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Latitude

by Latitude Data S.L.

Developer ToolsAI Agents & OrchestrationGovernance & Security

Open-source observability and evaluation for AI agents — find and fix failures before production

Free · Freemium · Subscription · Contact for pricing·Added July 14, 2026·Updated July 14, 2026
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THE DAILY BRIEF
Latitude

by Latitude Data S.L.

Developer ToolsAI Agents & OrchestrationGovernance & Security

Open-source observability and evaluation for AI agents — find and fix failures before production

Free · Freemium · Subscription · Contact for pricing

Latitude is an open-source (MIT) observability and quality platform for AI agents that captures execution traces and turns raw logs into issue-style failure modes with evaluations attached. It helps AI engineering teams discover and fix why agents fail in production before users are affected.

At a Glance

Category
Developer Tools
Pricing
Free, Freemium, Subscription, Contact for pricing
Target Market
Enterprise Developers, AI Engineers, Data Scientists, CTOs

Key Features

  • Semantic trace search
  • Failure-mode clustering
  • Conversation intelligence
  • Automated evaluations
  • Automated issue detection
  • MCP and OpenTelemetry integration

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Production agent debugging
  • Regression prevention
  • Agent quality monitoring

Ideal For

Best For

  • Debugging why AI agents fail in production
  • Building golden datasets and automated evaluations
  • Monitoring multi-turn agent trajectories

Market Analysis

Open-sourceDeveloper-first

Pros

  • Open-source with no lock-in and fast setup
  • Issue-first workflow rather than raw log dumps
  • Full-trace semantic search without sampling

Cons

  • Smaller and younger than incumbent observability vendors
  • Funding and company details not publicly detailed

Pricing

Open Source

$0

  • MIT license
  • Self-hosted
  • 5-minute setup
  • Observability, session search, issue discovery

Starter

$0

  • 20K credits/month
  • 30-day data retention
  • Unlimited seats

Pro

From $99/mo

  • 100K credits/month
  • 90-day retention
  • SOC2 & ISO27001 reports
  • Priority support

Enterprise

Contact for pricing

  • Custom credits and retention
  • On-prem or custom cloud
  • RBAC and SAML SSO
  • Uptime/support SLA

Free MIT open-source self-hosted edition plus a free cloud Starter tier; Pro at $99/month; Enterprise custom with on-prem/self-hosted options and no lock-in contracts.

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Latitude is an open-source (MIT) observability and quality platform for AI agents that captures execution traces and turns raw logs into issue-style failure modes with evaluations attached. It helps AI engineering teams discover and fix why agents fail in production before users are affected.

At a Glance

Category
Developer Tools
Pricing
Free, Freemium, Subscription, Contact for pricing
Target Market
Enterprise Developers, AI Engineers, Data Scientists, CTOs

Key Features

  • Semantic trace search

    Search across 100% of agent traces without sampling to locate failures fast.

  • Failure-mode clustering

    Groups similar failing traces into actionable issues with states and evaluations.

  • Conversation intelligence

    Analyzes completed sessions to surface escalations, tool failures, and trust breaks.

  • Automated evaluations

    Converts real production failures into tests to prevent regressions.

  • Automated issue detection

    Alerts teams via Slack, email, or webhook when new issues emerge in production.

  • MCP and OpenTelemetry integration

    Connects to coding agents via MCP and to telemetry pipelines via OpenTelemetry.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Production agent debugging

    Pinpoint and fix the failure modes behind broken agent behavior before users hit them.

  • Regression prevention

    Turn real failures into automated evaluations and golden datasets that guard future releases.

  • Agent quality monitoring

    Continuously monitor multi-turn agent sessions and get alerted on new issues.

Ideal For

Best For

  • Debugging why AI agents fail in production
  • Building golden datasets and automated evaluations
  • Monitoring multi-turn agent trajectories

Integrations

SDK Available
SDK:PythonTypeScript

Deployment

On-Premise

Market Analysis

Open-sourceDeveloper-first

Pros

  • Open-source with no lock-in and fast setup
  • Issue-first workflow rather than raw log dumps
  • Full-trace semantic search without sampling

Cons

  • Smaller and younger than incumbent observability vendors
  • Funding and company details not publicly detailed

Pricing

Open Source

$0

  • MIT license
  • Self-hosted
  • 5-minute setup
  • Observability, session search, issue discovery

Starter

$0

  • 20K credits/month
  • 30-day data retention
  • Unlimited seats

Pro

From $99/mo

  • 100K credits/month
  • 90-day retention
  • SOC2 & ISO27001 reports
  • Priority support

Enterprise

Contact for pricing

  • Custom credits and retention
  • On-prem or custom cloud
  • RBAC and SAML SSO
  • Uptime/support SLA

Free MIT open-source self-hosted edition plus a free cloud Starter tier; Pro at $99/month; Enterprise custom with on-prem/self-hosted options and no lock-in contracts.

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