We started Ergodic with a straightforward idea: AI should work for people, not slow them down.
Whether you're managing supply chains for a manufacturer or leading ad sales at a publisher, you know how tough it is to stay on top of everything. Making decisions with confidence, when every moment brings more data, can feel impossible.
We are drowning in content & data, but starved of knowledge.
The tools we have now?
Organisations across every sector still rely on data wrangling in spreadsheets and static dashboards to run their organisation. Sure, they’re great at bringing data together to show what happened last month. But what about what to do next month? What’s the best path forward, and what will actually move the needle?
What about AI?
Predictive AI and generative AI are exciting, no doubt. But let's be honest—they come with their limitations (and we won’t talk about the shortage of skilled data scientists to develop them). They predict what might happen or complete the next word in a sentence, but try getting a clear, actionable answer out of them for a "what-if" or "what-should-we-do-next" question. It gets messy fast.
We created Ergodic because we think an AI that can answer these types of questions won’t just be nice to have; it will become table stakes across every industry.
By removing the manual data grind and surfacing concrete actions to decision-makers to accelerate critical choices —while keeping actions under human control—people can be freed to focus on what truly matters: solving problems, creating new things, and driving progress.
That requires a change in approach: we’re building toward that future with a new type of AI we call Enterprise World Models.
