Defense
AI performance that holds in contested and degraded field conditions.
From collected data to deployed capability — validated, repeatable, and ready for operational use.
Operational Reality
Defense programs operate in environments where connectivity degrades, sensing conditions change, and hardware varies across platforms. AI and analytics must continue functioning when centralized compute is unavailable.
Programs require:
- Detection and tracking performance that remains reliable in contested and cluttered field conditions.
- A repeatable path from collected data to deployed capability.
- Evidence and outputs that teams can brief and defend.
- Workflows that function when bandwidth is limited and centralized compute is not available.
Structured Path to Deployment
Defense programs operate in environments where connectivity degrades, sensing conditions change, and hardware varies across platforms. AI and analytics must continue functioning when centralized compute is unavailable.
Define mission goals and
constraints.
Structure scenarios and data
packages.
Rehearse and validate
performance.
Deploy to edge
hardware.
Capture results and improve.
Each run produces measurable outputs that inform the next iteration.
Field-Ready Workflows
Operations require systems that continue functioning under:
Bandwidth
limitations
GPS-denied
environments
Mixed hardware
platforms
Evolving operational
conditions
Workflows must remain stable, measurable, and controllable in these conditions.
Program Confidence
Defense teams need:
- Detection and tracking performance that holds up across repeated runs.
- Validation before live deployment.
- Outputs that can be reviewed, audited, and briefed.
- Reduced dependence on centralized compute and persistent connectivity.
