The complete LLM control plane for scaling AI products
A clear path to reliable AI
A clear path to reliable AI
A clear path to reliable AI
A clear path to reliable AI
Production failures become clear signals. Signals become fixes.
80%
80%
Fewer critical errors reaching production
Fewer critical errors reaching production
8x
8x
Faster prompt iteration using GEPA (Agrawal et al., 2025)
25%
25%
Accuracy increase in the first 2 weeks
Accuracy increase in the first 2 weeks
AI
behaviour
drifts.
Small
prompt
changes
break
products
in
unexpected
ways,
results
get
worse
and
it's
hard
to
tell
why.
Teams
keep
tweaking,
shipping
while
hoping
the
system
still
works.
AI
behaviour
drifts.
Small
prompt
changes
break
products
in
unexpected
ways,
results
get
worse
and
it's
hard
to
tell
why.
Teams
keep
tweaking,
shipping
while
hoping
the
system
still
works.
AI
behaviour
drifts.
Small
prompt
changes
break
products
in
unexpected
ways,
results
get
worse
and
it's
hard
to
tell
why.
Teams
keep
tweaking,
shipping
while
hoping
the
system
still
works.
AI
behaviour
drifts.
Small
prompt
changes
break
products
in
unexpected
ways,
results
get
worse
and
it's
hard
to
tell
why.
Teams
keep
tweaking,
shipping
while
hoping
the
system
still
works.
AI
behaviour
drifts.
Small
prompt
changes
break
products
in
unexpected
ways,
results
get
worse
and
it's
hard
to
tell
why.
Teams
keep
tweaking,
shipping
while
hoping
the
system
still
works.
AI
behaviour
drifts.
Small
prompt
changes
break
products
in
unexpected
ways,
results
get
worse
and
it's
hard
to
tell
why.
Teams
keep
tweaking,
shipping
while
hoping
the
system
still
works.
From
From
Your AI
Your AI
to reliable
to reliable
Most tools help you see what your AI is doing. The hard part is knowing where it fails and what to change.
Most tools help you see what your AI is doing. The hard part is knowing where it fails and what to change.
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. 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.
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.
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.
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.
5. Optimize using GEPA
Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.
Enter the reliability loop
Enter the reliability loop
Enter the reliability loop
A proven method to understand, evaluate, and fix your AI products
A proven method to understand, evaluate, and fix your AI products
Observability
Capture real inputs, outputs, and context from live traffic to understand what your system is actually doing
Observability
Capture real inputs, outputs, and context from live traffic to understand what your system is actually doing
Observability
Capture real inputs, outputs, and context from live traffic to understand what your system is actually doing
Observability
Capture real inputs, outputs, and context from live traffic to understand what your system is actually doing
Annotations
Annotate responses with real human judgment. Turn intent into a signal the system can learn from.
Annotations
Annotate responses with real human judgment. Turn intent into a signal the system can learn from.
Annotations
Annotate responses with real human judgment. Turn intent into a signal the system can learn from.
Annotations
Annotate responses with real human judgment. Turn intent into a signal the system can learn from.
Issue discovery
Automatically group failures into surface recurring issues, see breaks down points across users and use cases.
Issue discovery
Automatically group failures into surface recurring issues, see breaks down points across users and use cases.
Issue discovery
Automatically group failures into surface recurring issues, see breaks down points across users and use cases.
Issue discovery
Automatically group failures into surface recurring issues, see breaks down points across users and use cases.
Optimize via GEPA
Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.
Optimize via GEPA
Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.
Optimize via GEPA
Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.
Optimize via GEPA
Automatically test prompt variations against real evals, then let the system optimize prompts to reduce failures over time.
Automatic evals
Convert real failure modes into evals that run continuously & catch regressions before they reach users.
Automatic evals
Convert real failure modes into evals that run continuously & catch regressions before they reach users.
Automatic evals
Convert real failure modes into evals that run continuously & catch regressions before they reach users.
Automatic evals
Convert real failure modes into evals that run continuously & catch regressions before they reach users.
Get started now
Start with visibility.
Grow into reliability.
Start the reliability loop with lightweight instrumentation. Go deeper when you’re ready.
Start the reliability loop with lightweight instrumentation. Go deeper when you’re ready.
View docs
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
Works with Vercel AI SDK, LangChain, OpenAI SDK, and most common model providers.
Frequently asked questions
What is Latitude?
What is Latitude?
What is Latitude?
What is Latitude?
What is Latitude?
What is Latitude?
How can I see where my AI fails in production?
How can I see where my AI fails in production?
How can I see where my AI fails in production?
How can I see where my AI fails in production?
How can I see where my AI fails in production?
How can I see where my AI fails in production?
Is it easy to set up evals in Latitude?
Is it easy to set up evals in Latitude?
Is it easy to set up evals in Latitude?
Is it easy to set up evals in Latitude?
Is it easy to set up evals in Latitude?
Is it easy to set up evals in Latitude?
How does Latitude turn AI failures into improvements?
How does Latitude turn AI failures into improvements?
How does Latitude turn AI failures into improvements?
How does Latitude turn AI failures into improvements?
How does Latitude turn AI failures into improvements?
How does Latitude turn AI failures into improvements?
Does Latitude work with our existing stack?
Does Latitude work with our existing stack?
Does Latitude work with our existing stack?
Does Latitude work with our existing stack?
Does Latitude work with our existing stack?
Does Latitude work with our existing stack?