Intelligence · AI and machine learning

Models that seewhat is coming

Forecasting, classification and pattern-spotting built on your own data, delivered inside the tools your team already uses.

Models on live data · live
What changes · for you

From where you areto where you want to be

The difference you feel in the first months, in plain words.

Guessing next monthForecasts you can plan with
Sorting by handClassified automatically
Problems found too lateAnomalies flagged early
Insights in a notebookPredictions in your app
What we build · AI and machine learning

The work, infour shapes

Most projects are one of these, or a mix. Every one ships with tests, documentation and a handover.

Forecasting

Demand, stock and revenue, ahead of time.

Classification

Tickets, documents and leads, sorted.

Anomaly detection

Fraud, failures and drops, flagged.

Recommendations

The next best product or action.

How it runs · four steps

What happensafter you say yes

The same senior team from the first call to the release, and one lead you can always reach.

  1. 01

    Pick one workflow

    We choose where AI saves the most time, and measure it as it is today.

    a clear baseline
  2. 02

    Prototype on your data

    A working version on your real documents and systems, not a demo set.

    in weeks
  3. 03

    Ship with a person in the loop

    Live in production, with a human approving what matters.

    safe by design
  4. 04

    Measure and improve

    Every month we compare against the baseline and make it better.

    numbers, not hype
Is it right for you · signs

It fits when youhear these

Tools we often use
Pythonscikit-learnTensorFlowSageMaker
You have years of dataPlanning relies on gut feelSomeone sorts things by handProblems surface too lateYou want predictions in your product
Your dataalready knows

Stop guessing.Start forecasting