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HomeRun

HomeRun provides councils and schools with an AI‑driven intelligence platform, HomeRun STEP, that analyzes anonymised journey, behavioural, geographic and demographic data to map how children travel to school. By identifying the most effective and cost‑efficient travel interventions, the platform helps local authorities prioritize actions that reduce congestion, emissions and safety risks on the school run. The solution is already used by councils covering over 1,300 schools and half a million pupils.

Updated 15 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Local authorities and schools often lack detailed, evidence‑based insight into how children travel to school, relying on assumptions or limited surveys. This makes it difficult to prioritize interventions that effectively reduce congestion, emissions, and safety risks while delivering value for money.

Solution

HomeRun offers the STEP platform, an AI‑driven intelligence tool that aggregates anonymised journey data with behavioural, geographic, and demographic information to create a comprehensive map of school travel patterns. Advanced modelling and machine‑learning algorithms analyze this data at scale, providing councils with strategic intelligence on where travel interventions will have the greatest impact and cost‑effectiveness. The platform enables transport and active‑travel teams to move from reactive, school‑by‑school planning to evidence‑led, equity‑focused prioritisation across entire jurisdictions. By visualising realistic change opportunities, STEP supports targeted reductions in congestion, emissions, and safety incidents for over 1,300 schools and half a million pupils.

Target Audience

Primary users are local authority transport and active‑travel teams, as well as school administrators responsible for planning and implementing school‑run interventions.

Features

  • Integration of anonymised journey data with behavioural, geographic, and demographic layers to produce a detailed school‑run landscape
  • AI‑powered modelling and machine‑learning analytics that quantify the impact and cost‑effectiveness of potential interventions
  • Scalable, jurisdiction‑wide intelligence allowing councils to prioritize actions based on evidence, equity, and projected outcomes
  • Interactive dashboards that visualise travel patterns, intervention hotspots, and projected emission or congestion reductions
  • Secure, privacy‑first data handling that complies with regulatory standards while delivering actionable insights
This profile is AI-generated and may contain inaccuracies.