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.
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.