SITE INTELLIGENCE FOR SMALL HOUSING SITES
Data-Driven Feasibility.
Built for Delivery
We assess site viability using integrated planning, geospatial, construction, and market data, showing whether a site should be developed, likely margins, and viable delivery routes.
All before land is purchased, in under 24 hours.
Cost Metric
90%
Cost Reduction
vs. £5K–£15K traditional
Time Metric
< 24 hrs
Assessment Time
vs. 2–3 weeks typical
Viable Sites
Margin Scenarios
For Viable Housing Sites
Upside, base, and downside modelled
Unviable Sites
BNG Revenue
For Unviable Housing Sites
30-years BNG revenue projection
Problem
Most small housing sites are never assessed
Early-stage feasibility is slow, fragmented, and expensive. For small sites, the cost of understanding risk can rival the margin available.
Some sites are dismissed too early. Others proceed on incomplete assumptions.
ViableSite surfaces risk early, so developers can decide whether a site should proceed before time and capital are committed.
Solution
ViableSite replaces fragmented feasibility with a single, delivery-informed assessment.
ViableSite replaces fragmented feasibility with a single, delivery-informed assessment.
We combine geospatial, planning, construction, and market data into one coherent model before design fees, surveys, or consultant teams are engaged. Constraints are surfaced early. Viability is tested against current market conditions.
Where housing is viable, delivery routes are considered from the outset based on site-specific constraints. Where it is not, alternative revenue potential is modelled, including Biodiversity Net Gain (BNG) habitat uplift.
Every assessment is reviewed and validated by a chartered professional, providing accountability and confidence before capital is committed.
Site Risk is not Hidden, it is Scattered
ViableSite brings risk into one place, starting from a single input
You locate the site. We do the rest.
Enter an address, drop a pin, or draw a boundary. The platform identifies the plot and pulls land registry, title, planning, and geographic data automatically. You provide the land cost or asking price where available. Assessment begins immediately.
What policy allows. What the land allows.
Planning policy, design codes, and constraint datasets are ingested into a single model. A proprietary AI analysis pipeline extracts permitted building parameters from local and national planning policy: heights, density, setbacks, parking, mix requirements, and more. At the same time, environmental and physical datasets are analysed, including flood risk, ecology, conservation designations, utilities risk, access, and topography. Historic planning decisions and appeal outcomes are also assessed to understand likely approval patterns. This creates a real-world planning and risk context before any design assumptions are made. Feasibility starts from what is likely to be permitted and delivered ,not theoretical capacity.
The maximum realistic development capacity.
The maximum realistic development capacity. Inputs from policy and site constraints combine to generate a three-dimensional buildable envelope. It is the largest massing the site can realistically support within planning and physical limits. This is not a concept design. It is a data-driven development boundary used to test viability. Outputs include likely GIA range, potential unit capacity, and key constraint flags.
Does it stack up before time is spent refining it?
The initial envelope is tested against current location-specific construction costs, finance rates, and local sales values. If the numbers do not work at this stage, the site is identified early as a NO-GO for housing. Where housing is not viable, alternative revenue potential can be modelled, including biodiversity net gain (BNG) scenarios. Where viable, the site progresses to professional validation and full modelling. This prevents time and cost being spent refining schemes that cannot work commercially.
Chartered review where it matters.
Every assessment is reviewed by a chartered architect. The AI-generated envelope is checked in context and refined where necessary. This stage addresses constraints that require professional judgement: access geometry, overlooking, Rights of Light, planning nuance, and realistic achievable GIA. This human oversight makes the assessment credible and defensible.
Clear margin scenarios.
The validated scheme produces a full financial appraisal: development costs, revenue projections, profit margins, and sensitivity testing. Upside, base, and downside scenarios are modelled. Likely exit routes are assessed based on site scale and local market conditions. Outputs are structured for internal decision-making, investors, or lenders.
How the site can realistically be built.
Delivery routes are considered early, not after value is assumed. The platform assesses site access, logistics, and constraints to determine suitable construction pathways: traditional or MMC. Where relevant, sites can be matched to appropriate delivery partners based on scale, typology, and location. This links feasibility to real-world delivery from the outset. Outputs are structured for internal decision-making, investors, or lenders.
Clarity before capital is committed.
Each assessment produces a structured dashboard and report including: - GO / NO-GO recommendation - capacity and GIA range - margin scenarios - delivery considerations - key risks and constraints - confidence indicators All generated within 24 hours, not weeks.