Verifiable long-horizon training environments

Verified Environments For AI Agents
And Post-Training Loops

The Synthetic Data Company builds verifiable training environments for coding agents, finance professionals, and transactional lawyers. Long-horizon tasks with rich feedback signals for stronger post-training performance.

Verticals

Training Environments Across Industries

The Scaling Law

More Environments Produce Better Models

Model performance scales with the number of diverse, verifiable long-horizon training environments, so environment count directly controls downstream capability growth.

Y-axis: Average Ranking (lower is better)

Data from Qwen 3.5 Technical Report (Alibaba, 2026). Average ranking computed across BFCL-V4, VITA-Bench, DeepPlanning, Tool-Decathlon, and MCP-Mark.

The deepest environments.
The longest horizons.
The strongest models.

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