Independent by design.
The system creating the work should not be the sole authority on whether that work is trustworthy.
A service can look healthy and still make the wrong decision. Bohmian gives teams an independent way to check its behavior and keep the evidence.
Alan spent years judging whether analysis could support a decision. Steven built the platforms that put models and services into production. Both had seen work pass its checks without anyone being able to say whether it behaved as expected.
AI made that gap harder to ignore. More work can be created than people can inspect by hand, and failures can stay quiet after release. We started Bohmian to give teams a way to check service behavior and keep the evidence, before and after deployment.
A team should be able to state what a service must do, check it against real behavior, and see the evidence behind the result. That should hold for an ordinary API, a machine-learning service, or an agent.
Bohmian is built around a few durable ideas rather than a single model or review technique.
The system creating the work should not be the sole authority on whether that work is trustworthy.
Assurance should leave behind evidence you can inspect, not just another score or model opinion.
Checking a statistical method, a payment system, and a contract are different problems. They deserve different specialists.
You can't know a system is behaving as intended by checking one part. You have to understand all of it, and how the parts work together.
Models, providers, and tools will keep changing. What your business needs to be true, and the evidence for it, should not start over each time.
More of the world's work is being done by AI. We believe the layer that verifies it is the most important one to get right. That's why we started Bohmian.
One of us spent a career building data and ML systems and judging whether their conclusions hold. The other, building the platforms and infrastructure those systems run on. Bohmian is both.

A career building data and ML systems — and judging whether they’re right.
Alan has published economic research and led data science and ML teams building systems companies rely on to make decisions. At Bohmian, he leads product and the development of systems for intent extraction and verification.

A career spent understanding and building complex systems.
Steven has built the ML and AI platforms large companies run on, and written open-source ones anyone can use. At Bohmian, he leads engineering and the architecture of Wyrd.
We're a small team. Talk to the people who build it →
Explore Wyrd, our open-source assurance infrastructure, or bring Bohmian’s specialist verifiers to your team.