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Know what each feature costs, and what it earns.

Dashboards that tie spend, AI spend included, to real outcomes, so budget goes where it pays back.

How it works
  1. Collects usage and cost events from your apps
  2. Cleans them and joins them to customers and features
  3. Classifies the messy parts with AI
  4. Ranks features by cost per outcome

What changes for your team

Cut what doesn't pay

The features and models that cost most for the least return stand out.

See where visitors drop off

Sessions and funnels show where people leave, and forecasts show what comes next.

Compare with your peers

Benchmarks show where you stand among companies of your size and industry.

We have built this before

So your version starts from working patterns, not from zero.

  • An AI-spend analytics product with SDKs, dashboards, SSO and SCIMBuilt in an enterprise team
  • An AI maturity assessment with benchmarksBuilt in an enterprise team

How the project runs

  1. CALL

    Talk it through

    The problem, who has it and what good looks like.

  2. SCOPE

    Agree the scope

    What is in and what is out, written down for you to approve.

  3. BUILD

    Build and review

    AI agents do the volume; a senior engineer reads every change.

  4. LIVE

    Launch and run

    We deploy, monitor and fix. The code and every key are yours.

What it costs

The price is fixed before work starts, and you pay only for what you approved.

Product and MVP buildsfrom €12,000Includes collection, the dashboards, sign-in for your team and deployment.3–6 weeksBook a call

Tell us what you need built.

A free 30-minute call with the engineer who would lead it. You leave with a scope outline and a price range.