Unlocking 1.5 Million Homes Through Innovation

Delivered through collaboration between MHCLG’s Digital Planning Programme and Geovation (an Ordnance Survey initiative), the event highlighted the emerging impact of real‑world testing in planning and development contexts, and set the stage for the next phase of insight consolidation and future collaboration to support sector‑wide adoption and scalability.

Pilot teams at the milestone event at Central Hall Westminster

Driving scalable innovation in housing delivery

The PropTech Innovation Challenge (PIC), a government-backed initiative, was designed to accelerate the delivery of 1.5 million homes in England. The Challenge was rooted in cross-sector collaboration, bringing together startups, local authorities, housing developers, and government bodies to co-create digital tools that address systemic barriers in planning and housing – including access to land data, viability of small sites, and infrastructure certainty. With £1.2 million in funding, the programme’s development phase is complete and the pilots have tested and proven their solutions in live environments across England.

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expressions of interest
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full applications from brand new start-ups to long-established plc’s
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shortlisted finalists
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winning teams
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pilot partners

Housing delivery is not held back by one single problem, but many connected  uncertainties: ownership, viability, policy and compliance, infrastructure, time, cost,  risk – and so on. 

The Challenge therefore focused around three problem statements, each one a different pressure point in the housing delivery system: 

How might we transform currently siloed and proprietary land ownership data into an open and interoperable resource that accelerates the conversion of potential development sites into tangible housing projects?

METRICS

  1. An increase in the number of additional houses built.
  2. A reduction in the time it takes, or cost for a developer to assess land viability.
  3. A reduction in the time it takes or cost for a developer to identify and contact a landowner to discuss land viability.
  4. A reduction in the time it takes a developer to purchase the land from a landowner.
  5. An increase in the number of land ownership insights that help developers and LPAs understand land ownership, its complexity, and opportunities at a local level.
  6. An increase in the number of small sites that developers are aware of and can bring forward for development.

How might we increase the attractiveness of small sites for SME developers and other new market entrants through streamlining the processes involved in small site development?

METRICS

  1. An increase in the number of additional houses built.
  2. An increase in completed schemes.
  3. An increase in the number of SME developers or new market entrants.
  4. A reduction in the number of planning refusals.
  5. A reduction in the time it takes to be granted planning permission.
  6. An increase in investor confidence in the ability of developments to deliver an ROI.
  7. An increase in financial investment in small site developments.

How might we de-risk housing projects and unlock a surge in developer activity by giving developers and local planning authorities absolute certainty and radical transparency regarding existing and future infrastructure capacity?

METRICS

  1. An increase in the number of additional houses built.
  2. An increase in completed schemes.
  3. A reduction in the number of planning resubmissions due to infrastructure issues
  4. An increase in the number of open, actively managed infrastructure datasets that are shared, England-wide, with all LPAs, landowners, and developers.
  5. An increase in investor confidence in the ability of developments to deliver a return on investment.

Read the full research report for more about the key challenges facing housing delivery, stakeholder perspectives, methodology, and metrics for success.


Problem Statement 1: Making land data work for everyone 

The challenge 

Land ownership information plays a vital role in housing delivery, but it is often fragmented, difficult to access and challenging to interpret. Through this challenge, innovators explored how better use of data could help identify development opportunities faster, improve transparency, and support more informed decisions about land and property. 

Emerging impact 
  • More than 50+ potential surplus sites identified 
  • Assessment times reduced by up to 90% 
  • Faster identification of development opportunities 
  • Improved access to land insights for non-specialists 
What innovators explored 
1st Planner Ltd.

Optimise is a digital platform that identifies surplus education land for housing; combining estate data, BB103/BB104 assessments and ownership records. Built with Microsoft Fabric, Vercel and Cesium 3D GIS, it ensures DfE Section 77 compliance and generates capital to renew aging school estates.

PARTNERS: Sheffield City Council; City of Wolverhampton Council; Tameside Council; Archdiocese of Birmingham; Archdiocese of Liverpool; Diocese of Shrewsbury; Diverse Academies Trust; Meridian Trust; Respect Collaboration of Schools

Joanna Key, MHCLG’s Director General for Regeneration, Housing and Planning
Kevin Hodder FCIH, Director of Partnerships & Commercial Estate, Aster Group UK

Problem Statement 2: Unlocking small sites potential 

The challenge 

Small sites can play a significant role in meeting housing demand, but planning complexity, upfront costs and development risk often prevent opportunities from progressing. Innovators explored how technology could simplify planning processes, reduce uncertainty and make smaller developments more viable for SME developers and new market entrants. 

Emerging impact 
  • Planning research time reduced by up to 96% 
  • Costs reduced by up to 80% 
  • £22,000 pre-planning savings demonstrated 
  • Up to 4.3 months saved in pre-planning activity 
  • Greater confidence for SME developers 
What innovators explored 
LANDCLAN

LANDCLAN is using AI to accelerate 1000 sites through planning in the next 3 years. Contracting with modular housebuilders who employ prisoners and ex-offenders to build new homes.

