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Introduction to Teckel AI

In the rapidly evolving landscape of artificial intelligence, ensuring the quality and reliability of AI-powered chatbots is paramount, especially when they are trained on your proprietary data. Teckel AI is an enterprise-grade AI quality control platform designed specifically for your internally trained Retrieval-Augmented Generation (RAG) systems.

Our platform provides automatic, real-time monitoring of your Large Language Model (LLM) responses, featuring a sophisticated, built-in auditing system leveraging our proprietary LLM-as-a-judge model. This is done to enable powerful human-in-the-loop oversight capabilities, giving you unprecedented control over your AI's performance.

Why Teckel AI?​

The core challenge with AI systems is their output is only as good as the information they are trained on, commonly referred to as garbage in, garbage out. Inaccuracies, omissions, or outdated information in your knowledge base can lead to incorrect or misleading responses, eroding user trust and potentially creating business risks.

Teckel AI addresses this issue head-on. Our mission is to give you complete confidence in your AI systems by targeting the source of its knowledge. We don't just flag bad answers; we help you fix the root cause by identifying information gaps and possible issues in your documentation and data sources. With Teckel AI, your company’s subject matter experts (SMEs) are empowered to take control of AI quality by monitoring responses, quickly locating where the AI lacks reliable information, so they can improve the AI’s source of truth.

Who Is This For?​

Teckel AI is designed for any organization that deploys LLM chatbots, RAG models, and AI assistants trained on public or private information, including but not limited to:

  • Enterprises with internal knowledge base chatbots for HR, IT, or other departments.
  • Customer Support teams using AI to power FAQ bots.
  • Product and Data Teams looking to collect robust user feedback from deployed AI models.
  • Teams Using External-Facing Chatbots for search, eCommerce and other functions

Key Features at a Glance​

Teckel AI is a comprehensive solution for monitoring and improving the quality of AI responses in enterprise settings.

  • Real-Time LLM Auditing: Every answer from your AI chatbot is immediately evaluated across three core quality dimensions plus document freshness: faithfulness, context precision, response relevancy, and document currency. We analyze individual factual claims and their supporting evidence to provide comprehensive quality assessment.
  • Source Data Management: We monitor document quality based on an aggregate of referenced responses to identify problematic source material. Teckel will flag the document if it is providing poor quality output and notify your internal experts for review.
  • Powerful Analytics and Knowledge Gap Identification: Our platform aggregates semantic data to give you a high-level view of your AI's performance, letting you identify which topics users are interested in, to identify query trends, and also see where your documentation might be lacking.
  • Proprietary Judging Algorithm: Our specialized "Teckel Judge" performs comprehensive response analysis through claims-based evaluation, breaking down each AI response into individual factual statements and mapping them to supporting source evidence.
  • Human-in-the-Loop Workflows: We empower your domain experts to easily manage and improve your AI's output quality by identifying high-priority source data issues and providing feedback to fix the source, not just updating a prompt.
  • Seamless, Vendor-Agnostic Integration: Teckel AI is designed to easily fit on top of your existing AI infrastructure. You can use any LLM provider (OpenAI, Anthropic, etc.), any vector database, any RAG model integration, all with no vendor lock-in.
  • Enterprise-Grade Security and Privacy: Your data is completely isolated in a robust multi-tenant architecture with strict data security policies.