A LITTLE LESS ON-CALL.

Get to the
bottom of
every alert.

Meet your AI on-call investigator. From the first signal to the root cause. With evidence at every step.

Explore an investigation

In the works. Built for the people behind production.

A curious mind.
A very steady hand.

YOUR STACK. A FRESH PAIR OF EYES.

Starting with the tools you already trust.

△Sentry☁Google CloudGitHub✣Slack

Planned connections

01 / FOLLOW THE THREAD

A small alert.
The whole picture.

Pick a signal. Follow the evidence.
See what changed.
Go on, you're in the driver's seat.

Investigation deskInteractive example

READ-ONLY

INV–0042 / CHECKOUT-API

Checkout errors after a deploy

TAKE THE EVIDENCE WITH YOUA small example. A complete paper trail.

A sample investigation, not live production data.All services, events and results are illustrative.

02 / DEEPER, BY DESIGN

Good answers
leave a trail.

An answer is a starting point.
The evidence is what makes it useful.

Don't take its word for it.
Take a look for yourself.

Open the logs. Check the deploy. Read the line of code. Every finding should stand up to a second pair of eyes.

THE RECEIPTS04 ATTACHED

↳Log excerptcheckout-api · 14:05:12

TypeError: Cannot read properties
of undefined (reading 'currency')

↗Deploy recordrevision 00042 · 14:03

Revision 00042 received 100% of traffic at 14:03. The first error followed two minutes later.

⌘Code referencecart/price.ts · line 88

const price = cache.get(cart.id).price
return format(price.amount, price.currency)

◷Request comparisonold carts vs. new carts

Failing carts predate the deploy. Newly created carts check out successfully in this sample.

Illustrative evidence

LESS NOISE. SAME PROBLEM.

Forty-one alerts.
Three conversations.

Related signals belong together.
So your attention goes further.

Sample alert grouping

Looks. Never touches.

Read-only investigations.
Your production stays in your hands.

READ ACCESS ONLY

03 / CLOSE THE LOOP

It checks the
ending, too.

A fix isn't finished when it ships. Plumb checks the next release against the original evidence, so you can move on knowing.

From “should be fixed”
to “checked in production.”

CHECKOUT-API / ERRORS

412errors in 4 minutesREVISION 00042

14:0014:0514:1014:15

↗ Errors began after the new revision took traffic.

Illustrative release comparison

Explicit scope

The right service, revision and time.

Evidence attached

A finding you can check yourself.

A budget for every dig

Focused work. Clear limits.

A FEW GOOD QUESTIONS

Glad
you asked.

What exactly is Plumb?

An AI on-call investigator in early development. Plumb is being built to group alerts, investigate your production systems with read-only access, and bring back the likely root cause with evidence.

Will it change anything in production?

No. Plumb's investigations are read-only. It won't restart services, roll back deployments, change configuration or write data. Your team decides how to fix an issue.

Which tools will it connect to?

We're starting with error tracking, cloud logs, deploy history and source code, with findings delivered where your team works. The connections shown here are planned; supported integrations will be confirmed before launch.

How is this different from a coding agent?

Plumb is focused on what happened in production: choosing the investigation scope, grouping related alerts, collecting evidence, and checking the next release. It's designed to complement the tools you use to write the fix.

When can I try it?

Plumb is in early development. Early access is coming soon. We're getting ready for the first teams; sign-ups aren't open yet.

MORE BUILDING. LESS DIGGING.

Go build.
We'll go deeper.

Your next good idea deserves your attention.

Getting ready for the first teams.

Get to thebottom ofevery alert.

A small alert.The whole picture.

Checkout errors after a deploy

Good answersleave a trail.

Don't take its word for it.Take a look for yourself.

Forty-one alerts.Three conversations.