Latitude is an agent issue monitoring platform designed to help teams build reliable AI products. It provides a full reliability loop that starts with observability—capturing real inputs, outputs, and context from live traffic—and progresses through human annotations, automatic error analysis, continuous evaluations, and prompt optimization. The platform helps reduce critical production errors by 80%, speeds up prompt iteration by 8x using the GEPA method, and improves accuracy by 25% within the first two weeks.
Key Features
- Observability: Full traces and usage statistics to understand AI behavior in production.
- Human Feedback: Annotate responses with real human judgment to turn intent into actionable signals.
- Failure Discovery: Automatically group failures into recurring issues and detect common failure modes.
- Evals: Convert real failure modes into continuous evaluations that catch regressions before they reach users.
- Prompt Manager + Optimizer: Test prompt variations against real evals and optimize using GEPA to reduce failures over time.
- A/B Testing: Compare different versions of prompts and models.
Who It's For
Latitude is trusted by teams building AI products at scale, including AI product teams, machine learning engineers, and prompt engineers.
Integrations
Latitude works with Vercel AI SDK, LangChain, OpenAI SDK, and most common model providers including OpenAI, Anthropic, Azure, Google AI Platform, Amazon Bedrock, Cohere, Together AI, Vertex AI, Gemini, Groq, Mistral AI, Ollama, LiteLLM, Replicate, AWS SageMaker, Hugging Face Transformers, Aleph Alpha, and IBM watsonx.ai.
Key Benefits
- Reduces critical production errors by 80%
- Speeds up prompt iteration by 8x using GEPA
- Improves accuracy by 25% in the first two weeks
- Integrates with major AI SDKs and providers