Geographic data works when the places line up.

The join problem

Useful geographic data should not require a full GIS rebuild every time.

Public and institutional data lives across separate portals, file formats, geographies, time ranges, update cadences, and coding systems. The facts may be available, but the working surface is fragmented.

DaedalMap turns those separate location references into loc_id, a shared place key. Bring coordinates, place names, admin codes, postal references, or boundaries; get back rows that can join against maintained packs, geometry, maps, reports, and agent tools.

Start with a small preview. When the matches make sense, MCP, API, and bulk tools scale the same conversion path to larger datasets and recurring pipelines.

Shared geography

Every connected dataset makes the rest more useful.

Governments, researchers, agencies, utilities, and local teams all define places differently. DaedalMap does not force those systems into one universal hierarchy. It gives each reference domain a bridge into a shared graph.

Once a domain is connected, it becomes interoperable with the domains already connected. A county, watershed, postal area, alert polygon, and live event footprint can all describe the same place without losing their own meaning.

The map is the most visible interface, but the durable asset is the web of relationships: identity, geometry, source provenance, history, and current state tied to places.

Once your rows have loc_ids, you can download compatible data, ask source-bound questions through Research MCP, inspect patterns in Research or Explore maps, watch live loc_id-keyed feeds in Ops, or build your own workflow with API and MCP calls.