Data Engineering & Intake
Ingest CSV, Parquet, JSON and Excel; validate schema, sizes and types; profile data and flag quality issues before any model runs.
Data engineering · Analytics · Governance
Commercial data science, built around evidence.
A tenant-secure platform for data engineering, automated modelling, industrial analytics and evidence-grounded interpretation - with reproducible, auditable results you can defend.
What you can do
Automated Feature Engineering
Type-aware transformations with entity- and time-aware splits so nothing leaks across train and test. Every transformation is recorded.
Model Orchestration
A versioned model zoo with gate-first selection: a candidate that fails a mandatory gate cannot win on a better average score.
Anomaly & Reliability
Statistical and industrial analytics (SPC, OEE, RUL, forecasting, anomaly scoring) for operational and financial signals.
Evidence, not vibes
Every run records a dataset fingerprint, parameters, seeds, metrics and artifact checksums, and passes leakage, multicollinearity and performance gates. When the data can't support a claim, the platform says so.
Product capabilities & limits →
3free analytical runs / month