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Latitude

by Latitude

Collaborative LLM prompt management platform with versioning, evaluation, and AI-assisted improvement — enabling APAC AI product teams to govern production prompts, run automated evaluations, and collaborate between engineers and domain experts without enterprise LLMOps pricing.

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AIMenta verdict
Decent fit
4/5

"LLM prompt collaboration workspace — APAC AI teams use Latitude to version, test, and deploy prompts with built-in evaluation, AI-assisted improvement, and SDK integration for production prompt governance."

Features
6
Use cases
1
Watch outs
3
What it does

Key features

  • Version control: APAC prompt history with side-by-side comparison and promotion
  • AI improvement: APAC automated prompt optimization suggestions and edge case generation
  • Evaluation: APAC automated quality testing against datasets before production
  • SDK: APAC Python/TypeScript production prompt fetch with A/B routing
  • Collaboration: APAC engineer and domain expert shared prompt workspace
  • Freemium: APAC self-serve access without enterprise contract requirement
When to reach for it

Best for

  • APAC AI product teams that need collaborative prompt management with evaluation capabilities but find enterprise LLMOps platforms over-engineered or over-priced — particularly APAC teams where non-engineers need to iterate on prompts and where automated evaluation is more important than deep tracing and human feedback collection.
Don't get burned

Limitations to know

  • ! Smaller APAC community than Langfuse or Humanloop — fewer integrations
  • ! Human evaluation and feedback features less mature than Humanloop
  • ! APAC data sovereignty: cloud-hosted with self-host option in early access
Context

About Latitude

Latitude is a collaborative prompt management platform for APAC AI teams — providing prompt versioning, live evaluation, AI-assisted optimization, and production SDK integration in a workspace where engineers and domain experts can collaborate on prompt quality without needing separate enterprise LLMOps tools. APAC AI product teams that find Humanloop's pricing prohibitive or Langfuse's focus on tracing insufficient for their prompt governance needs use Latitude as a middle ground.

Latitude's prompt editor supports prompt templates with variable interpolation and version history — APAC teams write prompt templates with typed parameters, test them against example inputs in the playground, compare output quality across prompt versions side-by-side, and promote specific versions to production. Domain experts on APAC teams (compliance officers, content specialists) can iterate on prompt language in Latitude's UI without requiring code changes.

Latitude's built-in evaluation framework runs automated quality checks against APAC test datasets — teams define expected outputs or quality criteria, run prompt versions against the dataset, and receive quality scores that surface regressions before production deployment. APAC AI engineering teams use evaluation as a prompt regression gate, preventing quality degradations from shipping when prompts are updated.

Latitude's AI assistant helps APAC teams improve prompts — suggesting alternative phrasings, identifying ambiguities, and generating test cases for edge conditions. For APAC teams without dedicated prompt engineering resources, Latitude's AI suggestions accelerate prompt quality improvement beyond what manual iteration produces.

Beyond this tool

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