Inteligencia de ubicación con IA

De miles de ubicaciones a tu lista corta. En días.

Locations enriched with European public data sources. Analysed by multiple AI models on patterns, potential, and opportunities. For faster, defensible decisions. At scale.

analyzing0coordinates / min

Works with

ClaudeGPTGeminiMistralKadasterBAGBGTNDWPDOKBedrijfsdata.nlOpenStreetMapGoogle MapsClaudeGPTGeminiMistralKadasterBAGBGTNDWPDOKBedrijfsdata.nlOpenStreetMapGoogle Maps

Cómo funciona

Cuatro pasos, reutilizables en cada sector.

Leer la metodología completa
  1. 01

    Define tu conjunto

    Sube candidatos o defínelos por criterios — p. ej. todas las gasolineras en una región, todas las parcelas mayores de 500 m² en una zona de congestión.

  2. 02

    Enriquecemos automáticamente

    Catastro, demografía, tráfico, infraestructura, Street View, datos web — estandarizados por ubicación.

  3. 03

    Varios modelos de IA puntúan en paralelo

    Claude, GPT y Gemini evalúan según tu prompt. El desacuerdo señala ubicaciones que requieren revisión humana.

  4. 04

    Lista corta con justificación

    Una lista ordenada con evidencias por ubicación, lista para permisos, aprobación interna o revisión por stakeholders.

Por qué Locata

Tres cosas que resisten el escrutinio.

01

Insight

Decisions based on better insights.

Three AI models score every location against your criteria. Where they agree, the call is robust; where they diverge, you see exactly which candidates need human judgement — not a black-box rank, but evidence per location.

02

Speed

From thousands of candidates to a shortlist in days.

What takes months by hand runs in a sprint. Fast enough for tender deadlines, council cycles, and competitive markets where the first credible proposal wins.

03

Efficiency

More candidates scored, less work per candidate.

Locata doesn't replace expertise — it scales it. The same pipeline runs across 100 or 10,000 candidates with consistent depth, without growing team headcount linearly.

En vivo · ejecución de scoring

Candidatos para máquinas de retorno · NL

Gas station 0421 · Utrecht943/3
Transfer station 18 · Almere893/3
Roadside hub · Eindhoven873/3
Petrol plaza · Breda712/3
Service area · Zwolle582/3

Vista previa esquemática · solo indicativa

Caso de estudio

Statiegeld Nederland.

De más de 1.000 candidatos en gasolineras y estaciones de trasvase a una lista corta de 100 ubicaciones para máquinas de retorno. Tiempo de prospección reducido de meses a semanas. La metodología se extiende ahora a cada categoría de recogida adyacente.

Candidatos evaluados
1,000+
Tamaño lista corta
~100
Tiempo hasta lista corta
3 semanas
Reducción de prospección
10×

FAQ

Preguntas frecuentes sobre Locata.

  • What is Locata?

    Locata is an AI-powered location intelligence platform that scores thousands of candidate locations against custom criteria. Three frontier models (Claude, GPT, Gemini) run in parallel against European public data — Kadaster, BAG, BGT, BRO, NDW, PDOK — to produce a ranked shortlist with reasoning per location.
  • Who uses Locata?

    Grid operators (Liander, TenneT, Stedin, Enexis) for substation and transformer siting; EV charging operators (Fastned, Allego, Powerdot) for charge point placement and concession bids; Statiegeld Nederland for bulk deposit return machine rollout; municipalities and consultancies for shared mobility hub networks; and retail chains like McDonald's for new-store site selection.
  • How is Locata different from Placer.ai, CARTO, or Esri?

    Locata is purpose-built for European infrastructure rollouts, not US retail foot-traffic analysis. We run multi-model AI scoring instead of single-vendor confidence, integrate natively with Dutch and EU public data sources (Kadaster, BAG, BGT, NDW, PDOK), and ship per-location reasoning that holds up in ACM consultation and municipal council review — not just a heatmap.
  • What data does Locata enrich each location with?

    Cadastral records (Kadaster), buildings and addresses (BAG), large-scale topography (BGT), subsurface registry (BRO), traffic intensity (NDW), national geo-portal (PDOK), CBS demographics, grid operator public capacity indicators, Google Street View, aerial orthophotos, OpenStreetMap, and per-vertical sources like RDW EV density or municipal plankaarten. All enrichment is standardised across candidates, so locations are comparable on the same axes.
  • How fast is a Locata engagement?

    A typical pilot delivers a scored shortlist in two to three weeks from kickoff — week one for prompt definition and data integration, weeks two-three for the scoring run and reasoning review. Ongoing subscriptions support continuous evaluation as new candidates emerge across investment-plan or expansion cycles.
  • How much does Locata cost?

    Pilot engagements start at €15,000 fixed-scope, fixed-price. Ongoing subscriptions start at €2,500/month with quarterly refresh cadence. Enterprise engagements for grid operators and major retail chains are scoped per program — talk to us about scope, integration, and timing.
  • Is Locata GDPR compliant?

    Yes. All processing happens under GDPR with EU data residency. Customer candidate sets, scoring prompts, and outputs are never used to train public AI models — inference only, audit-logged. ISO 27001-aligned processes, available DPA, sub-processor list provided per engagement.
  • Can Locata integrate with our internal GIS?

    Yes. Locata exports to GeoJSON, CSV, PDF, and a REST API. We integrate with ESRI/ArcGIS, FME, internal asset-management systems (Maximo, IFS), and project-portfolio platforms via export or API. Your single source of truth stays where it is — Locata feeds it.

Contacto

¿Qué te gustaría escanear?

Cuéntanos sobre tu despliegue — el conjunto de candidatos, los criterios, la fecha. Respondemos en un día laborable.

Sample run on your data within 5 working days

Residencia en la UE, cumplimiento RGPD por defecto

Sin compromiso, sin contrato hasta piloto

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