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Automate large-scale geospatial enrichment from raw coordinates to analysis-ready data.
Rapid is a high-performance GeoEnrichment API built to process extremely large location datasets with speed and precision. It enriches millions of records with spatial attributes derived from vector datasets and raster-based layers, delivering consistent, structured outputs for downstream analysis and system integration.

Analyzes location datasets in real time by intersecting coordinates with dynamic geospatial layers. Rapid identifies matching records and derives spatial attributes, enabling fast downstream processing in time-sensitive operations.

Executes high-volume enrichment processes across millions of records in a single run. Rapid processes large datasets efficiently, supporting batch operations, continuous pipelines, and high-frequency workloads.

Exposes enrichment and analysis capabilities through standardized, integration-ready APIs. Rapid connects directly with internal systems, data pipelines, and external platforms to enable seamless data flow.

Distributes enrichment tasks across multiple compute nodes, enabling high-throughput processing and consistent performance under heavy workloads.

Rapid is built for enterprise deployment with scalable architecture, automated data validation, and support for governed environments. Optional MCP Server integration enables structured interaction with enrichment processes for AI-driven and agent-based use cases.

Validates, normalizes, and structures input data to ensure consistent enrichment results. Rapid produces standardized outputs that integrate reliably with downstream systems.
High volumes of location data are processed quickly.
Geospatial enrichment works within current platforms and pipelines
Enrichment results are consistent and reliable, reducing errors and rework.
Consistent processing speed and reliability as data volumes and workload demands increase.
Flat rate pricing
Pure cloud-native API, no infra
5M+ requests/second/node
Unlimited volume, peak demand
API-first, short setup
Opaque enterprise licenses
Hybrid/on-prem, complex setup
Slower batch processing
Usage caps, overprovisioning costs
Lengthy migrations, vendor lock-in
““Blazing fast, cost-efficient, and easy to integrate, RAPID empowers our renewal processes and risk modeling. Fully automated geoprocessing and geo-enrichment of smaller books or larger portfolios are no longer an issue. We have reduced the amount of human intervention by more than 300%. From Core Insurance Systems to Scenario Modelling, all are connected and enabled within a short implementation phase.”
Transform large-scale datasets into analysis-ready outputs with high-performance processing.