Littoral Data turns public geospatial intelligence into structured infrastructure datasets — layering satellite imagery, open infrastructure records, place data, and LLM-assisted classification to map ports, terminals, quays, storage tanks, airports, and heliports.
Analysis-ready data products for maritime, energy, logistics, insurance, and geospatial intelligence teams.
The first Littoral Data product focuses on commercially relevant port infrastructure, organized as a structured geospatial layer for maritime intelligence workflows.
Ports, terminals and quay-level infrastructure in one geospatial view.
Littoral Data provides structured datasets with stable identifiers, categories, hierarchy, evidence fields, and geofenced polygons where they matter most.
A global port database designed for maritime analytics, AIS enrichment, congestion intelligence, infrastructure mapping, and due diligence on nearby industrial assets.
Mapped storage tanks and fuel infrastructure for energy intelligence, bunkering analysis, industrial exposure, and logistics use cases.
Broad airport and heliport specifications for logistics, offshore operations, emergency response, infrastructure analysis, and regional accessibility mapping.
Littoral Data is built from a repeatable data-mining pipeline: start from public geospatial signals, cut candidate areas into satellite tiles, ask an LLM to identify infrastructure patterns, then enrich the resulting points with administrative and open-map context.
We begin with public geospatial inputs and open infrastructure indicators: coordinates, map features, place records, port and industrial tags, roads, wharfs, quays, storage tanks, substations, quarries, and nearby named sites.
Candidate locations are converted into standardized imagery tiles so each location can be reviewed consistently, one tile at a time, with preserved coordinates, bounds, imagery metadata, and processing history.
The model reviews each tile for large ports, terminals, shipyards, quay structures, storage and industrial infrastructure, returning structured labels and pixel coordinates instead of free-form prose.
Positive detections are converted back into latitude/longitude and enriched with OSM, reverse geocoding, infrastructure proximity, administrative attribution, named roads, operators, brands, and nearby industrial signals.
A human reviewer with maritime and infrastructure knowledge checks the evidence, catches false positives, interprets edge cases, and turns machine detections into commercially usable intelligence.
The output is not a screenshot. It is a structured evidence layer.
Every record is designed to carry both a location and the public-intelligence context around it, so users can filter, audit, prioritize, and integrate it into their own workflows.
Infrastructure intelligence starts with knowing exactly where things are.
Ports are not just points. Terminals are not quays. Tanks, airfields and industrial sites only become useful when they are mapped, structured, categorized and connected.Designed to move through large candidate sets systematically, including the long tail of commercially relevant infrastructure.
Designed to connect ports, tanks, terminals, airfields, industrial sites, energy assets and adjacent public-map signals.
Packaged for teams that need usable geospatial data quickly, with the pipeline preserving progress and evidence as it scales.
Littoral Data combines maritime intelligence experience with customer-focused SaaS and logistics execution.
7 years of experience in maritime intelligence, building structured data products for operational and commercial analysis.
5 years of SaaS and logistics experience, supporting marketing, customer conversations, and practical adoption of complex data products.
Littoral Data supports teams building products and analysis around the physical infrastructure behind global trade, energy, transport, and maritime operations.
Use port, terminal and quay geofences to enrich AIS data and identify where vessel activity actually happens.
Connect maritime infrastructure with nearby fuel, tank farms, oil terminals, bunkering zones and industrial assets for richer energy and logistics analysis.
Support risk, insurance and monitoring workflows with structured layers of commercially relevant infrastructure and public-source evidence fields.
Request a demo to discuss sample coverage, delivery formats, data structure, and early-access use cases for Littoral Data.