Simulate
Graph-based personas with DTMF, noise, and branching intents. Thousands of concurrent laps.
Product
A test oval for agents.
Ovalen treats voice and chat agents the way a proving ground treats a vehicle. Coverage is a count of personas and policies, and a release is a measured lap with a printed readiness packet.
Observe
Production evals on live calls. Latency, interruption, goal, safety, all on one board.
Review
Route the gray calls to a person. Their labels become the next scorer.
Loop
A miss in June becomes a fixture in the suite. Releases inherit the street.
AI on the oval
Scoring, not acting
Named AI surfaces. Ovalen evaluates agents; it does not ship one.
Simulation
Staged callers
Thousands of personas with accents, policy traps, and tool failures against voice and chat agents.
Evals
Goal and policy
Score completion and safety together. CI blocks a release when a persona that passed last Tuesday now misses.
Models
Claude, GPT-4o, Gemini 2.5, Llama 3 70B
Access via Bedrock, Anthropic, OpenAI Direct, and Groq. Frameworks under test: homebrew and LangGraph.
Teams
Who it is for
Builders
Ship the runtime with the platform team you already have. The API is the product.
Operators
Dashboards, versions, and spend sit next to the same objects your engineers debug.
Security
SSO, audit logs, and regional storage. Ujjwal Kumar Singh signs the DPA.