We build custom RL environments that teach AI to use your APIs, read your docs, and work within your product. Models that actually understand finance.
For fintechs and financial AI teams.
We build a lightweight open-source RL environment, seed dataset, and eval suite for your product.
AI researchers can train their models to use your product with zero integration work on your end. We publish your environment on major training platforms, making your product a built-in capability for the next generation of AI.
Teams that want a low-risk first pass
Teams that want stronger coverage and cleaner training readiness
Teams that want a serious training asset
Larger teams with custom needs
We train open-source models on your environment that actually perform on your product's workflows.
A model trained on your product is more reliable, safer, and faster than a generic LLM. It knows your APIs, handles your edge cases, and fails gracefully when it should. Less hallucination, fewer errors, better results.
Teams that want a lightweight custom model fast
Teams that want a stronger small or mid-sized model
Teams that want a serious agent or research model
Teams with larger model ambitions or unusual constraints
Get your model into production with the right level of support, from self-hosted to fully managed.
Your model goes live on platforms like HuggingFace, Replicate, and OpenRouter, where thousands of developers can discover and use it. We handle the infrastructure so you can focus on your product.
Tell us about your product and workflows. We'll scope an environment that fits your needs and budget.