Re-defining the limits of operational efficiency

In a world where super-intelligence is abundant, the only barrier to deployment is giving AI the proper context about your business.

Our mission

Building the missing bridge between super-intelligence and your business

AI will unlock tens of trillions of dollars in economic value, transform entire sectors, and bring an age of abundance like we’ve never seen before.

However, AI adoption has proven very limited and challenging. Models are already capable of automating far more than businesses have put them to use. This is because the people who know how to build effective AI solutions rarely have the operational context of a specific company; and the people who understand that company’s workflows rarely have the expertise to automate them.

Subliminal connects those two worlds by learning how your business actually works. It gives AI the operational context to identify what can be improved and build automations around the work your teams do every day.

Meet the team

Built by the people who have trained frontier models and transformed multi-billion dollar companies

We’re former quants, AI researchers, and engineers from OpenAI, MIT, Stanford, Jump Trading, and Optiver, including IOI, Math Olympiad, and Putnam winners.

Matthieu Huss
MIT researcher and post-training startup founder. Won largest AI/Hardware competitions in China and USA.
Tomer Moran
Built and operated critical software for hospitals; responsible for platform, security, and compliance.
Ozaner Hansha
Previously internal AI infrastructure, agentic capabilities, and data partitioning at Optiver.
Andrew Mackenzie
High-performance computing, deep learning research, and AI infrastructure at Jump Trading. Previously Amazon ads.
Tyler Killian
Built and maintained internet-scale data crawlers at Exa. Putnam top 500.
Ethan Chang
MIT researcher in AI for robotics. Previously Apple and OpenAI, evaluations for first reasoning models.