Signals-driven Development
Production signals drive what teams fix, optimize, and build next.
Agentic Production Ops
for AI Apps
Detect User Issues & Silent Failures
Ship & Improve AI Assistants, Copilots & Agents
1
Detect Agent
Act on user sentiment. Identify silent failures.
2
Triage Agent
Focus on the highest-impact issues.
3
Resolve Agent
Do RCA. Simulate fixes to verify. Apply the fix.
4
Optimize Agent
Balance quality, cost, and latency.
Powered by Counterfactual Engine with Purpose-built Models
No-code Production Command Center
Lumoz unifies raw telemetry from logs, user feedback, Git, and other sources — so teams can productize with confidence.
Operational Clarity
Teams need to know what matters now, why and what to do next.
Closed-loop Operations
From passive dashboards to end-to-end actions.
Team of Agents
Detect Agent
- Classify user issues (frustration, refusals, toxicity)
- Detect failures (tool errors, retries, loops)
- Run custom detectors (app-specific classifiers)
Catch issues before users complain.
Triage Agent
- Cluster issues (top intents / tools / versions)
- Prioritize by impact
- Route to an owner (Slack/Jira)
Cut through the noise.
Resolve Agent
- Trace causality and rank likely root causes
- Generate remediation hypotheses
- Verify fixes via simulation on failing slices
- Implement fix via coding agent
Cut debugging time. Verify the fix before release.
Optimize Agent
- Identify cost drivers and latency bottlenecks
- Simulate model swaps and config changes
- Estimate tradeoffs under different scenarios
- Update code & config via coding agent
Stop guesswork. Optimize & verify before release.
Get Early Access
Join the waitlist for a guided rollout and design partner program.