suffer
from diabetes, based on machine learning and their personalized Al, Aria. Users subscribe to their
disposable test strips, a $14B/yr US market, which are delivered monthly, as Aria learns about their diabetes
and prompts behavioral changes to lower blood sugar. The system is an order of magnitude cheaper than
existing technologies, premised on leveraging data to help users see what daily elements are affecting their
blood sugar, and predicting dangerous highs and lows before they happen.
Thar
— Existing glucometers from big companies are very old-fashioned and outdated, those companies make
their revenue from overpriced strips
— Direct competitors, such as iHealth and Dario have negative customer reviews and minor
— Uses FDA-approved circuits to get the approval in an automated manner
Cons
— Enormous pressure both from the industry players and companies such as Apple and Google that try to
develop non-invasive glucose monitoring that will wipe out test strip products
— Hardware startup without a product to sell yet, finalizing the development
— Young team
please note
The information contained in this communication is
confidential, may be attorney-client privileged, may
constitute inside information, and is intended only for
the use of the addressee. It is the property of
JEE
Unauthorized use, disclosure or copying of this
communication or any part thereof is strictly prohibited
and may be unlawful. If you have received this
communication in error, please notify us immediately by
return e-mail or by e-mail to [email protected], and
destroy this communication and all copies thereof,
including all attachments. copyright -all rights reserved
EFTA00965643
ℹ️ Document Details
SHA-256
9cf23b0a53f7e14b8a486496baa22d2a10b7398908a0846045018cb5d1baa6e2
Bates Number
EFTA00965642
Dataset
DataSet-9
Document Type
document
Pages
2
Comments 0