AI Solutions · Predictive Analytics

Know what happens
next.

Test forecasting use cases, connect predictions to existing workflows and refine their accuracy as the data changes. Your $1,499/month AI Product Team includes planning, implementation and human review, with one active priority.

Editorial illustration of predictive analytics, revealing patterns and future possibilities in data.
AI-first. Human-backed.Explore this service

What We Build

Predictions that
drive decisions.

01

Forecasts you can act on

Churn risk scores in your CRM, demand curves in your planning sheet. Predictions live where your team already works.

02

Your data, made ready

We clean, join and pipeline the messy data first, because a model is only as good as what feeds it.

03

Honest accuracy

Backtested models with clear confidence intervals. We tell you what the model knows and what it does not.

04

Dashboards people open

Clean Metabase and Grafana reporting for the whole team, not another tool nobody logs into.

Part of your product subscription

One plan.
Your next possibilities.

Design, web and mobile development, releases and analytics setup. One agreed priority in progress at a time.

$1,499/ month

Explore everything included Founding client pilot. Code you own.
  • AI builders. Human expertise.

    Implementation, testing and experienced engineering review in one team.

  • Management included.

    We organize your backlog, agree priorities and keep you up to date.

  • Keep testing your ideas.

    Release an agreed milestone, measure what matters and choose the next move.

Tools & deliverables

The tools behind our analytics work.

A modern data stack that scales from a startup's spreadsheet to millions of events a day.

  • Python
  • Pandas
  • scikit-learn
  • XGBoost
  • Prophet
  • BigQuery
  • Snowflake
  • dbt
  • Airflow
  • PostgreSQL
  • Metabase
  • Grafana

How We Work

Build. Launch.
Learn. Repeat.

  1. Step 1

    Choose the next priority

    Share the decision you want to support. We agree a focused forecasting milestone and how to evaluate it.

  2. Step 2

    Audit & validate

    Review the data and compare models with useful baselines before selecting an approach.

  3. Step 3

    Integrate & review

    Build the agreed prediction feature into your tools, with tests and human review of the integration.

  4. Step 4

    Measure & refine

    Track accuracy and usefulness in the workflow, then prioritize the next data or product improvement.

Our Work

Products we've
shipped.

See all work
One conversation can start something.

Good ideas deserve
to be built.

Plan your first build

Your next idea, one clear milestone at a time. An AI product team, human review and project management for $1,499/month.