Powering reasoning models with production software environments, expert human judgment, and secure enterprise workflows.
Modular data pipelines engineered to train autonomous agents and complex reasoning systems.
Full terminal outputs, multi-file codebases, and step-by-step human debugging paths.
All code runs, compiles, and passes automated test suites in active sandboxes.
Real triage logs, incident remediation, and multi- service trade-offs.
Verified practitioners provide high-signal human reasoning and domain-specific workflows.
Structured datasets designed for modern model alignment and evaluation workflows.
Human-reviewed outputs designed to maintain consistency across training pipelines.
Enterprise workflows can be shared while keeping sensitive intellectual property protected.
Controlled access to approved workflows and operational data for model development.
Infrastructure designed to separate useful training signals from proprietary enterprise assets.
From a precisely scoped task to a fully validated training pipeline.
START SCOPING ↗We define exact task architectures, reasoning requirements, and evaluation rubrics tailored to your model.
Deploy verified specialists or extract approved operational workflows through secure enterprise pipelines.
Every trace is generated and validated inside live runtime environments (terminals, IDEs, and specialized tools).
Ready-to-train datasets delivered directly to your training stack with auditable copyright and IP clearance.
Data that holds up in real environments, backed by the people and provenance behind it.
We deliver dynamic terminal logs, shell commands, and runtime outputs rather than static question-and-answer pairs.
Every token comes with verifiable legal lineage and explicit licensing, preventing model contamination and copyright liability.
Every task is handled by verified practitioners who understand real-world architectural compromises.
Pre-configured environments equipped with MCP servers, tool- calling APIs, and sandboxes for long-horizon agent training.
Stop bottlenecking on synthetic data. Let's engineer the workflows that will power your next flagship model.
Talk to an Architect ↗