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Klu

LLM application development platform

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What Klu is

Klu is a platform for the whole life of a language model application: designing prompts, deploying them, connecting data, evaluating what works and fine-tuning when a base model is not enough, aimed at teams moving from experiments into something monitored.

What you can do with it

  • Design prompts collaboratively
  • Deploy applications from the same place
  • Connect your own data sources
  • Compare prompt and model versions
  • Fine-tune a model when needed

Who it is for

  • AI product teams and developers
  • Machine learning teams
  • Internal automation projects

What to watch out for

  • Evaluation is only useful with real test sets and agreed acceptance criteria
  • Fine-tuning on production data can bake in bias or leak sensitive examples, so review training sets
  • Data integration means your application data flows through the platform, with the privacy questions that brings
  • One-click fine-tuning still requires evaluation before release

Pros & cons

✓ What we like

  • Covers prompt through deployment
  • Collaboration features for teams
  • Fine-tuning within the same platform

! What to watch out for

  • Evaluation needs your own test sets
  • Fine-tuning carries data review duties
  • Data integration raises privacy questions

FAQ

How should I evaluate it?

Take one real workflow, build a test set and scoring rules, then compare prompt or model versions.

Can I fine-tune here?

Fine-tuning capabilities are described, though evaluation should follow before release.

Who is it for?

AI product teams, developers, machine learning teams and internal automation projects.

Last reviewed: 2026-09-19

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