The planet is instrumented as never before. Satellites revisit every point on Earth daily; ground sensors number in the hundreds of millions; hyperspectral imagers generate more environmental signal in a week than all of human science collected in the twentieth century. The bottleneck is no longer data — it is the capacity to turn that torrent of raw observation into decisions that protect people and ecosystems in time to matter.
Earth Observation provides the eyes. World Models provide the understanding. Physical AI provides the response. A dashboard that shows today’s PM₂.₅ map is observation. A model that attributes each microgram to a traceable source and simulates the counterfactual if that source were controlled is a World Model. A system that scores tomorrow’s escalation probability and routes the intervention — that is Physical AI. The three layers are distinct: collapsing them produces tools that sense without understanding, or predict without physical grounding.
No single sensor tells the full story. CAMS gives column-integrated aerosol; in-situ monitors give surface concentration; embassy sensors give calibration anchors; community networks give spatial density. Fusing these — handling different cadences, projection systems, quality flags and trust levels — is where most of the engineering lives, and where most of the value is created.
The same principle applies across every domain. Cross-network seismic deduplication, per-ward air quality attribution, multi-source ocean-colour anomaly: in each case, the model only works because the input is coherent.
The platform fuses satellite scenes, ground observations, models, and field context into a shared evidence pipeline across five products. A new mission, archive, sensor network, research model, cloud capability, or response workflow can be evaluated against live operational questions: smoke and health, surface change, ocean stress, crop risk, and urban change. Current scene integrations demonstrate the path; they do not define its limit.
Primary hyperspectral workhorse. Feeds HOT-AOD calibration for AirWatch, burn and NDVI detection for AgroWatch, scene pairs for EarthWatch, and spectral indices for UrbanWatch.
Co-mission on the same HS platform as Hammer. Doubles revisit cadence; scene pairs enable multi-temporal change detection and agricultural stress attribution.
Third independent HS pass over farming belts and city corridors. Narrows the revisit window from days toward hours; scenes catalogued and analysis pipeline active.
152 scenes catalogued through 2025. Provides spectral gap-fill when other missions are in eclipse or manoeuvre; awaiting expanded collection permissions.
718 scenes catalogued through 2025. Ocean-colour pipeline ready — Chl-a, CDOM, suspended matter for Indian Ocean corridors — awaiting renewed access to resume ingestion.
The Balearic Islands’ first satellite, co-financed by the EU and operated by Open Cosmos. Sub-30-minute revisit over the Mediterranean for wildfire, flood, and land-use response.
First of seven microsatellites forming Greece’s national constellation, backed by a €130 M ESA/EU programme. Sovereign-grade optical imaging at sub-30-minute cadence; six further Hyperion satellites are planned.
We are looking for mission operators, research teams, data stewards, sensor networks, cloud and AI builders, funders, and environmental-response organisations that want to test whether their capability improves a real decision. A faster revisit can change wildfire response; a better calibration source can change an air-quality intervention; a trusted field network can turn a model signal into a verified outcome. We do not imply partnerships we have not earned. We offer a live, inspectable platform on which to build them.
Each additional mission reduces the mean revisit gap over every monitored region. The architecture is designed so that new collection permissions are the only integration work required: the shared L1C COG pipeline ingests, analyses and routes scenes into the relevant World Model feature matrices automatically — strengthening all five domains simultaneously from a single data flow.
| CAMS PM₂.₅ | — | pending | |
| HOT-AOD haze | — | calibrating | |
| Canopy moisture (SWIR) | — | backfill pending | |
| NDRE red edge | — | backfill pending |
| Domain | Satellites | Analysis | Count | Status |
|---|---|---|---|---|
| AirWatch | Hammer · Acc-1 | HOT-AOD calibrationHOT haze index in PM₂.₅ model (production); CAMS aerosol 3% feature weight | — | ● live |
| EarthWatch | Hammer · Acc-1 | Surface changePre/post scene-pair metrics; 2,641 events proximate to OC footprints; expanding with collection permissions | 19 | ◑ sparse |
| SeaWatch | Hammer · Mantis* | Water qualityMantis ocean-colour pipeline built · Sentinel-3 OLCI ingestion active · awaiting expanded Mantis permissions | 2 | ◑ sparse |
| UrbanWatch | Hammer · Acc-1 | Urban spectralScene catalogue indexing cities; per-scene spectral analysis growing | 0 | ◑ sparse |
| AgroWatch | Hammer · Acc-1 · Platero | Burn fraction + NDVIBurn fraction + NDRE wired into crop-stress model; three active missions | 0 | ↑ growing |
Fusion of satellite retrievals, embassy monitoring, community sensors and boundary-layer meteorology. LightGBM ensemble with IDW-weighted spatial lag features for cross-ward PM₂.₅ propagation. Counterfactual source attribution quantifies each traffic, industrial and biomass source for GRAP policy evidence. Open Cosmos HOT-AOD calibrates satellite aerosol against ground truth in real time.
Cross-network deduplication of USGS, EMSC, GEOFON, GeoNet and AusPass into a coherent global catalog. World Model: ordinal classifier trained on Benioff strain, Omori-Utsu aftershock decay, b-value drift and sequence clustering — calibrated escalation probabilities across 71 tectonic zones. Open Cosmos scene pairs bracket significant events for surface-change detection.
Real-time SST, chlorophyll-a, wave height and storm surge across 18 Indian Ocean port cities. Chlorophyll via multispectral band-ratio with trophic-state classification; reef thermal stress scored against bleaching thresholds. Integrates satellite ocean colour and global current models. Cyclone track, surge and wind-wave forecasts provide 72-hour coastal hazard windows.
Open Cosmos Hammer and Accenture-1 passes mapped onto urban change-detection: construction onset, green-cover loss, surface water, heat-island intensity and water-quality anomaly. Each pass produces a scene record with band signatures, cloud cover and model-derived spectral indices. Heat Intelligence synthesises orbital thermal data with live meteorology for compound risk scoring.
NDVI and EVI tracked weekly across 700+ districts in six farming belts. World Model: disease classifier trained on spectral signatures, canopy wetness and ENSO phase — flags blast, blight and rust against each district’s 3-year seasonal baseline. Open Cosmos hyperspectral passes add burn-fraction mapping, canopy stress and vegetation moisture indices.
Physics-based fire intelligence for the Iberian Peninsula. Live observations — geostationary thermal detections, multispectral reflectance, atmospheric reanalysis, fire weather indices and fuel moisture — fused onto a 10 m terrain grid for stochastic fire-front propagation. Probabilistic spread envelopes calibrated against historical fire scars; all sources updated every 1–15 minutes.
Six physical domains fused from 12+ live data sources — air quality, seismic activity, satellite imagery, ocean anomalies, crop health, and compound risk — delivered through a single consistent REST API. Free tier, no credit card. One key unlocks every domain.
Ready-to-use agent skills