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 for your systems

Same question.
Different answer.

"How did the Yeezy drop go?"
Generic AI
I found 12,847 spans mentioning "yeezy". Here are the top errors sorted by frequency…
Fine-tuned on your systems
The Yeezy 350 release at 10am saw 43K checkouts in the first 5 minutes. Cart-to-purchase conversion was 62% (vs your usual 78%). The bottleneck was inventory-svc — p99 latency spiked to 4.2s at 10:02. Stripe webhooks recovered by 10:07.
Trained on your services, your errors, your language. Runs inside your container. Nothing leaves.
Get in touch →
Who it's for

Your whole company depends on production.
Why can only a few people 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.
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.