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HARBAN AI LABS

For Startups

From prototype to a product you can measure

For small teams that need to prove an AI feature works on real data, then ship it with evaluation and observability in place.

Problems

Problems we focus on

  1. Demos that don't survive real data

    A prototype that works on hand-picked examples fails on the long tail.

  2. Unmeasured quality

    Without an evaluation suite, every prompt or model change is a gamble.

  3. Agents that are hard to debug

    Agentic designs add failure modes; many problems are better solved with simpler workflows.

Services

Relevant services

The service lines that address these problems. All of them are currently planned: we are designing them and are not yet taking engagements.
All services
  • Time-boxed builds that answer one question — is this feasible, and how well does it work on your data?

  • Production LLM features and applications — from API integration and prompt design to structured outputs, testing and deployment.

  • Design and build of tool-using agents with explicit control flow, scoped permissions, evaluation and observability from day one.

  • Retrieval-augmented systems over your documents and data, measured on retrieval quality and answer faithfulness — not demos.

Evidence

Evidence you can check

We have no client case studies yet. These are pages on this site that show how we work — judge us on them.

Solutions

Other audiences

Model registry/models
Benchmarks/benchmarks
Paper breakdowns/research
AI tools directory/tools
Work with us/work-with-us