PARTNERS: Prisoners Building Homes; Microsoft; ESRI

Xylo

Patch uses AI to help local planning authorities deliver pre-application advice to SME developers up to 90% faster. Co-designed by tech startup Xylo and Leeds City Council, it offers higher quality processes with full officer oversight, reducing planning uncertainty and boosting UK housing delivery.

PARTNERS: Leeds City Council

PlanningHub

PlanningHub automates planning research for small sites including social and community-led housing. Our reports cut time by 96% and costs by 80%, unlocking site potential and making planning faster, clearer, and more accessible.

PARTNERS: Aster Group; Youngman Lovell; Cosy Hauz; Tower Hamlets; Test Valley; Community Land Trust Network; Lichfields

LANDCLAN’s Andy Williams, Belinda Purcell, Prisoners Building Homes
Xylo’s Habs Kim with Benedict Barnett, Leeds City Council
Libra

Libra is an AI legal assistant helping the public and SMEs to understand and resolve legal issues, with support from professionals where advice is needed. Geovation is supporting the Libra team to incorporate planning laws and an AI Planning Assistant within Libra.law.

PARTNERS: LDA Design; Blackberry Consulting; Town Legal; Thrings

RenKap

The Small Site Accelerator, by RenKap and Blocktype, unlocks small site development by streamlining due diligence, surveys, and feasibility design—cutting cost, risk, and time to turn raw sites into de-risked, concept-ready projects.

PARTNERS: London Borough of Lewisham; London Borough of Lambeth; Bristol City Council; Wigan Council

RCKa

We’re using innovative AI tools combined with geospatial analysis to identify and evaluate every unrealised small site housing infill opportunity in the country.

PARTNERS: London Borough of Lewisham; London Borough of Ealing; Blocktype


Problem Statement 3: Providing infrastructure certainty 

The challenge 

Understanding whether existing infrastructure can support new development is critical to housing delivery. This challenge focused on giving planners, developers and infrastructure providers greater visibility of capacity, constraints and future demand, helping reduce risk and support more confident investment decisions. 

Emerging impact 
  • Utility assessments reduced from weeks to days 
  • Transport assessments reduced from months to minutes 
  • Better visibility of infrastructure capacity 
  • Improved evidence for housing decisions 
What innovators explored 
Alchera Technologies

Alchera AI transforms housing transport assessments from months to minutes using AI-powered analysis. It streamlines processes and improves section 106 assessments for developers and councils, creating shared intelligence that accelerates planning approvals and supports housing delivery targets.

PARTNERS: Milton Keynes City Council

Coplug

A geospatial AI module enabling collaborative, data-driven planning by linking housing growth to infrastructure capacity. Built on a unified data model, it delivers location-based insights to accelerate development and support sustainable growth.

PARTNERS: Greater Norwich Growth Board; Canterbury City Council; Runnymede Borough Council

Advanced Infrastructure Technology Ltd

Advanced Infrastructure builds spatial planning tools for Utilities & Local Authorities to co-create Local Area Energy Plans. Our software tools enable local authorities to undertake complex engineering tasks without external consultancy support, unblocking millions of pounds in low carbon projects.

advanced-infrastructure.co.uk

City Science

Development of a digital infrastructure standard, initial platform build, stakeholder testing, and U-Log 1.0 pilot implementation.

cityscience.com

Neuron

Neuron is a digital tool that can quickly assess if existing water, power and sewer infrastructure can support proposed housing developments. By automating building demand calculations and combining them with infrastructure data, the platform can generate clear reports in hours, not months.

neuron.build


Pilot Partners
Guiding the Selection

The judging panel brought together more than 55 experts from MHCLG, Department for Business and Trade, Environment Agency, HM Land Registry, Homes England, 10 Downing Street, local authorities and other institutions to assess submissions against a clear set of criteria: innovation, scalability, feasibility, and potential for impact.


Insights & Articles

The PropTech Innovation Challenge demonstrates how targeted innovation can help tackle some of the most pressing challenges in planning and housing. The breadth and quality of solutions proposed reflect the sector’s appetite for change and readiness to co-create scalable solutions that deliver real impact for the 1.5 million homes mission
Joanna Averley, Chief Planner at the Ministry of Housing, Communities and Local Government

Become part of the Geovation community

The property sector, like all sectors and industries, needs new ideas, practical tools, and ambitious teams willing to work with real users on real barriers.

At its heart, the PropTech Challenge is about open innovation: connecting sectorwide problems with startup solutions, and using location data to create positive impact for people, places, and the economy. Geovation’s role is to help bring that ecosystem together, giving startups access to support, technical expertise, data, and networks that can help ideas move from prototype to impact.

You can also find out more about the Geovation community and accelerator: 

In collaboration with the Ministry of Housing, Communities and Local Government (MHCLG)