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Building RL environments for coding and computer use.
A simulation environment is a realistic software world an AI agent can act inside, with the same applications, terminals, and workflows a person would use, instrumented so that success is measured automatically.
Previously JupyPilot, Operative, Operative.sh, operative.sh, Operative
Co-founder and CEO @ Refresh | ex-ML @ Uber, CS @ UIUC.
Co-founder and CTO @ Refresh | ex- @Amazon @CapitalOne Previous focus has been in vision data, voice data, tabular data in the form of data pipelines. Web scale scraping previously.
Founded 2025 · Source
Source-based assessment · automated evidence rules
The retained text does not establish product availability or customer use.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
Agents that curate your data, post-train open-weight models, evaluate and serve them. You own the weights.
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Aviro designs challenging worlds for AI models to explore and solve problems, delivered as post-training datasets and reinforcement learning environments.
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Make models like it's nothing. The custom model factory for cheaper, better, faster AI.
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Ship AI agents that compound. Full-fidelity traces, plain-English alerts, auto-authored skills, and regression-proof evals — OpenTelemetry-native.
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Custom conversational audio datasets, expert annotation, and licensed voice actor data for training and evaluating speech and voice AI models.
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BAML is one toolchain from the compiler to production. Build, test, trace, query, and alert on your code with tools that all read the same types.
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