Track quality, detect issues, fix gaps automatically
Track accuracy, hallucination rates, response quality, and more across your entire fleet of AI agents at a glance.
Automatically group similar failures into patterns and create action items to share with your team. Determine frequency, impact, and fix issues systematically.
Track trending areas of interest with custom-trained models that run cheaply at scale. Understand what users ask about most and see they interact with your agents over time.
Chunk-level evaluations across your entire knowledge base. See exactly where your agent sources its answers and detect knowledge gaps before users do.
Discuss anything about your AI system behavior. Secure access to review traces, patterns, tool calls, and more- everything you can find in the dashboard, accessible through conversation (in platform or CLI).
See how Teckel AI identifies topics and tracks patterns
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Automatically group user questions into meaningful topics. Understand what your users are asking about and detect trends.
Run custom evaluators on traces of your choosing and production flows. First-class support for RAG content quality scoring.
Combine evaluators and topics to surface actionable patterns. Review and track recurring issues so you know exactly what to fix.
Filter production logs and get LLM-powered feedback in our system or your terminal. Debug issues without leaving your IDE.
Measurable impact on your bottom line
Accurate AI answers mean fewer tickets. Fix your agents inefficiencies.
Better self-service resolution
Fix issues before users complain
No more wasted LLM calls
Stop debugging 10k traces alone. We surface the issues and tell you what to fix.
Fix the real issues
Know what docs and tools to update
Track improvements over time
Auditable AI responses. Know exactly what your agents said and why.
Every response traced to source
Catch unsupported claims
Ground truth for stakeholders
Know exactly what's broken and why
While others optimize how AI finds information, we ensure the information is worth finding.
Easy to use SDK lets you know what your agents are up to
Easy Typescript SDK implementation with OTel support, Python coming soon
Built from the group up for supporting external knowledge retrieval
Works with all other agent SDKs as well as custom RAG solutions
If Teckel AI is down, your app continues normally
Minimal footprint, designed for production workloads
256-bit API keys with rate limiting, all data encrypted at rest and in transit