Ship a model from research to audited production without an engineering hand-off. Answer your next LP operational due-diligence questionnaire from screenshots in the UI. Run in our managed GCP — or in your own, with BYOC.
We are pre-v1. The architecture is in the Architecture page; comparison to SigTech / Domino / Palantir / Databricks is on the Comparisons page.
Three load-bearing differentiators
Your data and code stay in your cloud.
Every tenant runs in a dedicated GCP project — optionally in your own GCP organisation. No shared database, no shared application process, no shared secrets vault. LP operational due-diligence questions about residency and isolation answer themselves.
No vendor lock-in — you can self-host if you choose.
Polars, Postgres + extensions, MLflow, Dagster, FastAPI, React, Vite, uv, Cloud Run. Every load-bearing component is permissively licensed. A fund that wants to pull infrastructure in-house in three years can do so without a re-platforming exercise.
Walk-forward, PBO, DSR, bi-temporal data as defaults — not add-ons.
PBO/DSR computed on every backtest. Walk-forward validation gates model promotion. CPCV instead of vanilla k-fold. _knowable_at filtering at query-build time, not researcher discretion. A prospect can tell in 90 seconds whether the platform was built by people who know the field.
Evaluating for a specific fund? Email us.