One-shot AI isn't enough
One-shot pipelines and quick agent analyses capture moments. We uncover the patterns that drive better decisions.
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Grounded and cost-efficient
Domain-grounded operations with data-science tools built for large-scale data, cutting agent cost.
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Iterative optimization
Iteratively optimizes ML pipelines and combinatorial optimization problems, and evolves solutions.
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Data prep to reports
Data-prep and research agents make raw data ML-ready, then generate technical and business reports.
How PiEvolve comes together
Evolutionary engine
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Domain context protocol
A standard for embedding enterprise domain knowledge
Not just a plugin, a standard to embed domain knowledge
DCP tools extract information hierarchically and in depth
Grounds data operations, framing and metrics to your domain
Reusable across use cases, teams and projects
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Domain grounding and Autonomous optimization
Iterative search across ML and combinatorial problems
Data-prep and research agents turn messy data into ML-ready data.
Grounded deep research for ML, tools built for data science.
Iteratively optimizes and evolves ML and combinatorial solutions.
Generates technical and business reports: insights, drivers, plan.
Rank-1 on OpenAI MLE-Bench
Months to Days
End-to-end ML lifecycle
Lower cost
Fewer tokens, DS-specific stack
The end-to-end lifecycle
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Raw data
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ML-ready data
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Modelling
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Insights & reports
Cost-efficient by design: a data-science- and ML-specific ecosystem means lower token usage than general-purpose agents.
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