Making Financial AI Safer
We believe AI systems that handle real money need to be held to a higher standard. Our work focuses on making financial LLMs more reliable, more transparent, and more aligned with the humans who depend on them.
Financial AI Has a Trust Problem
"A hallucination isn't just wrong. It can cost someone their savings."
When AI systems make financial decisions, the stakes are real. A model that can't explain its reasoning isn't just opaque, it's dangerous. We started UV Labs because we saw too many teams shipping financial AI without the data, tooling, or rigor to build systems people can actually trust.
Our approach is simple: give models better examples to learn from. Decision episodes that show not just what to do, but how to think. Verified outcomes so models learn from reality, not noise. Complete reasoning traces so every decision is explainable. We're building the infrastructure for financial AI that's safer by design.
From Data to Deployment
Everything you need to build financial AI that actually works.
Training Data
Decision episodes with complete reasoning traces, cryptographically verified outcomes, and the context models need to learn why, not just what.
Custom Environments
Gym-compatible RL environments built around your product's workflows. Eval suites that catch failures before your users do.
Model Training
We fine-tune open-source models until they actually perform. No black boxes, full transparency on what we train.
Managed Hosting
Deploy to HuggingFace, Replicate, and OpenRouter with monitoring and reliability guarantees.
The People Behind UV Labs
Distributed across two continents, united by a mission.
Building Something in Financial AI?
We're happy to share what we've learned, whether or not it leads to working together. No pitch deck, just a conversation about what you're building.
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