The Rehearsal Studio for AI Agents

Shaping the next wave of artificial intelligence through hands-on practice with real-world tools

The Learning Loop

01
Attempt
Models engage with curated action-centric datasets, trying tools and exploring solutions in real-world scenarios.
02
Evaluate
Immediate feedback on outcomes, identifying gaps between intention and execution across complex workflows.
03
Learn
Iterative refinement through failure analysis, building muscle memory for orchestration rather than single-turn responses.

Three Fronts of Focus

Full-Toolbox Problem Solving

Teaching models to naturally select and combine the right tools for complex, multi-step tasks—moving beyond single-function execution to orchestrated problem-solving.

Human-AI Teamwork

Building systems that understand when to collaborate with humans and when to operate independently, creating seamless partnerships in open-ended workflows.

Scientific Method Integration

Baking in systematic approaches: fail fast, diagnose accurately, refine systematically, and iterate continuously toward better solutions.

Tool Agnostic by Design

Whether the environment exposes APIs, CLI commands, or tomorrow's innovations, our pipeline concentrates on the pattern of thinking and adapting across steps. This allows frontier AI teams to swap in their own toolsets without rewriting the curriculum, while giving models rich experiences of how real work unfolds long before the first parameter gets updated.

Think of Stratalink as the rehearsal studio, not the instrument shop.

We're building the pipeline that pumps out end-to-end problem-solving scenarios—complete with all the starts, stumbles, and second tries that real workflows demand.