SAPIEN X is a sovereign reasoning layer for ISR. It runs onboard drones and ground vehicles and in
mobile command centres, turning raw detections into assessed, geolocated threats ranked for the commander.
From ISR to decision, onboard and on the ground — fully offline, with no third-party dependency.
OnboardFully offlineHardware-agnosticPlug & playHuman in the loop
Fielded AI draws boxes: a class and a confidence score for each point of interest, frame after frame. It
does not relate events, retain what happened earlier in the mission or state what a scene means.
Situational awareness still sits in the operator's head.
[ THE PROBLEM ]
Cognitive overload at the operator.
1:8Operator : drones
A single ISR operator now supervises up to eight drones, often alongside UGVs on the same mission. Every
feed converges on one station; correlating events and holding the mission timeline are done manually, for
the full duration of the mission.
[ THE SOLUTION ]
Scene understanding, onboard.
SAPIEN X runs on the platform. Each frame is re-assessed: every point of interest is identified,
described and assessed for threat, with a confidence score, and the scene is summarised. No dependence on
the datalink.
[ THE SOLUTION ]
Event correlation over time.
Each new point of interest is checked against earlier detections along the route. Movement, persistence
and new activity are kept on a single mission timeline, in timestamped reports per frame and per
platform.
[ THE SOLUTION ]
A ranked picture for the commander.
Reports from every platform are aggregated at the operator station and ranked by threat and confidence —
nothing is discarded. The command centre cross-analyses them into one picture of the area of
operations.
PROBLEMSOLUTION
SCROLL
[ OODA ]
Observe · Orient
Automated
Scene understanding, event correlation and temporal analysis run on the platform and at the station.
Threat, confidence, position and timeline arrive ranked.
→
Decide · Act
Human
The operator reviews ranked threats, decides and acts. Authority stays with the operator and the
command.
The system qualifies. The human decides.
[ TECHNOLOGY ]
Inside the reasoning layer.
01
01 / Scene understanding
What the frame means
Each point of interest is identified, described and assessed for threat, and the scene is summed up with
the points that need attention.
02
02 / Event correlation
Now, linked to before
Every new point of interest is checked against earlier detections along the route and against the other
vehicles of the mission.
03
03 / Temporal analysis
One mission timeline
Change, persistence and appearance are kept across the mission, so a situation is read in its direction,
not as a snapshot.
04
04 / Geolocation
Whatever the navigation
Each point of interest is geolocated with its level of uncertainty, from the vehicle's own navigation
source, including in GPS-denied environments.
05
05 / Deployment
Onboard, station, command
The same core runs in the vehicle, at the operator station and in the command centre. Air-gapped
operation, signed updates, zero egress.
01 / 05
[ DEPLOYMENT ]
One cognitive core. Every vehicle.
01 / Drone · VTOL
Onboard understanding
Scene understanding and collection along the route, on the compute the aircraft already carries, with no
dependence on the link to the ground.
02 / UGV
Ground-level awareness
Ground-level observations correlated with the wider mission as it unfolds.
03 / Mobile command centre
One picture of the AO
Every platform fused into a single, ranked picture of the area of operations, updated through the
mission.
Plug & play. Our solution is hardware-agnostic: it integrates into partner
drones, UGVs and C2 systems, above the detectors already in service.
[ WHY NOW ]
Warfare has changed speed.
01 / Active conflict
Tactics change weekly
Current conflicts produce new tactics faster than doctrine or fielded models can follow. The side that
understands first holds the advantage.
02 / Autonomous mass
Fleets are multiplying
Drones, UGVs and loitering systems are fielded by the thousand. Every new platform is one more feed for a
human to interpret.
03 / Edge-ready stack
Reasoning fits onboard
Embedded compute and a maturing autonomy stack now allow reasoning models to run inside the vehicle,
offline.
The window to build the cognitive layer of autonomous warfare is now.
[ WHY SAPIEN X ]
Built from the problem up.
Problem-first. We start from the operational problem, not from the model.
Weeks, not years. From requirement to field demonstration in weeks. Models adapt to new tactics in
days, not years.
End to end, in-house. Models, edge software and platform integration are built in-house.
Military advisory. We work with a military advisor. Operational feedback shapes every build.
[ TEAM ]
The team.
Ayman Berouaine
Co-founder · CEO & CTO
Built the full stack, end to end. AI, autonomous systems and edge computing.
Aboubakr Benomar
Co-founder · CFO & Operations
Finance, legal, procurement and defence partnerships.
Supported by a military advisor.
[ SHOWCASES ]
Jun 2026Eurosatory · ParisEurosatory Lab · live demonstrations
Oct 2026Marrakech Air ShowMeet the team
Oct 2026Future Forces · PragueMeet the team
Jan 2027IDEX · Abu DhabiMeet the team
Book a briefing.
The system qualifies. The human decides.
A technical briefing with your ISR, C2 or autonomy team: the platforms you operate, where the operator load
sits, and what a reasoning layer changes in the sensor-to-decision chain.