Stealth Company
Build software that gives doctors AI superpowers
Top Tier Investor
Overview
Employees
11-50
11-50
Locations
San Francisco Bay Area
San Francisco Bay Area
We’re a team of seasoned technology and healthcare veterans who have come together to build **software that gives doctors AI superpowers**. Our products combine a unique blend of machine learning research, deep medical expertise, and real-time user interfaces to ambiently support doctors so that they can focus on what they do best: providing care.
We’re still in stealth mode, but over the past 18 months, we’ve executed several watershed technical breakthroughs, and doctors now rely on our real-time AI system every single day. On the heels of these milestones, we **recently closed our Series A in May 2022**. We’re actively growing our team across business, marketing, product, engineering, operations, and clinical functions to add to our incredible tribe of 20+ people, which includes:
- 2nd time founders in healthcare who previously built a virtual primary care practice
- the author of a leading deep learning textbook
- co-founder of Cruise’s ML platforms team
- co-founder of Rev.com’s automated speech recognition team
- healthcare professionals with > 100 years of cumulative clinical experience
We’re still in stealth mode, but over the past 18 months, we’ve executed several watershed technical breakthroughs, and doctors now rely on our real-time AI system every single day. On the heels of these milestones, we **recently closed our Series A in May 2022**. We’re actively growing our team across business, marketing, product, engineering, operations, and clinical functions to add to our incredible tribe of 20+ people, which includes:
- 2nd time founders in healthcare who previously built a virtual primary care practice
- the author of a leading deep learning textbook
- co-founder of Cruise’s ML platforms team
- co-founder of Rev.com’s automated speech recognition team
- healthcare professionals with > 100 years of cumulative clinical experience
Industries
Healthcare
Machine Learning
Artificial Intelligence
Doctors
Natural Language Processing