UK analytics consultancy
Predictive models that show what demand and cost will do next.
Info Insight builds machine learning models, simulations and AI-driven reporting for local authorities and housing associations — forecasting expenditure, predicting risk at case and property level, and turning complex data into a narrative that finance, members and regulators can act on.
What we do
Three capabilities, applied to the decisions that carry the most cost
Every engagement combines the same core methods. What changes is the question — how much will we spend, who is most at risk, and what happens if we change something.
Predictive modelling
Supervised machine learning on record‑level data to forecast expenditure and predict risk — which clients will need long‑term care, which properties will develop damp, which components will fail. Multiple algorithms are trained, validated and competed before the best performer is selected.
Simulation and scenario modelling
Stochastic and discrete‑event simulation for the parts of the system a regression cannot reach: new client starts, length of stay, bed occupancy, placement mix and bottlenecks in client flow — with assumptions your own analysts can adjust.
AI‑driven insight and reporting
Automated performance reporting that reads complex financial and operational data and returns a clear written narrative: what changed, where the pressure is building, and what warrants attention — in plain English, ready for a committee paper, or published as an interactive JSNA website that refreshes from national sources.
What we cover
Three service areas, for councils and housing associations
Organised by the service you run rather than the type of organisation you are. A council housing team and a housing association face the same damp and mould duties; a finance director and a commissioner need the same social care forecast.
Social care
Adult social care expenditure forecasting, long‑term care need prediction, capacity and flow simulation, return on investment for prevention programmes, and looked‑after children placement modelling.
Explore social care modelsHousing
Damp and mould risk scoring ahead of tenant reports, predictive repairs and asset investment planning for housing associations and council landlords, and temporary accommodation demand and cost.
Explore housing modelsPublic health
Prevalence forecasting sized for commissioning, combined NHS and social care return on investment, outcome modelling for services such as stop smoking, and JSNA websites and reports that update themselves.
Explore public health modelsSample outputs
What the work actually looks like
Worked examples, produced on synthetic or published data, showing the format and type of insight each model returns. Full versions are available to download.
How we work
Your environment, your data, your code at the end of it
Info Insight works inside the client's own cloud tenancy — typically Microsoft Fabric or an equivalent. Sensitive record‑level data never leaves the organisation, and everything built transfers to your team on completion.
Scope and data
Agree the question, the decision it supports and the minimum data needed. Source data is pseudonymised and record‑level, usually across five or more financial years.
Build in your tenancy
Models are developed in a client‑provisioned workspace with version control and experiment tracking. No data is copied out; no sub‑contractors are used.
Validate and hand over
Documented notebooks, a written methodology, a retraining runbook and a walkthrough session, so your analysts can rerun the model without us.
Refresh and support
Optional quarterly retrains on the latest completed period, producing a refreshed forecast that firms up as in‑year actuals arrive.
Why Info Insight
Specialist enough to be useful, small enough to be accountable
Work is delivered personally by Ryszard Sekula, Managing Director, over secure encrypted connections, in full compliance with applicable data protection legislation. There is no account layer, no offshore delivery team and no dependency on us after handover.
- No data leaves your organisation. Everything is built inside your own cloud environment.
- Full technology transfer. Python notebooks, scripts and model artefacts are yours, in your Git repository.
- Methods explained, not hidden. Advanced analytics are described in terms your team and your auditors can follow.
- Hands‑on training. Your analysts are taught the models and the simulation methods behind them.
- Fixed‑price packages. Scope, timeline and price agreed up front.
Have a forecasting or risk question you cannot answer from last year's outturn?
Tell us the decision you are trying to make and the data you hold. We will tell you honestly whether a model would help, and what it would take to build one.