Maritime Data & APIs

Single live positions endpoint delivering real-time vessel location, speed, course, heading, destination, ETA, draught, and navigational status
Combined terrestrial, roaming, and satellite AIS in one data layer — reducing coverage gaps across ports, coastlines, congested trade lanes, and open ocean with no feed stitching required
Filter by vessel type, flag, DWT, speed, name, and geography to retrieve exactly the data your use case needs
Full historical AIS positions to reconstruct past tracks, backtest models, and build defensible movement timelines

Vessel arrivals, departures, dockings, and undockings at port and berth level — supporting logistics planning, market analysis, and customer visibility workflows
Operational shift detection across ETA updates, destination changes, draught adjustments, course changes, and status transitions — knowing when vessel behaviour has changed, not just where a vessel is
Historical port activity, dwell times, and movement patterns to surface trends and build defensible operational baselines
Event data combined with AIS, vessel, and port context to build applications that explain what movements mean

Realistic vessel routes, distances, and ETAs modelled on actual operating conditions — not straight-line estimates — so applications reflect how vessels move in practice
Routing and ETA outputs available through dedicated APIs, keeping predictive logic cleanly separated from live AIS, historical movement, and static vessel records
Anticipate vessel destinations before arrival — giving logistics, port operations, trading, and customer visibility teams earlier signal to act on
Connect current position, historical behaviour, projected route, and expected arrival to show the full voyage picture and its downstream operational impact

Query vessel particulars through GraphQL — retrieving identifiers, type, flag, class, dimensions, draught, capacity, build details, and shipyard information with exact field selection
Access ownership and management context including registered owner, commercial manager, associated companies, and historical company associations for due diligence and compliance workflows
Keep vessel metadata separate from AIS positions — combining movement data with vessel characteristics and ownership context without conflating static records with live tracking
Flexible field selection and filtering for due diligence tools, risk workflows, fleet analytics, and customer-facing maritime products

REST APIs for on-demand access to AIS positions, historical positions, routes, events, and other maritime datasets — integrating maritime intelligence into applications, dashboards, and workflows
GraphQL for vessel ownership and particulars — requesting exactly the fields needed without pulling unnecessary data into your systems
Kafka or NMEA streams for real-time ingestion — decoded JSON through Kafka or raw AIS messages through NMEA, fitting the infrastructure your team already runs
Snowflake, LiveDB, S3, FTP, and custom extracts for data teams bringing maritime datasets into BI tools, data lakes, GIS systems, and internal models