Space software companies
Generate flight evidence without creating a standalone mission organisation. Best for ground-proven autonomy, onboard AI, SDA, middleware and edge applications.
Solutions
FlightLab campaigns are designed around a specific workload, decision trigger and evidence requirement.
Audience pathways
Generate flight evidence without creating a standalone mission organisation. Best for ground-proven autonomy, onboard AI, SDA, middleware and edge applications.
Create shared infrastructure for repeatable commercial technology maturation and independent assessment.
Evaluate third-party software before accepting it into larger mission architectures.
Receive bounded, documented and ground-accepted workloads through a disciplined interface.
Initial workload classes
Decision latency, degraded-mode behaviour, fault response and recovery.
Latency, output stability, utilisation and memory demand.
Throughput, determinism, resource use and anomaly handling.
Downlink avoided, information retained and processing time.
Messaging, isolation, restart behaviour and resource management.
Experiment orchestration, anomaly detection and selective downlink.
The first campaign is intended for bounded, non-operational workloads using approved or synthetic inputs. It will not host classified mission data, live operational targeting functions or unapproved command authority.
The next controlled step
Start with a bounded workload, a defined evidence requirement and a clear decision trigger.