Built for teams shipping AI agents
See the business tasks your agents run. Catch and fix the ones going wrong in hours.
Reliability Ops for AI agents, dev to production
Lumoz pinpoints where your business tasks fail … automatically.
Finds anomalies & drifts nobody defined.
No evals to set up.
Fix your agents in hours.
Telemetry (input). Fixes and Evals (output).
Traditional tools need evals and datasets before they can tell you anything.
Lumoz starts with the telemetry you already have and works in the opposite direction.
The usual direction
Build datasets→ Write evals→ Sample traffic→ Run tests→ Answers weeks before the first answerThe Lumoz direction
Send telemetry (100% traffic)→ Detect problems→ Find root causes→ Fix code + generate evals hours to the first answerLumoz discovers Business Tasks your agents perform.
Then it monitors them for semantic and other failures.
Detect. Resolve. Optimize.
01 · DETECT
Detect
Built-in signals across quality, safety, RAG, tools, and multi-agent coordination. Plus anomalies and drifts. Every run of every business task.
02 · RESOLVE
Resolve
Related failures collapse into one problem. Root cause, then a fix through your coding agent.
03 · OPTIMIZE
Optimize
Find cost and latency hotspots. Simulate changes on past telemetry before you ship.
Use MCP to automatically close the loop from detection to resolution.
Popular agent frameworks are supported.
Signals built in.
Drifts and Anomalies learned.
- Built-in signals for one agent and multi-agent apps
- Anomalies, drifts, and cohort shifts, learned from your traffic
- Custom signals, written in plain language
Root-cause analyzed.
Fix & evals automated (via MCP).
- Shows root-cause per problem
- Recommends the fix based on telemetry
- Generates evals, in your eval tool of choice
Simulate against history. Compare cost & quality.
- Simulates model swaps on past telemetry
- Uses your API keys with your model providers
- Compares cost & quality against the original runs
