Predictions you can explain to a board.
We build the data foundations and machine‑learning models behind better decisions: demand forecasts, risk and lead scores, and recommendations. Every score ships with the factors behind it, the same standard behind our own AIQ score.
Where it pays off.
Typical use cases we design, build and run for clients.
- Demand & revenue forecastingPlan inventory, staffing and cash with confidence ranges.
- Scoring modelsLead, churn, credit or risk scores with explainable factors.
- Recommendation enginesPersonalised products, content or next actions.
- Analytics & dashboardsA single, trusted view of the numbers that matter.
From first call to production.
Define the decision
Map the workflow, data and the outcome we will measure.
Prove it on real data
A working build scored against an agreed evaluation set.
Integrate & secure
Connect your systems, add guardrails, access control and logging.
Measure & improve
Dashboards, alerts and regular outcome reviews.
Deliverables
Start with an AI Launchpad
A working prototype of your data & predictive ai use case, tested on your data, before you commit to a full build.
Book a scoping call →Often paired with
AI Strategy & Transformation
Find the use cases worth funding, size the return, and get AI into production.
Explore →AI Evaluation & Safety
Test suites, red‑teaming and monitoring so AI quality is measured, not assumed.
Explore →AI Agents Development
Autonomous and multi‑agent systems that research, decide and act across your tools, with a person approving what matters.
Explore →Let's scope your data & predictive ai project.
Share the problem and the systems involved. We will come back with a plan, a timeline and how we would measure success.