Newsroom
Announcements, press and posts from the STLabs team.
Boo. Your workflows broke again.
Nobody touched it. Your org changed: a reorg, a new tool, a manager gone. Now the automation is quietly doing the wrong thing. So someone rebuilds it. Next quarter, same thing.
Translation is easy. Understanding is the hard part.
STLabs AI reads every request in its native language, resolves what it can, and hands your team the rest in theirs, with full context attached.
Every audit, the same question comes up: did everyone who left lose access on time?
Most teams lose weeks to exports, screenshots, and old email threads. STLabs tracks every person, permission, and change in one live graph. So next audit, you just ask.
Nobody stays on a legacy platform because they love it.
They stay because switching feels like more work than staying. Years of workflows. Custom fields nobody remembers building. A renewal date that keeps sneaking up.
Platform access should come with the role, not the request.
Most AI tools wait for someone to ask, then check a policy someone wrote by hand. But STLabs already knows. It reads from Axiom, a living model of your organization (role, team, site, legal entity), and gives people what they need before they ask.
What if 50% of your IT team’s tickets never had to be opened?
STLabs resolves issues the moment they’re asked, using context of who you are, what devices you have, and any knowledge you have. And every fix becomes a workflow for next time.
The best form is the one you never have to find.
Forms exist because the system doesn’t know who you are.
When ticket volumes jump 3x in the last hour, that’s not a task. That’s an investigation.
Someone has to dig through five systems and piece the story together.
Your software spend grew 30% and nobody can tell you which teams actually needed it.
Our Axiom can. It runs on a live graph of your org that updates every time someone joins, switches teams, or stops logging in. So it knows the difference between a seat nobody opens and a seat that costs 3x more than the way it’s being used.
Onboarding new hires shouldn’t start with someone remembering.
STLabs picks it up the moment the offer is accepted and assembles the steps itself, using live context from across your systems.
A broken sink on the 7th floor isn’t a workflow. No API is fixing that.
STLabs reads the request and sends it straight to Facilities, so your IT desk never has to pass it along. Our live graph knows who owns what: every team, every service, every site.
STLabs launches with $49 million in seed funding
We came out of stealth with a seed round co-led by ICONIQ and CRV, after incubating at ICONIQ.
Ex-Datadog Leader’s AI Startup Nabs First $49 Million Funding
Bloomberg on our seed round, co-led by ICONIQ and CRV, and what Amit is building after Datadog.
IT automation startup Standard Template Labs raises $49M
How STLabs resolves IT requests instead of tracking them, and Axiom, the live model underneath.
Amit Agarwal on Standard Template Labs and redefining service management for the AI era
Matt Jacobson talks with Amit about software that resolves work instead of recording it.
Ten years, day zero: rebuilding service management for the agentic AI era
Why ICONIQ incubated STLabs, a first in the firm’s history.
Amit Agarwal is Building Again
Why CRV, an early Datadog investor, co-led our seed round.
New AI startup with team from Amazon, Meta, and Datadog launches with $49M funding
The team behind STLabs, and the round it launched with.