We build world models for the self-driving enterprise.
Every organisation is adopting AI the way driving did: assistance first - low-stakes & repetitive tasks, supervised - before self-driving. The destination is different in kind: consequential work executed by AI, directed by people, and accountable to them.
For AI to be trusted by humans on high-stakes work requires seeing the potential consequences first. That’s what we’re building: the Enterprise World Model, a model of the business that knows what will happen before anything acts.
The first Fortune-500-scale company operated predominantly by AI will run on a world model built by Ergodic.
Ergodic is led by operators who have delivered enterprise AI at scale, at Rolls-Royce, Accenture, Goldman Sachs, and across Fortune 500 deployments in every sector.
The operators behind Ergodic.
Zubair Magrey
Former GM of the marketing vertical at an AI startup, after a career building and selling data and AI solutions across industries at Accenture. Degree in Computer Science.
Andre Franca
Former VP of R&D at an AI startup and executive director at Goldman Sachs, where he led model risk for GS Bank Europe. PhD in Theoretical Physics, LMU Munich.
Andrej Nikonov
Former CEO and co-founder of Cognostics, building AI for Fortune 500 companies before its acquisition by Cloudflight. MSc Physics, Cambridge; PhD in Graph Theory, LMU.
Build the future with us.
If world models fit your most consequential decisions, we would welcome sharing what we have learned.
Talk To An Expert