The AI layer fragments quickly.
Apps, agents, models, providers, API keys, requests and costs create distributed information. Without a common layer, investigating usage and errors requires rebuilding data across multiple tools.
Clyvel demonstrates SaaS architecture, gateway, organization isolation, providers, telemetry, costs, incidents and governance inside an operational product.
Apps, agents, models, providers, API keys, requests and costs create distributed information. Without a common layer, investigating usage and errors requires rebuilding data across multiple tools.
An OpenAI-compatible entry point adds organization identity, routing, provider connections and telemetry without asking every application to implement observability separately.
The platform turns technical events into operational surfaces: Overview, Requests, Analytics, Costs, Providers, Agents and Incidents.
Budgets, reports and an evidence-based read-only Copilot add analysis and control while keeping explicit limits.
OpenAI-compatible entry point with org context.
Connections and credentials per organization.
Requests, tokens, latency and status.
Consumption and analytics by operational layer.
Technical issues with traceability.
Budgets, reports and read-only Copilot.
Real product, safe demo. The case study describes product capabilities and architecture. The Plan0101 demo uses fictional data to avoid exposing operational information.
Walk through the main surfaces using sample data or visit the published product.
Requests, success, errors, tokens, costs, latency, agents, providers and incidents live inside the same workspace.
12.4k requests
now3 providers connected
recent1 incident under review
trackedThe product is real. This demo uses fictional data so you can explore it without an account.
We can design another platform around your workflows, users and integrations.