UnifyID is the first holistic implicit authentication platform designed for online and physical world use. This solution utilizes sensor data from everyday devices and machine learning to seamlessly authenticate users. By combining 100+ attributes, UnifyID achieves more than 99.999% true rejection rate. UnifyID unanimously won RSA Innovation Sandbox Challenge in 2017, placed #1 in Security & Privacy at the 2017 SXSW Accelerator Pitch and was runner-up at TechCrunch Disrupt Battlefield!
An ML organization at the core funded by Andreesen Horowitz, NEA, and Stanford StartX
We are a group of security and machine learning experts from MIT, Stanford, Berkeley and CMU, and we are out to fix authentication forever. We have experience in some of the world's top companies in security, user experience, machine learning, and risk management, such as Apple, IBM, Symphony, Facebook, Cloudflare, and more.
More inbound interest from companies than we currently know what to do with, join a rapidly growing team where you can have a high impact early on in the company trajectory.
At UnifyID, we thrive on tackling the hard stuff first, working closely with each other in building meaningful products to make how we see authentication today vastly different from the status quo: passwords. Imagine a world where you are seamlessly authenticated for purchases, can securely access your smart devices pin-free, and never needing to provide your mother’s maiden name as a way to show that it is really you.
Contribute to the bleeding edge of machine learning, security, and implicit authentication.
Take time off as needed or WFH
We have several dogs already and are always ready to welcome more
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.