Official release announcements, product updates, and deep dives into UK property, planning, and location intelligence data.
Over the last two months, the Postcodewise platform has undergone its most expansive transformation to date. Spanning more than 35 rapid releases (v2.13 through v2.49), we have introduced Map Studio, full official NaPTAN transit integration, Conversational Location Intelligence, sub-10ms Typesense search, Defra noise contours, BGS ground hazards, and our official Model Context Protocol (MCP) server. Here is an exhaustive breakdown of everything we have built.
Say goodbye to digging through dozens of disjointed data tables. With Postcodewise Conversational AI, you can ask complex questions about UK postcodes in plain English—from family suitability and school catchments to rental yield comparisons—and receive instant, verified answers grounded in official open government data.
A family evaluating schools needs completely different insights than a buy-to-let investor assessing gross yields or a surveyor checking subsidence hazards. Introducing Audience Lenses: four purpose-built analytical perspectives available across Postcodes, Districts, Wards, Comparisons, and Guides.
What you cannot see during a ten-minute property viewing can cost you tens of thousands of pounds down the line. In Postcodewise v2.36, we have integrated official Defra noise mapping, British Geological Survey (BGS) geohazard assessments, and postcode rental yields directly into our reports.
Discover what is being built in your neighbourhood before it happens. Postcodewise v2.35 delivers full district outcode reports with Greater London Authority (GLA) Planning London Datahub integration, universal statutory council portal resolvers, and high-resolution local GeoJSON boundary maps.
Searching across 1.8 million active UK postcodes and thousands of towns used to take hundreds of milliseconds. With our new Typesense SearchSense architecture, location autocomplete queries now execute in under 10 milliseconds with instant keyboard navigation and mobile-first preview cards.
We are thrilled to announce the official Postcodewise Model Context Protocol (MCP) server. Developers and AI practitioners can now connect Claude Desktop, Cursor, and autonomous LLM agents directly to our UK location intelligence engine for automated property research, site scoring, and due diligence.
Explore school ratings, crime trends, planning applications, and ground hazards across all 1.8 million UK postcodes.
