Atlas4D is not just a platform-it's an architectural philosophy for systems that don't just log data, but understand and anticipate movement in space and time.
"Atlas4D doesn't log events-it logs the history of movement."
Static data
Temporal data
Predictive analytics
We work with history, not just "state". No overwrites-versioned intervals (valid_from → valid_to).
STSQL: time + space + motion. Example: "Which drones approached the airport in the last 30 minutes?"
Trajectory analysis, vectors, and predicting positions N minutes ahead. Alerts before the event.
Dozens of specialized services-independent yet coordinated (IoT, AI, Weather, Vision).
Idempotency, Snowflake ID, dual-layer auth. Resilient to restarts and network loss.
Digital twin of reality with LLM/NLQ, vector trajectories and predictive models.
Our spatiotemporal extension for real-time queries
-- Drones near the airport in the last 30 minutes
SELECT *
DURING ["now-30m","now"]
NEAR POINT(42.6977,23.3219)
WITHIN 5km
LIMIT 100;-- Predict position in 10 minutes and check a restricted zone
SELECT entity_id, predicted_position
FROM trajectories
WHERE PREDICT(+10m)
AND INTERSECTS(restricted_zone);Everything for spatiotemporal data analytics
PostGIS, H3 indexes and STSQL for massive real-time spatial data.
TimescaleDB continuous aggregates and materializations for fast dashboards and alerts.
MapLibre GL + MVT/PMTiles-millions of points, smooth render without blocking.
Integration with Ollama LLM: multilingual NLQ, STSQL generation, trajectory forecasts.
IoT, Vision, Radar, Weather, Fusion… each service is a domain expert.
Anomaly detection and predictive alerts with fusion and ML.
Real-time geospatial analytics and visualization
Vehicle positioning with MVT tiles
MapLibre GL with Bulgaria coverage
Filters by time, type, severity and location
H3 hexagonal binning with real-time data
Specialized services working in sync
MapLibre GL + React interface
Routing, auth, rate limiting
JWT authentication
External data ingestion
IoT device processing
Camera feed integration
Natural Language → STSQL
AI video/images
Vectorization
Forecasts
Pattern-based
Correlation
Predictive analysis
Realtime radar
Audio analytics
Orchestration
Merging
H3-indexed
Integrations
WebAssembly
ML inference
Legacy bridge
AI-powered risk assessment combining LSTM trajectory predictions, weather hazards, and anomaly patterns
Trajectory risk score
20 trajectories analyzed
Wind & storm risk
Real-time conditions
~0.1 km² cells
174m edge length
Prediction horizon
Configurable per request
Score: 0.0 - 0.3
Score: 0.3 - 0.7
Score: 0.7 - 1.0
POST /api/threats/forecast// Request { "lat": 42.5048, "lon": 27.4626, "horizon_minutes": 30 } // Response { "threat_level": "medium", "threat_score": 0.313, "trajectory_score": 0.897, "weather_score": 0.255, "confidence": 1.0 }
The best for maximum performance
From safety to smart cities and industry
Drone incursions, anomalous trajectories, predictive alerts.
Airspace, traffic, coordinated incident response.
Load forecasts, coverage optimization.
Tracking, predictive maintenance, logistics.
Routes, collision avoidance, optimal trajectories.
Massive streams, anomalies, smart notifications.
Temporal monitoring and change analysis.
H3 grid, Open-Meteo integrations and correlations.
Open the platform and experience real-time geospatial intelligence