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Arivonix

Data Centric AI Assurance

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. 

YOUR GOVERNED ENVIRONMENT End-to-endlineage Trust scores& citations Observability& drift Built-inguardrails Human inthe loop Access &encryption DATA-CENTRIC AI Assurance BUILT IN DATA QUALITY DASHBOARD real-time health

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:

Shield with a checkmark beside a chart and database representing governance

Govern

Governance is embedded in every data product and agent from the moment it’s created.

Dashboard with a magnifying glass over a chart representing observability

Observe

Full visibility into data origins, model behavior, and every decision.

Certificate rosette with a checklist and chart representing proof of compliance

Prove

Auditable, human-overseen AI, with automated controls that scale with your workloads.

What comes out is trusted, AI-ready data that Arivonix can specialize models and agents on, aligned to how your function actually works.

Key capabilities

Arivonix AI - Knowledge Catalog

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.
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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 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.