Govern AI systems
at production scale.
Enforce runtime policy, trace every decision through causal lineage, and produce verifiable compliance evidence — all from a single API.
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Trusted by Platform, Security, Compliance & AI Engineering Teams
Compliance & GRC
Generate audit-ready proofs automatically
AI/ML Engineering
Enforce model policies at runtime
Platform Engineering
Embed governance into infrastructure
Security & InfoSec
Complete audit trails for every AI decision
Legal & Privacy
Regulatory evidence without manual work
Engineering Leadership
Real-time visibility into AI risk posture
Compliance & GRC
Generate audit-ready proofs automatically
AI/ML Engineering
Enforce model policies at runtime
Platform Engineering
Embed governance into infrastructure
Security & InfoSec
Complete audit trails for every AI decision
Legal & Privacy
Regulatory evidence without manual work
Engineering Leadership
Real-time visibility into AI risk posture
Compliance & GRC
Generate audit-ready proofs automatically
AI/ML Engineering
Enforce model policies at runtime
Platform Engineering
Embed governance into infrastructure
Security & InfoSec
Complete audit trails for every AI decision
Legal & Privacy
Regulatory evidence without manual work
Engineering Leadership
Real-time visibility into AI risk posture
Three paths into governance.
One unified control plane.
Choose your integration surface based on execution boundary. Evolve from API wrappers to full in-process governance without rewriting controls.
Platform API
Typed /api/v1 wrappers
Route-backed governance for events, risk, proofs, replay, exports, and billing operations.
Runtime SDK
In-process governance runtime
Embed policy gates, PII scans, governed generation, and compliance operations directly in app execution.
Code Assistant + MCP
Code generation assistant integration
Use skills and MCP-driven automations to insert governance code in development workflows.
Govern. Operate. Prove.
Every pillar of AI compliance.
Arelis unifies runtime governance, control-plane inventory, and compliance evidence into one cohesive execution model.
Govern
Runtime control before execution
Operate
Control plane for systems and infrastructure
Prove
Evidence chain for auditors and responders
Enforce. Trace. Verify.
Every decision, fully accountable.
Runtime decisions connect to policy history, causal lineage, and proof verification workflows that teams can audit and replay.
Policy enforcement before every AI call
Define rules for your organization — which models are allowed, where data can flow, what agents can do, and how much budget they can consume. Arelis evaluates these policies at runtime before every model invocation, tool call, or agent action.
Policies are versioned and support complex condition trees — combine rules with AND/OR logic across any field. Decisions are deterministic: allow, deny, warn, or escalate.
Only approved models can be invoked. Block unauthorized model access across all services and agents.
Enforce regional constraints on where AI requests are processed. Deny calls routed outside approved regions.
Set per-agent or per-service token limits. Warn or block when usage approaches or exceeds thresholds.
Control which tools agents can invoke. Restrict sensitive operations to authorized workflows only.
From quickstart to production
governance in six steps.
A predictable, composable sequence from first event to full operational coverage. No dead ends, no rewrites.
Create account and key
Start free with no plan selection and no credit card requirement.
Integrate API or runtime SDK
Choose HTTP wrappers or in-process runtime governance by service boundary.
Register systems and MCP
Model real runtime inventory and attach tool infrastructure to governed systems.
Enforce runtime policy
Apply policy gates, PII checks, and risk routing before sensitive actions execute.
Generate evidence
Build causal lineage, generate proofs, and replay runs for drift verification.
Scale operations
Run usage-based governance with overage, retention, and enterprise pathways.
Let coding assistants
ship governance instrumentation.
Skills and MCP tooling automate governance embedding in development workflows while keeping runtime controls and evidence coverage intact.
Detect model and MCP callsites in codebases.
Insert governance wrappers and run ID propagation patterns.
Register AI systems and MCP servers for traceable operations.
Open PRs with governance coverage summaries and evidence links.
Free to start.
Usage-based at scale.
No feature gates on core governance. Teams start free, then scale on usage and retention requirements only.
Free Allocation
Overage Rates
Data Retention
Flexible data retention periods to match your compliance requirements.
Operate AI governance as first-class infrastructure.
Start free, instrument runtime controls, and deliver verifiable evidence across systems, tools, and policy decisions.