Meridian

Changing how UK families approach buying and renting homes by removing the guesswork around oversubscribed school catchments. Combines local authority admissions data, birth rates, and housing stock dynamics with property search so parents can evaluate homes with real clarity before making a major financial move. Existing property portals answer 'how close is this house to a school?' but parents are asking 'if I buy this house, how confident should I be that my child will get a place?' School admissions depend on historical intake distances, changing demand, admissions policies, and local competition, not a simple radius. The information is fragmented across council data, birth rates, housing stock estimates, admissions documents, and informal parent networks. School catchment decisions are not a property search problem; they are an uncertainty problem. Helen is living this problem firsthand as a London parent with two young children. To make her own move work, she manually stitched together multiple disparate datasets. Previously in PE, she led an ML-driven B2C cross-sell program end-to-end, combining complex consumer datasets into predictive models for high-stakes decisions. That exact execution muscle of building tools from fragmented data directly applies to what she's building now. Parents are already doing the work manually, building their own spreadsheets to map schools, addresses, and admission factors because existing property portals don't answer the question they actually care about. The data exists but is fragmented across councils, and families without established local networks have no way to access reliable information. The gap between what portals show and what families need is widening as school oversubscription increases.