The complete LLM control plane for scaling AI products

LLM Observability Platform for Production AI

LLM Observability Platform for Production AI

Trace real AI behavior in production, then automatically surface issues, run evals, and improve without regressions.

80%

Fewer critical errors reaching production

8x

Faster prompt iteration using GEPA (Agrawal et al., 2025)

25%

Accuracy increase in the first 2 weeks

Enter the reliability loop

A proven method to understand, evaluate, and fix your AI products

  1. Observability

Capture real inputs, outputs, and context from live traffic to understand what your system is actually doing

  1. Annotations

Annotate responses with real human judgment. Turn intent into a signal the system can learn from.

  1. Issue discovery

Automatically group failures into surface recurring issues, see breaks down points across users and use cases.

  1. Optimize via GEPA

Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.

  1. Automatic evals

Convert real failure modes into evals that run continuously & catch regressions before they reach users.

Enter the reliability loop

A proven method to understand, evaluate, and fix your AI products

1. Observability

Capture real inputs, outputs, and context from live traffic to understand what your system is actually doing

2. Annotations

Annotate responses with real human judgment. Turn intent into a signal the system can learn from.

3. Error analysis

Automatically group failures into recurring issues, detect common failure modes and keep an eye on escalating issues.

4. Automatic evals

Convert real failure modes into evals that run continuously & catch regressions before they reach users.

5. Optimize using GEPA

Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.

Get started now

Start with visibility.
Grow into reliability.

Start the reliability loop with lightweight instrumentation. Go deeper when you’re ready.

import { LatitudeTelemetry } from '@latitude-data/telemetry'

const telemetry = new LatitudeTelemetry(LATITUDE_API_KEY)

await telemetry.capture({
    prompt: 'my-prompt',
    projectId: LATITUDE_PROJECT_ID
  }, async () => {

    // Your existing code

  }
)

Instrument once

Add OTEL-compatible telemetry to your existing LLM calls to capture prompts, inputs, outputs, and context.

This gets the loop running and gives you visibility from day one

Learn from production

Review traces, add feedback, and uncover failure patterns as your system runs.

Steps 1–4 of the loop work out of the box

Go further when it matters

Use Latitude as the source of truth for your prompts to enable automatic optimization and close the loop.

The full reliability loop, when you’re ready

Get started for free

Build AI
you can trust

Build AI
you can trust

Make reliability a default property of your AI systems, no matter the provider.