AI is fast becoming one of the building blocks of society and holds huge potential for productivity gains, automation and improvements to life. As techniques advance we make better models and enable new use-cases. However it remains much harder to validate that AI systems will act appropriately when deployed in the real world.
Safe Intelligence was founded to provide new technical solutions to bridge this gap in model validation and robustness. For the past two years the team has been working on extending deep academic research on formal verification of machine learning models and in model robustification through certified learning.
These techniques make it possible not just to check whether individual test cases pass or fail, but to verify whether they will always do so under a change in the environment. The same methods also make it possible to make models more robust to change during operation and hence gain significantly in performance.
Today we’re excited to announce our seed funding round led by Amadeus Capital Partners and with participation from VSquared Ventures and OTB.VC. The press release can be found here!
With the new investment the company will release new tooling and an enterprise grade platform for ML validation and robust model performance. Join us on the journey by:
- Signing up for our early access program
- Becoming part of the team!
Thank you to Amadeus, VSquared, OTB and all the early customer collaborations who’ve helped shaped all the progress so far!
