OpsTower
The Engine for AI-Native Startups
Zero micromanaging

Hire a team of AI employees that work alongside yours.

Not agents you have to micromanage. Employees. They figure out what needs doing, manage their own schedule, learn your business, and get better over time — you don't hand them a task list.

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You don't need more agents. You need real work done.

As a founder, the last thing you want is another thing to manage. Another agent to prompt, another task list to keep, another tool waiting for you to tell it what to do.

What you actually want is someone you can hand a problem to. Someone who reasons across every tool boundary the way you do, connects what's happening in one system to what's happening in another, and gets to the outcome — whether that's tracing a bug through three services or running your company's content strategy end to end.

Not a task-doer waiting for instructions. A teammate who owns the result.

Real users

Don't take our word for it

Super easy and fast to debug across multiple data sources. Chatting with it helps dig deeper into the root cause, and having a connection to both logs and code is key. I love that it can suggest a solution: I usually paste that into Claude Code to vet the analysis and do the actual fix.
GeeCTO, AI video startup
OpsTower has fundamentally changed how I investigate production issues. Instead of manually digging through logs, databases, and source code, I can quickly trace an incident from symptom to root cause. The quality of the analysis is impressive, and it consistently helps me identify the real reason behind user-reported problems in a fraction of the time.
MarcinLead developer, startup
Since OpsTower employees started running our content, our follower count went up by 50%, and we keep getting new leads we didn't have access to before. Like good employees, they just do the work, and I don't need to micromanage them all the time.
MichaelFounder, startup

An agent does tasks. An employee owns outcomes.

Both are useful. They're not the same thing.

AI Agent

  • How work startsYou give it a task
  • The work itselfDoes the one task
  • ScopeOne tool, one job
  • ScheduleRuns when you trigger it
  • KnowledgeKnows the prompt you gave it
  • Over timeSame as day one
  • What you manageThe agent
  • What you getA completed task
Owns outcomes

AI Employee (OpsTower)

  • How work startsYou give it a business goal
  • The work itselfBuilds and manages its own task list
  • ScopeReasons across your whole stack
  • ScheduleManages its own time
  • KnowledgeLearns your business over time
  • Over timeBuilt-in self-improvement
  • What you manageNothing — you review the results
  • What you getThe outcome you actually wanted
See them at work

See the team at work.

Three real worked examples — a solo investigation, a self-improving loop, and a team that hands work to each other. Every run is inspectable, so you can always check its work.

01 / 03

See one at work.

Here's a support engineer employee that noticed a problem nobody assigned it.

Every run is inspectable. You see exactly what it looked at, what it concluded, and why — not a black box, a teammate that shows its reasoning.

  1. No one asked it to look. It watches your stack the way a teammate would. At 2am, revenue dips in Stripe. It notices.

  2. It connects the dots across tools. It checks PostHog and sees activation dropping in the same window. It pulls Sentry and finds a spike of webhook timeouts. Three tools, one story — the kind of correlation you'd normally be doing yourself.

  3. It finds the root cause. A Stripe webhook is timing out, so new signups never get marked active. Not a symptom. The actual cause.

  4. It does something about it. It files a Linear ticket with the full trace, the affected users, and the fix it recommends — assigned to the right engineer, waiting for you in the morning.

  5. You wake up to the answer, not the alert. No dashboard-hopping. No 2am. Just the outcome, with every step shown so you can check its work.

How it works

You manage them the way you manage people — not the way you manage software.

  1. 01

    Connect your stack.

    Plug in the tools you already run on — Stripe, PostHog, Sentry, Linear, GitHub, Slack, and 30+ more. It takes minutes, and no data engineering. Every employee works from the same connected context, so it sees the whole picture, not one corner of it.

  2. 02

    Give it a goal, not a task list.

    Tell an employee what you want it to own — "keep our signups healthy," "run our LinkedIn," "watch the competition." From that goal, it builds its own work: the one-time tasks to get started and the recurring ones to stay on top of it. You don't script the steps. It figures out what the job actually takes.

  3. 03

    It works, and reports back.

    It runs its own schedule — investigating, drafting, monitoring, correlating across your tools — and comes to you when there's something worth your attention. An answer, a decision to make, a piece of work to approve. You wake up to progress, not a queue of prompts to write.

  4. 04

    Talk to it. Steer it. Just like your team.

    Change your mind, add context, ask why it did something, tell it to go deeper on one thing and ease off another. You manage an OpsTower employee the same way you manage a good hire — a conversation, not a configuration screen.

  5. 05

    It reflects, and gets better.

    Like any good hire, it looks back on its own work — what landed, what missed, what to do differently — and learns from every conversation with you and the rest of the team. It doesn't repeat the same mistakes or wait to be corrected twice. The employee you have in six months is sharper than the one you hired today.

Built for AI-native companies

YC is pushing founders toward closed-loop companies. OpsTower is the stack that enables these loops.

AI-native teams need more than point copilots. They need the company to become agent-readable: every workflow captures signals, those signals feed an intelligence layer, and the next decision gets better.

Old stack

Dashboards, tickets, support threads, logs, and revenue data each wait for a human to connect the dots.

AI-native stack

Every system becomes context an agent can inspect, reason over, and carry into the next workflow.

OpsTower

The connective tissue between company data and the recurring loops your team wants to run.

Start today

Hire your first AI employee.

Connect your stack and put an employee to work in minutes. Start free, or see it running live on a demo.

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