Spanish GIS SME building spatial data science platforms; coordinator of a EUR 1.8M EU grant to democratize geographic analytics for business users.
Operating under the brand Geographica (geographica.gs), this Seville-based SME builds spatial data science platforms and analytics tools that make geographic information accessible to business users — not just GIS specialists. Their core offering turns location data into operational intelligence: routing, logistics optimization, territory analysis, and spatial visualization. In their H2020 coordinator role on NextGen.DO, they developed a next-generation spatial data platform aimed at democratizing access to spatial data science, suggesting a product-led business model. Their participation in the NeEDS network also demonstrates depth in mathematical optimization, business analytics, and network science — indicating they sit at the intersection of GIS and advanced data science rather than being a traditional cartography shop.
NextGen.DO (coordinator, EUR 1.84M) explicitly targeted a next-generation spatial data platform, while NeEDS involvement in visualization and data science reinforces platform-building as their core competency.
NeEDS project keywords include data science, business analytics, and network science, positioning them as contributors to applied analytical methods, not just mapping software.
NeEDS listed mathematical optimization modeling, mixed integer nonlinear optimization, and network science as their contribution areas within a European data scientist exchange network.
NextGen.DO's stated goal — democratizing access to spatial data science — suggests a product direction toward making advanced geospatial analysis available to non-expert users.
Their earliest documented H2020 engagement (NeEDS, 2019) shows a methodologically rich profile: mathematical optimization, mixed integer modeling, network science, and visualization — skills more typical of an analytics research unit than a GIS vendor. Their subsequent and much larger project (NextGen.DO, 2020) shifted emphasis toward platform development and market access, with the central concept being democratization of spatial data science for broader user adoption. The trajectory suggests a deliberate move from deep technical contribution in academic research networks toward building a commercial spatial analytics platform with mass-market ambitions.
They are moving from niche analytical contributor toward spatial data platform provider — a company building a product, not just delivering consultancy — which makes them an interesting commercial partner rather than a pure research collaborator.
With only two projects, they have demonstrated both roles: they joined NeEDS as a partner (minimal funding, staff exchange scheme) and led NextGen.DO as coordinator, managing a EUR 1.84M SME Phase 2 grant — a demanding role that requires strong project management and commercial delivery capacity. Their 14 partners across 7 countries on just two projects suggests they build broad but not deep consortia. The combination of an MSCA-RISE participation and an SME Instrument Phase 2 coordinatorship indicates a team that engages both with academia and with market-oriented innovation programs.
They have worked with 14 unique partners spread across 7 countries, a reasonably wide footprint for an SME with only 2 projects. Their network spans both research institutions (via the MSCA-RISE exchange) and innovation-oriented partners (via the SME Instrument), giving them connections in both academic and commercial European ecosystems.
Unlike generic GIS consultancies, this company has demonstrated the ability to coordinate a large EU innovation grant (SME Phase 2) focused on spatial data platform development — a rare combination of technical depth, product vision, and project management capability in one SME. Their mathematical optimization background sets them apart from purely map-centric GIS firms, making them relevant to logistics, supply chain, and territory planning use cases where spatial analysis meets operational research. For consortium builders, they bring a commercially viable spatial data product rather than just research know-how, which is valuable when projects need a route to market.
