Self-hosted AI observability

What's happening
in production?

Ask in plain English. Get real answers from your logs, traces, and metrics. One Docker image. Your infrastructure. No seat limits.

Try the Demo How it works ↓
Logsurface observability dashboard
See it for yourself
500 million spans. One container. One machine.
Ask it anything.
This is enterprise-scale telemetry from a production sneakers platform — loaded into a single Docker image. No cluster. No managed service. No vendor.
Try the live demo →
Try asking: "Are there any payment failures in the last hour for customers in Europe?"
Why LogSurface

Not another dashboard.
A different approach.

"But my current tool has AI too."
Their AI helps engineers query faster. Ours lets your whole team query. Different problem.
No per-seat pricing. No per-GB fees.
One Docker image. Your hardware. Fixed cost. Your data already in S3? We run right next to it.
Fine-tuned LLM on your infrastructure

It understands your team,
not just telemetry.

"service payment-gateway-v2 returned 503"
"payments are broken again"
We fine-tune a model on your service names, your error patterns, your team's language. Every question maps to the right systems automatically.
The model runs inside your container. Your data never touches an external provider. Nothing leaves.
This is the difference between generic AI bolted onto an existing tool and a model fine-tuned to actually understand your team.
Get in touch →
Who it's for

Your whole company depends on production.
But only 3 people can check it.

Support Lead
Customers report an issue, you ping an engineer and wait. With LogSurface, you ask yourself:
"Are there any payment failures in the last hour for customers in Europe?"
Marketing Manager
You launched a drop and have no idea what happened. With LogSurface, you just ask:
"What percentage of users dropped off during checkout in the first 5 minutes of the Yeezy release?"
Engineering Manager
Standup in 10 minutes and you're digging through dashboards. With LogSurface:
"Give me a health summary of all services for the last 24 hours."
No training. No query language. No license needed.
How it works

One Docker image.
Live in minutes.

01
Run it
$ docker run logsurface
02
Connect it
Send OTLP data directly — it's a collector itself. Or point your existing collectors at it. If your tools already export traces, logs, or metrics, it just works.
03
Ask it anything
Browser, terminal, or your editor. Same engine. Whole team. Day one.
Done? Shut it down. Need it again? Spin it back up.
It's a tool, not a commitment.
See it before you believe it

500 million spans. One Docker image.
One machine.

This is the demo. Ask it anything.
Try the live demo →
Observability for your whole team. Not just engineers.
Join Early Access →
Early Access

Be the first to try
LogSurface.

We're onboarding a small group of teams for early access. Pricing will be simple, predictable, and nothing like the per-host, per-GB model you're used to.