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RL environments Ready-to-run RL environments with tasks, verifiers, reset logic, and traces. Desktop SDK and GUI runtime for model attempts, resets, traces, and verifier results. Evals Model runs, reports, pass@k summaries, and verifier-backed eval evidence.
Enterprise

Resources

About Company, philosophy, and contact details. Manifesto Our vision for model-native software environments. Blog Research notes, eval writeups, and product updates. Docs Read the environment, verifier, run, and export contracts.
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Products

RL environments Ready-to-run RL environments with tasks, verifiers, reset logic, and traces. Desktop SDK and GUI runtime for model attempts, resets, traces, and verifier results. Evals Model runs, reports, pass@k summaries, and verifier-backed eval evidence.

Resources

Manifesto Our vision for model-native software environments. Blog Research notes, eval writeups, and product updates. Docs Read the environment, verifier, run, and export contracts.

Company

About Company and contact details. Enterprise Private workflow environments and data programs.
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Blog

We study how agents learn to do real work in professional software.

In this blog, we share how we test agents in professional software, find where they fail, and turn those failures into better evals, RL environments, and model-improvement signals.

Latest 3 essays
June 5, 2026 Essay

Verifier-backed workflow data for professional software

Professional software workflow data needs verifier audits, pass@k distributions, failure traces, and contamination controls to be useful.

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June 5, 2026 Essay

Why agents need RL environments for professional software

For agents working in professional software, the bottleneck is not only RL algorithms. It is the supply of verifiable workflow environments.

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June 2, 2026 Essay

What counts as good professional software workflow data?

Good professional software workflow data has verifiers, eval splits, failure traces, and evidence that it improves agents.

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