We build probabilistic models and AI systems from scratch — designed for your specific data, domain, and decision context. From marketing mix models to causal inference engines to production forecasting systems, every engagement produces a tangible deliverable your team can own and extend.

We’re builders, not just advisors. Our work ships.

What We Deliver

Custom Bayesian Models

Hierarchical MMMs, causal inference, CLV, demand forecasting, and specialized domain models. Built with PyMC and deployed in your stack.

AI Agents & Systems

Automated end-to-end analytics powered by Bayesian reasoning. Our MMM Agent reduces manual modeling work by 80%.

Production Engineering

We take prototypes to production. GPU-optimized sampling, reproducible pipelines, and integration with your existing infrastructure.

Specialized Tooling

Custom extensions beyond open-source PyMC-Marketing. Nested logit models, GP time-varying parameters, vectorized inference at scale.

Who We’ve Worked With

  • HelloFresh
  • Colgate-Palmolive
  • Roche
  • Live Nation
  • Takeda
  • Indigo Agriculture
  • Wegmans
  • Akili

“I was able to set up an initial model and get some interesting results and get buy-in internally to go further — that’s where additional expertise was very helpful to get the model to the finish line and to production.”

Manu Martinet, PhD
Lead Data Scientist, Indigo Agriculture

Ready to build?

Start a conversation