We turn satellite data into connected intelligence, helping organisations understand events, monitor activity and make informed decisions.
Real time signal and data processing. Millisecond queries. On standard computing hardware.
Intelligence you can use. A platform you can build on.Process raw signals and data from multiple sources in real time. Query prepared, connected data in milliseconds and use the results in your existing tools, algorithms and applications.
We make your data intelligent. Put it to work on our platform, add intelligence ready datasets and process live signals.
For organisations that need fast answers from satellite data and other complex datasets.
We prepare your data and its relationships for millisecond queries. Analyse connected datasets and run configured workflows with your existing tools and algorithms.
Managed services can cover integration, workflow setup, operation, updates and support, as agreed.
Explore the platformPurchase or subscribe to intelligence ready satellite datasets, prepared with relationships between signals, locations, assets and events. Use them on our platform alongside your own data.
Coverage, licensing and updates are agreed per dataset.
Process incoming raw data and signals through configured workflows and specialist algorithms. Connect results with historical observations and operational information.
Use your own feeds or supported provider sources.
Processing depends on the algorithm and workload. Feed availability, data rights and coverage are agreed per source.
Partner with Falcon Spectra. Bring your data, algorithms or domain expertise to new intelligence applications.
Explore connected data and live updates. Query prepared data in milliseconds.
Which insured sites need flood review in Valencia?
Two review candidates · USD 4.2m insured. Select a site to inspect its evidence.
Contains modified Copernicus Sentinel data (2024), processed by ESA. Road layer: © OpenStreetMap. Source image · CC BY-SA 3.0 IGO. Resized and compressed as WebP; no analytical overlays added. Image adaptation distributed under the same licence. No ESA endorsement implied.
Ask your data or describe what you want to build…
Illustrative demo · sample insurance data
Multiple sources. One connected picture.
Select a phrase to stop automatic progression and explore that stage. Use the arrow keys to move between stages.
Approximate location.
Vessel identity unconfirmed.
SAR: Umbra Lab, Inc. · Jebel Ali · 9 January 2025. CC BY 4.0 · Display resized and compressed; illustrative overlays added.
Locate a reported RF emission near the port.
Static view for reduced motion. Select a phrase to explore each stage.
Supporting satellite enabled situational awareness.
Process raw signals and data from multiple sources in real time. Connect satellite observations with other sensor feeds and operational records to investigate activity and support monitoring. Sources, processing workloads and integrations are configured for each deployment.
Our semantic layer, built on an ontology, connects information across sources by meaning, location, time and relationships. This lets you query satellite observations, geospatial information and your own records together.
We prepare your sources and map relationships across live feeds, signal observations and your own records.
We store the connected information in a graph database, ready for rapid analysis through our high performance query engine.
Process incoming signals and data through configured workflows and specialist algorithms. Investigate observations, monitor activity and use the results in your existing tools.
Source changes may require updates. Processing time depends on the algorithm and workload; satellite collection, provider delivery and network transfer have their own timings.
Falcon Spectra defines an ontology layer for supported data, including signal observations, and maps the agreed information into RDF triples.
The RDF data is stored and indexed in a triple store, a type of graph database designed for RDF data. A SPARQL engine queries this connected information.
Configured workflows apply specialist algorithms and connect their results for analysis. Ontology mapping provides structure; it does not by itself execute those algorithms.
Queries over mapped and stored data can execute in milliseconds. Ingestion and algorithm execution have separate timings; processing latency depends on the algorithm and workload. Millisecond signal processing timings remain under testing.
Support includes raster data at scale, satellite imagery, RF and SAR data, GPS pings, aircraft ADS-B, maritime tracking and enterprise records. Source formats, mappings and processing workflows are confirmed for each implementation.
Use the platform directly or as a data and processing backend for analytics, specialist algorithms, applications and optional AI models. We agree the interfaces and integrations for each deployment.
Query relationships across large, connected datasets in milliseconds, bringing satellite observations, geospatial information and your own data into the same analysis. Query times depend on the workload.
Ingestion and algorithm execution have separate, timings that depend on the workload. Millisecond signal processing timings remain under testing. Satellite collection, provider delivery and result transfer are excluded from these timings.
Our technology foundation ran a historical geospatial query in 42 seconds, compared with 6.4 hours using PostgreSQL with PostGIS.
*Historical geospatial query benchmark, rounded to 500×. Performance varies by workload. This is not a raw signal benchmark and does not measure RF/SAR processing or the full delivery workflow.
Supported workloads can run on a single consumer computer without a dedicated GPU or computing cluster. Your specialist algorithms may have different hardware requirements.
Falcon Spectra is a UAE based space venture bringing together technologies from around the world to deliver intelligence from satellite data.
Our platform brings real time signal and data processing and rapid queries together with operational context. We prepare and connect the data, so organisations can focus on investigating observations, monitoring activity and making informed decisions.
“Spectra” is the plural of “spectrum”, a range of light, frequencies or signals. For us, it also represents the breadth of information we connect. From satellite imagery and radio signals to movement and business data, we bring different sources together to reveal relationships and deliver useful intelligence.
We are exploring how the same foundation can support future space missions, onboard data processing and autonomous operations.
Cofounder & Chief Executive Officer
Ahmad leads Falcon Spectra’s vision, technology strategy and commercial development. An aerospace engineer and deep technology entrepreneur, he brings more than 15 years of flight operations engineering experience at Emirates. He combines domain expertise with experience in AI and data technologies to translate industry needs into platform capabilities, guide technology integration and build strategic partnerships for growth.
Cofounder & Chief Technology Officer
Adrian leads Falcon Spectra’s technical architecture, engineering and platform development. A cofounder and director of Switzerland’s Zazuko, he brings more than two decades of experience in linked data, knowledge management and open source software. He combines software and security engineering expertise to translate the company’s technology direction into a powerful platform supporting intelligence and AI applications.
Data you bring remains your property. Third party datasets remain subject to their applicable licences.
Cloud, dedicated server and on premises arrangements depend on the agreed deployment. Operational responsibilities, any Falcon access, retention, deletion and export are agreed for your environment.
Discuss your data requirementsTell us what you need to monitor, process or investigate. Let’s discuss the platform, datasets and managed services that fit your operations.
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