Quality Assurance Labs

Solution

AI Integration

Add LLM features to your product safely, with evaluation and guardrails from day one.

The problem

  • 01

    Unsure which AI features are worth building

  • 02

    LLM outputs are unpredictable in production

  • 03

    No way to measure if the AI is getting better or worse

How QALabs solves it

  1. Step 1

    Discover use cases

    We identify AI features with clear value and measurable success criteria.

  2. Step 2

    Build and integrate

    Prompt design, retrieval, and API integration into your existing product.

  3. Step 3

    Evaluate before launch

    Eval test sets measure accuracy, safety, and edge cases before release.

  4. Step 4

    Monitor in production

    Ongoing evaluation catches drift and regressions after launch.

Tools we use

  • OpenAI
  • Anthropic
  • LangChain
  • Pinecone
  • Promptfoo

Proof

Case study coming soon
Industries we test for:AI & ML ProductsSaaS