01
Mission design tied to measurable evidence
Start with coverage, resolution, positioning and detection requirements rather than platform specifications alone.
Industry / AS
Aerial intelligence designed around the decision made after the flight.
A commercial drone is valuable only when its route, sensing, positioning and data pipeline produce evidence that an asset or operations team can trust and act upon.
Operating context
Technology has to fit the institution around it.
A commercial drone is valuable only when its route, sensing, positioning and data pipeline produce evidence that an asset or operations team can trust and act upon.
The complete system spans aircraft integration, mission software, edge inference, geospatial processing, fleet operations and the assurance required for repeatable commercial deployment.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Repeatable fleet operations
Control configuration, maintenance, mission approval, telemetry and data custody across every aircraft.
03
Aircraft and analytics verified as one system
Correlate structural, vibration, positioning and sensor behaviour with downstream evidence quality.
Engineering contribution
Where Root Digit contributes.
Each engagement is scoped around a real operating decision, a controlled technical boundary and evidence that leadership can review.
AS.1
Aerial autonomy and mission software
Planning, navigation, payload control and supervised autonomy for commercial missions.
- Mission and route planning
- Precision positioning
- Supervised autonomous operation
AS.2
Inspection and geospatial intelligence
Pipelines converting optical, thermal and other payload data into traceable findings.
- Photogrammetry and mapping
- Defect and anomaly detection
- Evidence review workflows
AS.3
Fleet operations platforms
Controlled software for aircraft, pilot, maintenance and mission records.
- Fleet and maintenance records
- Configuration and release control
- Operational dashboards
AS.4
Flight-system engineering
Integrated analysis and verification across airframe, propulsion, payload and software.
- Load and vibration analysis
- Power and endurance modelling
- Ground and flight verification
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Airworthiness evidence
Load, vibration, fatigue and configuration evidence is linked to the operating envelope.
02
Operational authority
Mission approval, intervention and abort decisions remain explicit and attributable.
03
Data provenance
Aircraft, payload, calibration, position and processing version remain attached to findings.
04
Fleet maintenance
Life-limited parts, incidents, repairs and release-to-service decisions remain controlled.
Practical entry points
Start with one decision that matters.
01
Define one inspection mission
Translate an asset decision into route, sensor, resolution and positioning requirements.
02
Build one evidence pipeline
Connect flight data to reviewed, locatable and auditable findings.
03
Qualify one aircraft configuration
Structure analysis and test evidence around a documented commercial operating envelope.
Continue exploring
Related capabilities and evidence.
Industry conversation