Enterprise
OmegaEngine for regulated and high-stakes AI.
OmegaEngine is a judgment layer for AI agents: a safety, compliance, and audit infrastructure that sits between your models and the real world. It's built for financial services, healthcare, government, and critical operations, with 5,023 computed red-team vectors and 17 active compliance frameworks.
Guardrails with receipts
Every decision is scored, logged, and explainable—with policy versions and risk metadata attached.
Drop-in architecture
Integrates as a single API call from your existing agents, orchestrators, or workflows. No model rewrites.
Regulator-aware design
Built with EU AI Act, CPRA, and GDPR in mind from day one, with docs tailored for audits and RFPs.
Enterprise capabilities
Technical
- Dedicated environments and VPC/VNet peering (cloud-provider dependent).
- Configurable policies by org, product, or business unit.
- Per-key scopes and per-org rate limiting.
- Structured risk scores and decisions that your agents can rely on.
- Health/ready endpoints, audit logs, and observability hooks.
Security & Compliance
- Encryption in transit and at rest.
- RBAC, admin IP allowlists, and org-level access controls.
- Detailed compliance docs for EU AI Act, CPRA, and GDPR.
- Configurable data retention and deletion workflows.
- Support for security reviews, DPAs, and vendor assessments.
Operational
- SLA-backed uptime and response-time guarantees (Enterprise tier).
- Priority incident response and direct engineering contact.
- Custom onboarding and architecture reviews with your team.
- Support for multiple regions and data residency roadmaps.
Business
- Custom pricing based on volume and workloads.
- Enterprise invoicing, PO support, and annual contracts.
- Proof-of-concept phases with defined success metrics.
- Joint roadmap planning for high-risk or bespoke use-cases.
Where OmegaEngine fits
OmegaEngine doesn't replace your models or orchestrators. Instead, it wraps them with a decision, safety, and logging layer:
- Agents call OmegaEngine before executing high-impact actions.
- OmegaEngine returns an ALLOW / BLOCK / REVIEW decision with a risk score.
- Your workflows use the decision to proceed, escalate to a human, or refuse.
- Every call is logged with a policy version and time-stamped for audit.
Evaluation checklist
Teams evaluating OmegaEngine typically ask:
- Can we map OmegaEngine to our AI risk and compliance framework?
- Can we integrate it into our existing agents in under a week?
- Does it give our legal, compliance, and security teams confidence?
- Does it make our AI stack more explainable to regulators and customers?
The answer we aim for is always: yes.