AI engineering · Predictive analytics · Analytics apps

We build AI agents and predictive models on your business data.

Automate the work your team repeats, see what is coming next, and run the business from one set of numbers. Tested before launch, measured after.

Agent run · Renewal risk brief

Running

Trigger

Northline Pay payment volume is down 23%

  1. Retrieved 14 records

    CRM · Billing · Support

  2. Scored churn risk: 78%

    Churn model v3 · 3 drivers

  3. Masked account details

    Policy check passed

  4. Drafted renewal brief

    Cites 4 sources

Waiting for the account owner

Nothing is sent without approval

Grounded in 3 systems · Eval pass 96% · Illustrative example

How we build AI

Engineered for production, not just the demo.

Most AI pilots stall on messy data, untested answers, or no way to measure value. Every build we ship goes through the same six stages.

Stage 01 / 06

Illustrative example

Map the data

We connect the sources the AI needs, clean them, and agree what each field means. Most AI failures start here.

  • Source and access map
  • Cleaned, matched records
  • Agreed definitions
Predictive analytics

See what is likely to happen, and why.

We build churn, lifetime value, demand, and risk models on your history, then explain each prediction so teams know what to do about it.

  • Churn and retention
  • Customer lifetime value
  • Demand forecasting
  • Revenue forecasting
  • Credit and payment risk
  • Lead conversion
Explainable
Every score comes with the drivers behind it.
Tested on your history
We backtest on past periods before anyone relies on a prediction.
Built into daily work
Scores reach the CRM, the app, or an alert, not a slide deck.

~$500K+

Annual revenue protected (estimate) · Fractal

Read how we build LTV prediction systems

Health score · 8-week forecast

Illustrative

at risk below 50actualforecasttoday 41

Northline Pay · health score

41 / 100

Down from 82 · What is moving the score

  • No contact for 21 days−18
  • Payment volume down 23%−14
  • Support tickets up 3×−9
  • Renewal due, no meeting booked−6
  • Customer for 4 years+7

Tell us what you are trying to fix.

We can look at the systems involved and suggest a sensible place to start.

A straightforward 30-minute conversation.