Compliant feature store
Pre-approved, lineage-tracked features ready to reuse - upstream governance blocks non-permissible data before a model ever sees it.
Solutions · Foundations
Enhance models with the latest ML - with the highest governance and speed to production.
A governed modeling pipeline with complete transparency: modelers see compliance requirements while they build, and role and data governance are automated - so teams innovate within boundaries instead of discovering them at review.
Latest ML
Modeler
Workspace
Workspace
- Build
- Validate
- Test
Compliance
in the Flow
in the Flow
- Policies
- Controls
- Audit
Role Governance Right access.
Right actions.
Right actions.
Data Governance Trusted data.
Every time.
Every time.
Speed to Production Go from idea to impact
- faster and safely.
- faster and safely.
The problem: the constraint you couldn't see until validation.
The most expensive words in modeling are “validation found an issue” - work revised because approved data, permissible features, and documentation standards were invisible while you built.
Automated approval workflows
Maker/checker hand-offs, committee interactions, and documentation templates run as workflow - evidence accumulates while the work happens.
Standardized dashboards & documentation
ROC and performance metrics, compliance measures, and approval rates on standardized dashboards - MRM docs generated from the system of record.
Decay prevention
Real-time performance monitoring with automated alerts when metrics drift - course-correct before decay costs accuracy, fairness, or profit.
Modelers ship more, validators trust more.
The same transparency that speeds development is what makes review fast: validators work from the same system of record, with self-documented audit trails and challenger comparisons ready to inspect.
Same system of record
One source of truth across the lifecycle.
Self-documented audit trails
Built-in transparency that speeds review.
Challenger comparisons
Easy to inspect, ready to act.
See the governed modeling pipeline.
From dataset to deployed model - with the validation evidence generated along the way.