From address to map, automatically with AI agents

Many organisations hold large amounts of data where addresses are central: customer registers, properties, service points, substations, delivery addresses or workplaces. But addresses are written for people, not systems, and are hard to analyse geographically.

Disecta now uses AI agents to translate ordinary addresses into exact geographic coordinates automatically. Address-based information can then be shown on a map, analysed geographically and connected to other location data straight away.

From text address to data point

When an address is imported, an agent looks it up in external geodata sources, identifies the right location, generates exact coordinates and stores them in the data model. It runs in the background and handles anything from a single record to very large datasets: an address like Storgatan 12, Umeå becomes an exact position in seconds.

The agents also keep working as data changes. They find new or changed addresses, check that the results are reasonable, and update maps and analyses. No manual workflows, exports to external tools or special scripts are needed.

Existing data, now on the map

With coordinates, data that only lived in tables can be shown on a map, analysed geographically and combined with other location-based information. You can see where customers are concentrated, where service requests arise, which areas carry the highest load, and how to plan resources around them. For many organisations it's the first real overview of how their operations are spread geographically.

Useful in many industries

Grid owners can map facilities, customers and operational data. Service organisations can see where faults are reported and plan resources better. Property owners can link addresses to maps of their portfolio, investments and maintenance, logistics companies can analyse delivery patterns, and the public sector can see services and service points in relation to geography.

As more data sources are connected in Disecta, location becomes even more valuable: coordinates make it possible to combine internal data with demographics, infrastructure, weather or energy data. Organisations see not only what is happening, but where. And often, the place is the key to a better decision.