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AI for your product and engineering team.

What the team does all week. Decides what to build next, builds it and makes sure customers use it.

What costs it most Every small change takes the developers months. 17.3hoursof a developer's week, lost
A sample change to an internal tool: AI agents write it, run every test and leave it for your engineer's yes. Shown with sample data.

A week in the product and engineering team.

  1. Mon

    Reading feedback scattered across tickets, sales notes and calls.

  2. Tue

    Writing specs, then explaining them again in meetings.

  3. Wed

    Fixing bugs and old code instead of building what's next.

  4. Thu

    Testing releases by hand before they go out.

  5. Fri

    Guessing which features matter because the usage data is hard to read.

What it costs

Where the product and engineering team's week goes.

The problems the product and engineering team lives with, each with what it costs and where the number comes from. Open one to see it drawn, and what fixes it.

What we build for it

11 systems for the product and engineering team.

Filed under the offer each one belongs to. Press a capability to see it at work.

Win customersLeads wait until Monday. The buyer doesn't.

  1. Intelligence

    Feedback brain

    Reads every ticket, call and review, groups what customers ask for and counts how often.

  2. Intelligence

    Usage view

    Which features people use, where they get stuck and who is about to stop.

  3. Brand

    Release notes and docs

    Release notes, help articles and short videos written from what actually shipped, so customers find and use what's new.

Get the work doneEverything comes to you. Most of it shouldn't.

  1. Documents

    Spec writer

    Turns a rough idea and customer quotes into a clear spec with screens, edge cases and tests.

Know your companyOnly one person knows how pricing works.

  1. Knowledge

    Decision log

    Every spec, decision and customer quote behind a feature, searchable, so nobody argues last quarter's call again.

Stay in controlYour staff already use AI. Your files go with them.

  1. Models

    Your own model

    A model trained on your field, running on your servers or on your customers' devices.

  2. Trust

    AI feature checks

    Every AI feature tested against real cases before release, with results you can show customers.

Build something newBring us your idea. We'll bring it to life.

  1. Apps

    Working prototype

    A working version of a new feature or product, to put in front of real customers.

  2. Agents

    Coding agents

    Agents that write, test and review code under your engineers' rules, so the backlog moves.

  3. Agents

    Test agent

    Uses your product the way a customer would before every release and reports what broke.

  4. Conversations

    Help inside the product

    An assistant inside your product that answers 'how do I' questions from your own docs.

A sample sales dashboard: the week with a forecast, and a dip explained in words. Shown with sample data.
For the product and engineering team: Build something new

Bring us your idea. We'll bring it to life.

An app, a portal, a product or a line of business run by AI agents: shaped, built, launched and run, in your name from day one.

What changes. Something real people can try, then a product with live users, in your name from day one.

What we measure, before and after. Real users on it.

The old way keeps running until the new one has passed on your own work.

Tell us what has been waiting in the backlog.

45 minutes on a video call with our founder and the people who live with the problem. Nothing to sign. You leave knowing what we would build first, and why.

Or write to us.hello@agentec.cloudAgentec on LinkedIn

A capability

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