Platform capabilities
Governance built into every model and agent.
Generic AI is hard to trust because no one can see how it decides. Data-Centric AI Assurance builds governance into every model and agent from the start, with end-to-end lineage, trust scores, real-time monitoring, and humans in the loop. What you ship is reliable, fair, and defensible.
Enterprise-ready
Trust is what lets specialized intelligence ship.
Specialized intelligence reaches production only when you can prove it is accurate, fair, and compliant. Data-Centric AI Assurance gives you that proof, three ways:
Govern
Governance is embedded in every data product and agent from the moment it’s created.
Observe
Full visibility into data origins, model behavior, and every decision.
Prove
Auditable, human-overseen AI, with automated controls that scale with your workloads.
Key capabilities
From 250+ sources to AI-ready datasets.
Connect to 250+ sources
Data quality and lineage
- Continuous validation. Accuracy is monitored through system checks and your own user-defined data rules, applied within workflows..
- Inconsistencies flagged. Issues surface automatically before they reach a model or a decision.
- End-to-end lineage. A centralized Knowledge Catalog tracks data sources, movement, and usage.
- Real-time data health. The Data Quality Dashboard shows live accuracy, rule adherence, and overall data health
Transparent AI governance
- Every model and dataset tracked. Automatic tracking through training, deployment, and output, with agentic tracing down to traces and spans.
- Trust by default. Trust Scores, source citations, and built-in guardrails on every output, with each decision recorded for audit.
- Enterprise access controls. SSO, MFA, federated identity (SAML / OIDC), RBAC, ABAC, and just-in-time access.
- Protected end to end. Tri-secret encryption, VPC isolation, mTLS, and flexible masking keep sensitive data safe.
Continuous reliability and control
- Tested and monitored in real time. Agents undergo rigorous testing and live monitoring in production.
- Fail-safe with automatic rollback. Immediate recovery when something goes wrong
- Learns from outcomes. Reinforcement learning refines each agent’s control policy, with drift detection catching degradation early.
- Human-in-the-loop. Context-aware oversight routes complex, high-stakes decisions to people. .
Book a working session
See governance on your own AI.
In a 30-minute working session, we’ll trace a model or agent end to end on your stack, so you can see what auditable, governed, production-ready AI looks like for your function.