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Clyvel

© 2026 Clyvel

Operate

AI GatewayRoute and control every model request.ObservabilitySee every request, token, error and latency signal.ReliabilityIncidents, provider health, latency and failures.

Analyze

Costs & FinOpsUnderstand spend, budgets and cost allocation.OptimizationFind measurable savings across models and routing.

Control

GovernancePolicies, roles, approvals and audit controls.Clyvel AIAsk what changed, why it happened and what to do next.

One platform for production AI operations.

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EngineeringDebug production AI traffic from one operational layer.Platform teamsStandardize routing, providers and reliability controls.FinOps & FinanceControl AI spend, budgets and optimization outcomes.Security & GovernanceApply access, policy and audit controls at scale.
Pricing
Clyvel Enterprise

Enterprise AI Operations Platform

Control, optimize and govern production AI across your organization.

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ENTERPRISE CONTROL PLANE

Organization overview

Healthy

Workspaces

Organize

Members

Collaborate

Policies

Govern

Spend

Measure

Identity & access

Role controls

Financial control

Budgets & limits

Governance

Policies & approvals

Audit

Operational history

ENTERPRISE CONTROL

The operating model changes when AI becomes business-critical.

Large organizations need more than usage charts. They need ownership, financial accountability, approvals, auditability and consistent controls across teams and environments.

Role-based access

Scope sensitive operational actions by organization, workspace, environment and responsibility.

Budgets & limits

Bring financial controls into the operating layer instead of waiting for the provider invoice.

Approval workflows

Require review before sensitive routing, policy or optimization changes reach production.

Audit history

Preserve who changed what, when it happened and which operational surface was affected.

Credential control

Centralize provider access and reduce the number of long-lived credentials distributed through applications.

Organization control

Operate multiple teams, environments and workloads from a consistent enterprise layer.

FINANCIAL CONTROL

AI spend needs ownership before it needs another invoice.

Allocate provider spend to the workloads and teams that create it, monitor budgets and connect financial pressure to real production behavior.

Provider spend remains separate

Cost allocation by workload and team

Budget utilization and alerts

Optimization linked to real traffic

Organization financial control

Current billing period

Within budget

Current spend

Track usage

Projected

Plan ahead

Budget

Set limits

Optimization

Review evidence

Budget controlsConfigure in workspace

CUSTOM AT SCALE

Enterprise pricing is built around the operating requirement.

Enterprise is not a public fixed-price tier because usage, security, deployment and support requirements vary materially between organizations.

Custom request volume
Custom Copilot capacity
Security review requirements
Deployment and networking requirements
Support and response expectations
Contractual and procurement requirements

ONE CONTROL PLANE

Give every team the same operational truth.

Engineering, platform, finance and governance teams should not need separate versions of what is happening in production AI.

Platform & Engineering

Gateway traffic, provider health, requests, latency and incidents.

Finance & FinOps

Cost attribution, budgets, spend movement and optimization opportunities.

Security & Governance

Policies, roles, approvals, sensitive changes and audit history.

Operational leadership

One executive view of spend, reliability and the issues that need attention.

Build the enterprise operating layer before AI complexity becomes risk.

Tell us how your teams, providers and workloads operate. Enterprise terms can be shaped around the controls and scale you actually need.

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EXPLORE CLYVEL

Go from product evaluation to implementation detail.

AI OPERATIONS PLATFORM

One control plane for production AI

See how Gateway, observability, FinOps, reliability, governance, evaluations and optimization work as one operating layer.

FREE COST CALCULATOR

Estimate LLM spend from real workload assumptions

Model cost per request, monthly token spend, annual AI cost and retry overhead with editable provider rates.

EVALUATION CHECKLIST

36 questions before choosing an AI gateway

A practical buyer resource across compatibility, routing, observability, FinOps, reliability and governance.

INTEGRATIONS

Connect your existing AI stack

OpenAI SDK, n8n, Make, LangChain, LangGraph and CrewAI integration guides.

COMPARISONS & ALTERNATIVES

Compare AI gateways and operations platforms

Buyer research on LiteLLM, Portkey, Langfuse, Helicone and Clyvel across gateway, observability, FinOps and production operations.

AI GATEWAY RESEARCH

Architecture, routing and compatibility

Deep guides for production AI gateway design, routing, failover and provider abstraction.

LLM OBSERVABILITY

Tracing, latency and production evidence

Learn how to monitor requests, traces, tokens, providers and tail latency in production.

AI FINOPS

Cost, budgets and unit economics

Request-level AI cost monitoring, workload attribution, budgets and optimization guidance.

PRICING

Compare Clyvel plans

See tracked request allowances, operational capabilities, retention and plan limits.

ENTERPRISE

Organization-wide AI operations

Explore governance, financial control, access and operating requirements at enterprise scale.