Latitude
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About
Latitude serves as a comprehensive LLM control plane designed to bring stability and predictability to AI-driven products. It moves beyond simple logging by providing a structured reliability loop that integrates observability, human feedback, and automated performance testing. By capturing real-world traffic data, including inputs, outputs, and context, developers can stop guessing how their systems perform and start using empirical signals to guide their development. The platform is designed to identify where AI systems fail and provide the specific tools needed to fix those failure modes. The system utilizes a specialized prompt optimization method known as GEPA to achieve up to 8x faster prompt iteration. It allows teams to create manual annotations from human judgment, which are then converted into automatic evaluations that run continuously. These evals are crucial for catching regressions before they reach end-users. Additionally, Latitude supports a range of advanced engineering tasks including A/B testing, dataset generation, and model distillation, the latter of which can reduce costs and latency by up to 10x for high-scale applications. Latitude is primarily built for AI engineers, product managers, and developers who are scaling Large Language Model applications and need more than just basic monitoring. It supports an extensive array of model providers, including OpenAI, Anthropic, Azure, and Google Gemini, as well as open-source models via Ollama or Hugging Face. The tool is designed to scale with a team's needs, offering everything from lightweight telemetry for startups to deep infrastructure and dedicated support for enterprise-level volume. What differentiates Latitude from standard monitoring tools is its focus on the full improvement lifecycle rather than just visibility. By converting recurring failure modes directly into continuous evaluations, the platform bridges the gap between identifying an issue and implementing a fix. This integrated approach has been shown to increase system accuracy by 25% within the first two weeks of implementation. Furthermore, Latitude offers an open-source self-hosted version, giving teams full control over their infrastructure when privacy or data residency is a priority.
Pros & Cons
Reduces critical production errors by up to 80% through proactive monitoring.
Accelerates prompt development with 8x faster iteration using the GEPA method.
Supports over 15 model providers including OpenAI, Anthropic, and Mistral.
Offers a self-hosted open-source version for complete infrastructure control.
Provides a 30-day free trial for the Team plan without requiring a credit card.
The Team plan is restricted to only 5 prompt optimizations per month.
Log retention is limited to 90 days on the standard Team tier.
Model distillation and unlimited log retention are locked behind the $899/month Scale plan.
Use Cases
AI Engineers can utilize GEPA-powered optimization to significantly reduce the manual trial-and-error time required for prompt engineering.
Product Managers can review production traces and add human feedback annotations to align AI behavior with business intent.
Software Developers can use the OTEL-compatible telemetry to instrument existing LLM calls and gain instant visibility into production traffic.
Scaling Startups can implement model distillation to reduce their inference costs and latency by up to 10x as they grow.
Enterprise Teams can deploy the control plane within their own infrastructure to maintain strict data privacy while managing high-volume AI traffic.
Platform
Task
Features
• model distillation
• human feedback annotations
• dataset generation
• failure mode discovery
• a/b testing & simulation
• automatic evaluation alignment
• gepa prompt optimization
• full otel-compatible telemetry
FAQs
What is Latitude?
Latitude is an LLM control plane that helps teams build and scale reliable AI products. It provides a full set of tools for observability, prompt optimization, human feedback, and automated evaluations.
How does Latitude identify AI failures in production?
The platform uses observability features to capture real inputs and outputs from live traffic. It then automatically groups these failures into recurring patterns and common failure modes for analysis.
What happens if I exceed my usage limits?
If you exceed the trace limits on your plan, you can purchase extra traces at a rate of $10 per 100,000 traces. This allows your production monitoring to continue without interruption.
Does Latitude work with my existing tech stack?
Yes, it integrates with major providers like OpenAI, Anthropic, and Google Vertex AI. It also supports common frameworks like the Vercel AI SDK, LangChain, and LiteLLM.
Can I host Latitude on my own infrastructure?
Yes, Latitude offers an open-source version that can be self-hosted. This provides full control over your data and is available via their GitHub repository.
Pricing Plans
Team
USD299.00 / per month• 5 prompt optimizations/month
• 90-day log retention
• 200K traces/month
• Prompt playground
• Evaluations
• Annotations
• Issue discovery
• Dataset generator
Scale
USD899.00 / per month• Unlimited prompt optimizations
• Unlimited log retention
• 1 million traces/month
• Model distillation
• Role permissions
• Dedicated onboarding
• Priority support
• SOC2 & ISO27001 reports
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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