About tigoLab

About tigoLab: a small team that builds the AI assistant and runs it

tigoLab is a founder-led team that builds custom AI assistants for small and mid-sized businesses. You talk to the people who build your assistant. The first one is live in two to three weeks, and you pay only if it saves time.

Built by a team that built the #1 agent on SWE-bench Verified. The same people who push the frontier of coding agents build your assistant.

Who we are

We are a small team, and that is the point. When you work with tigoLab, you talk directly to the people who build and run your assistant. There is no account layer between you and the work. We take on a limited number of projects so each one gets real attention, and the person who scopes your job is the person who ships it.

What we have built before

Our team built the number one agent on SWE-bench Verified, the public benchmark that measures whether an AI agent can actually resolve real software issues. That work sits at the frontier of what agents can do. We bring the same engineering to a smaller, more useful problem: one quiet assistant that does one job in your business, reliably, every day.

How we work

  1. We pick one job that is repetitive and worth automating.
  2. We build the assistant around your existing email, calendar, spreadsheets, and files.
  3. A person on your team approves every important step before the assistant acts.
  4. The first version is live in two to three weeks, and we tune it with you after launch.

What we believe

We believe automation should earn its place. That is why a person approves the important steps: an assistant should remove the boring work, not take away your control. It is also why you pay only if it saves time. We would rather turn down a job that will not pay back than bill for an assistant that does not earn its keep. An assistant should do work, not just chat, so we build digital workers that read, use your tools, and prepare real output.

Where to start

If you are weighing it up, read how the done-for-you model works, see what a custom AI agent does, estimate the payback with the savings calculator, or look at example jobs like invoice chasing.

Talk to the people who build it

Book a call. You will talk to the team directly, not a sales layer, and we will tell you honestly if an assistant pays back.