Leverage your network

Too much manual work. Too little time to grow.

Help your contacts put AI to work. We find where it pays off, build on their existing systems, and run what we deliver. You make the introduction. We take it from there.

Talk to human15 minutes. Terms agreed on the call.

5.0Clutch, 17 reviews

120+products launched

Fast 50Deloitte Technology Fast 50, 2023

18 yrsbuilding companies

How it works

One intro. We handle the rest.

Introduce
Connect us by email and share the problem. No need to join the meeting.
We deliver
We handle the conversation, proposal and delivery, and keep you informed along the way.
You get paid
Your reward is based on the first agreed project scope, paid as the client settles its invoices.

Win-win

Good for you. Good for your contact.

For you

A reward for opening the door.

Earn a share of paid invoices from the first agreed scope.
We handle sales and delivery after your intro.
No need to attend meetings. We keep you updated.

For your contact

From business problem to working AI.

Start with the use case that offers the strongest return.
Build agents and apps on the systems they already use.
Keep them running and measure time saved, errors and costs.

Sound familiar?

Everyday problems. Practical solutions.

The same data, entered again: Orders arrive by email, PDF and spreadsheet. We build agents that move the data into existing systems, with human approval for sensitive steps.
Work finished. Invoices waiting.: Missing reports, timesheets or signatures hold up billing. We connect the workflow so completed work can move through to invoicing.
One answer. Four systems.: Documents, processes and know-how are scattered. We bring them into a knowledge base with answers and sources in Slack or Teams.
Software costs keep climbing: Licences add up while key work still happens in Excel. Where it pays off, we build a tool the client owns. If licences cost less, we say so.
Pressure to use AI. No clear first step.: We map where the team loses time, rank opportunities by return, and test the strongest use case on real business data.
Sensitive data. AI on hold.: When data must stay inside the business, we run local AI models on the client’s hardware so useful automation can still move forward.