EnvironmentsIn development
Build the capabilities
your models need.
We’re building reusable training environments that combine realistic tasks, tool contracts, training graders, and sealed evaluations.
A complete setting for learning a task.
Tasks and tools
Repeatable work with defined inputs, outputs, and tool behavior. Each run starts from a known state.
Training feedback
Graders that turn task performance into a training signal, with checks for shortcuts that can inflate scores.
Sealed evaluation
Held-out cases and answers to measure whether the model’s capabilities carry over to new work.
Initial focus
Financial document work.
The first environment is in development for extracting and reconciling facts from financial filings. Tasks pair source documents with structured outputs, automated checks, and held-out evaluation cases.