Turn complex data into answers you can act on.
Connect satellite observations, geospatial information and your own records so you can investigate them together. Ask complex questions across large datasets and get answers in milliseconds, depending on the query and workload.
We prepare the data and its relationships around your requirements, ready for use in your existing tools and applications.
Find answers faster.
Query connected datasets to compare observations, investigate activity and identify relationships across locations and time.
Understand how information connects.
Our semantic layer, built on an ontology, connects information by meaning, location, time and relationships. Investigate how observations relate to assets, events and operational records.
Keep incoming information connected.
Configured workflows apply specialist algorithms to supported data and signals, then connect the results with your other information. Processing time depends on the source, algorithm and workload.
Put the results to work.
Use Falcon Spectra as the data foundation for your applications, analytics, specialist algorithms and AI systems. Integration and deployment arrangements are agreed for your environment.
Supporting satellite enabled situational awareness.
Connect satellite observations with other sensor feeds and operational records to investigate activity and support monitoring.
A potential maritime workflow compares SAR observations, AIS vessel reports and RF observations by location and time to identify activity requiring further investigation. Source compatibility, processing and performance are validated for each implementation.
Choose the support you need.
Subscribe to the platform, add available datasets prepared for analysis, or use managed services for integration, workflow setup and operation.
Your data remains yours. External datasets retain their applicable licensing terms.
Let’s evaluate your data.
Tell us what information you work with and the questions you need to answer. We can discuss a technical evaluation using a representative sample and agreed success measures.
Discuss a technical evaluation