Finding land for a data centre in the UK is a manual nightmare. You need grid capacity data from 6 different DNO portals, flood maps from the Environment Agency, fibre route data, planning records, and the NESO TEC Register. None of these systems talk to each other.

Most developers spend 3+ weeks screening sites before they have a shortlist of 20. That is weeks of copying coordinates between tabs, cross-referencing PDF appendices, and manually scoring sites in spreadsheets that nobody trusts.

The data exists. It is just scattered. Every DNO in the UK publishes substation locations, headroom figures, and queue data through open data portals. The problem is nobody has stitched it together.

A single interactive map that scores every industrial and brownfield parcel in a region from 0 to 100. Greater Manchester has 2,400+ parcels over 2 acres. Each one is scored across 6 dimensions and ranked.

The scoring model weights what actually matters for DC development. Power/grid access (40%), fibre connectivity (20%), flood risk (15%), planning and land use (15%), buildability (5%), and market proximity (5%). The weights come from CBRE, Ramboll, and Cushman & Wakefield frameworks.

Power scoring uses real grid data, not estimates. We pull from UKPN, SPEN, NGED, Northern Powergrid, ENW, and SSEN open data portals. 808 HV substation nodes nationwide, each with headroom and queue pressure figures direct from the source.

Sites near existing 66kV or 132kV infrastructure are worth materially more. Connection via modification of existing HV assets bypasses the standard grid queue, which currently runs 8 to 12 years at congested nodes.

We flag every parcel within 1km of a high-voltage substation. Two tiers: on-site (within 200m, +12 to +15 points on the power score) and adjacent (within 1km, +4 to +6 points). This is the difference between a 5-year and a 12-year connection timeline.

2,727 parcels across the UK have this advantage. Most developers do not know which ones. The data has always been available in DNO portals. It just was not joined up with land parcel boundaries.

63,478 land parcels extracted from OpenStreetMap. Industrial, brownfield, power, aviation, military, transport, extraction, farmland, and commercial land use classes. Filtered to 2+ acres.

134 National Grid substations scored for each parcel. Distance, voltage, headroom, and TEC queue pressure all factor into the power score. The model scores against the best substation within 25km, not just the nearest.

808 HV nodes from 6 DNOs layered on top. UKPN (273 sites), SPEN (100), NGED (240), SSEN (125), Northern Powergrid (53), and ENW (17). Each one geocoded and classified by voltage tier.

Flood, fibre, planning, and buildability scores enriched from Environment Agency, Ofcom, and OSM data. The composite score is a weighted blend of all 6 dimensions. Click any parcel and you see the full breakdown plus a connection cost estimate for 20, 50, and 100MW builds.

Only 47 sites in Greater Manchester score above 70 for a 50MW build. That is out of 2,400+ parcels. The tool surfaces these in seconds.

The top sites cluster around existing grid infrastructure in Trafford Park, Carrington, and east Manchester. This matches where developers are already looking, which validates the model. But several high-scoring sites in Wigan and Bolton are not on anyone's radar yet.

9 sites across the entire UK score above 90. These are the unicorns: large brownfield or industrial parcels with on-site HV infrastructure, low flood risk, fibre within 2km, and favourable planning class. The tool finds them. The spreadsheet does not.