Track what topics users are asking about. Manage what unique company info your AI has and needs. Workshop suggested documents to answer more user questions. See agent response quality on Slack.
Track what your AI knows and close information gaps automatically
We review your user queries and AI responses from chat, email, and automated support systems.
Trace-level analysis reveals incomplete responses, hallucinations, and context retrieval issues.
Questions cluster into defined topics with referenced sources so you can track what matters to you.
See which topics consistently fail, and get specific feedback on what your agents need to know.
See measurable improvements in answer quality as knowledge gaps close, and get notified with Slack.
Get real time response quality analytics like this today
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Ask our chatbot a question and watch our proprietary Judge model score the response in real-time. All queries get analyzed like this, supporting complex topic level analysis to find knowledge gaps in your system.
For enterprises demanding reliable AI responses
Real world impact for enterprise teams
When your AI gives accurate answers, customers solve problems themselves. Track which docs drive successful self-service.
Find problematic topic areas
Improve first-contact resolution
Fix gaps before customers complain
Stop wasting developer hours debugging AI responses. Know exactly which documents need updates and who should fix them.
Know exactly what needs updating
Route fixes to the right team
Track quality improvements
Ensure your AI provides accurate, auditable responses for regulated industries. Get alerts when documentation gaps could lead to hallucinations.
Catch issues before impact
Track every response and source
Meet regulatory requirements
The only service actually fixing your knowledge base
Customer support or internal knowledge search
Semantic search through your documentation
RAG pipeline finds relevant documents
Monitor prompts, evals, and model performance
Enhance AI memory and answer more questions
LLM observability tools tell you your model is working fine. But your AI still gives wrong and incomplete answers because your AI doesn't know what it doesn't know.
What happens when thousands of people are asking questions about a topic and your AI can't help. We show you where this is happening and fix the root of the problem.
Perfect retrieval + perfect prompts + bad documents = bad answers. We show exactly which documents are failing, why they're causing problems, and what to fix first.
While others optimize how AI finds information, we ensure the information is worth finding.
GET STARTEDOur easy to install SDK captures query patterns and document usage, giving you data to continuously improve your AI tools
Easy SDK installation, JavaScript or Python (coming soon)
Works with AI SDK, LangChain, LlamaIndex, any custom RAG solutions
Works seamlessly on top of your current agentic chat system
If Teckel AI is down, your app continues normally
Super lightweight SDK with only one external dependency- Zod
256-bit API keys with rate limiting, all data encrypted at rest and in transit