AI co-development, built on Borch
Probabilistic deep learning built with your team, not thrown over a wall. Same engine as our products, deployed into your stack, and yours to run when we step back.
What we deliver
Every engagement produces a production-ready model with calibrated uncertainty on every prediction, plus a team on your side that understands it. We work in the areas where that matters most.
Uncertainty-aware deep learning
Bayesian neural networks for classification, regression, and computer vision, with calibrated credible intervals instead of point predictions.
Probabilistic forecasting
Hierarchical time-series models for demand, marketing-mix, and commercial planning. Priors that encode domain knowledge, posteriors you can actually interpret.
Probabilistic graph neural networks
Equivariant GNNs for molecular property prediction and virtual screening, with uncertainty on each compound to prioritise experimental effort.
Computer vision with confidence
Detection, classification, and semantic segmentation that knows when to flag the image for a human. Healthcare, manufacturing, and infrastructure inspection, and dual-use ISR and asset inspection for defense.
Typical engagement shapes
Most clients start with a scoped proof of concept and grow from there. Below is the shape that usually makes sense.
4 to 8 weeks
Scoped validation on your data. We agree on a success metric, build the model, and report honestly on whether it meets the bar. If the data is not there, you know early.
2 to 4 months
A PoC that meets the bar becomes a production-hardened system: model code in your repo, inference pipeline, monitoring, retraining. Your engineers pair with ours throughout, so the knowledge transfers with the code. Deployed on your infrastructure, on-prem or air-gapped for sovereign and regulated environments.
Ongoing
For teams without ML capacity in-house, we operate the models we built. SLAs on drift, calibration, retraining, and incident response.
Why work with us
Own technology stack
We ship on Borch, our own probabilistic programming language. We're not reselling someone else's framework.
Research-grade team
Backed by physics, mathematics, and computer-science backgrounds, with PhDs and MScs leading the research. We publish our work and benchmark it openly. See publications.
Production track record
Over 2100 models deployed in production across healthcare, finance, manufacturing, and drug discovery. Customer cases.
Ready for the next step?
Tell us the decision you need to make with confidence. We'll tell you honestly whether a model can help.