Built for Quant Practitioners
We understand the gap between AI demos and production-ready quantitative research tools.
Our Mission
Most AI tools for finance are either toy demos or enterprise platforms that take months to implement. We build the missing middle: production-ready workflows that integrate with your existing Python, SQL, and notebook environment without breaking changes.
Why This Matters
Quantitative researchers spend 80% of their time on data preparation, compliance documentation, and tooling setup. Meanwhile, the most valuable work—generating insights and testing hypotheses—gets squeezed into whatever time remains.
We automate the tedious parts so you can focus on what you do best: finding alpha in the data.
Our Approach
Compliance First
Every workflow includes audit trails, logging, and documentation that your risk team will approve.
Stack Integration
Works with your existing Python environment, SQL databases, and Jupyter notebooks.
Production Ready
Tested patterns that handle edge cases, error conditions, and scale beyond proof of concept.
No Vendor Lock-in
Open patterns you can modify, extend, and run anywhere—including your own infrastructure.
Ready to get started?
Join other quantitative researchers who are shipping research faster with our compliance-safe LLM workflows.
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