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.
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
Solution
ViableSite replaces fragmented feasibility with a single, delivery-informed conclusion.
We combine geospatial, planning, construction, and market data into one coherent read of the site before design fees, surveys, or consultant teams are engaged. Constraints surface early, and viability is tested against current market conditions.
Where housing is viable, delivery routes are weighed from the outset against site-specific constraints. Where it isn't, alternative revenue is modelled, including Biodiversity Net Gain (BNG) habitat uplift.
Every conclusion is reviewed and validated by a chartered professional — accountability before capital is committed.
Research
The science behind the conclusion
We are building physical-site inference for the built environment — a model that reads any site the way a professional does, and says how sure it is. Calibrated confidence, validated by chartered professionals, on a record that compounds with every assessment.
The science behind it →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. Add the land cost or asking price where you have it, and the assessment begins.
What policy allows. What the land allows.
Planning policy, design codes, and constraint datasets are read together in one place. A proprietary AI pipeline extracts the permitted building parameters from local and national policy: heights, density, setbacks, parking, mix. Alongside it, the physical picture is analysed: flood risk, ecology, conservation designations, utilities risk, access, and topography. Historic decisions and appeal outcomes are weighed to read likely approval patterns. The result is a real-world planning and risk context built before any design assumptions — feasibility that starts from what is likely to be permitted and delivered, not theoretical capacity.
The maximum realistic development capacity.
Policy limits and site constraints combine into a three-dimensional buildable envelope — the largest massing the site can realistically support within planning, physical, and context limits. This is not a concept design; it is a data-driven development boundary used to test viability. Outputs include a likely GIA range, potential unit capacity, and key constraint flags.
Does it stack up before time is spent refining it?
The envelope is tested against current location-specific construction costs, finance rates, and local sales values. If the numbers don't work here, the site is flagged early as a NO-GO for housing, and where housing isn't viable, alternative revenue is modelled, including Biodiversity Net Gain (BNG) scenarios. Where it is viable, the site progresses to professional validation and full financial modelling. No time spent refining schemes that can't 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 needed — the constraints that demand professional judgement: access geometry, overlooking, Rights of Light, planning nuance, achievable GIA. This is the human oversight that makes the conclusion 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, and likely exit routes assessed against site scale and local market conditions.
How the site can realistically be built.
Delivery routes are weighed early, not after value is assumed. The platform assesses access, logistics, and constraints to determine suitable construction pathways (traditional or MMC). Where relevant, sites are matched to appropriate delivery partners by scale, typology, and location. Feasibility linked to real-world delivery from the outset.
Clarity before capital is committed.
Each assessment produces a structured dashboard and report: GO / NO-GO conclusion, capacity and GIA range, margin scenarios, delivery considerations, key risks and constraints, and confidence indicators — all generated within 24 hours, not weeks. Every site you assess builds into your portfolio: one place where each project's dashboard, insights, and constraints sit together, so you can compare opportunities and track your pipeline as it grows. The conclusion is yours to act on, structured for your own decision-making, investors, or lenders.