01
A controlled software-defined vehicle platform
Separate vehicle functions, shared services and cloud interfaces under versioned contracts.
Industry / AM
Connecting vehicle software, production evidence and fleet operations.
Automotive programmes now span embedded software, cloud services, manufacturing, charging, fleet operations and security across a product lifecycle measured in years.
Operating context
Technology has to fit the institution around it.
Automotive programmes now span embedded software, cloud services, manufacturing, charging, fleet operations and security across a product lifecycle measured in years.
The engineering task is to make these layers changeable without making vehicle behaviour, configuration or operational evidence ambiguous.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Manufacturing quality connected to fleet evidence
Trace configuration, component and inspection evidence into field reliability and service decisions.
03
Mobility services that remain operationally credible
Build charging, telematics and fleet workflows around real availability, exceptions and recovery.
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.
AM.1
Vehicle and edge software
Deterministic and connected software across embedded, edge and cloud boundaries.
- Embedded and edge services
- Vehicle-cloud APIs
- Secure update orchestration
AM.2
Manufacturing and quality systems
Traceable production, inspection and configuration records.
- Machine vision
- End-of-line workflows
- Digital thread integration
AM.3
Fleet and mobility platforms
Operational systems for vehicles, drivers, charging and service events.
- Telematics ingestion
- Fleet control views
- Charging and route workflows
AM.4
Simulation and autonomy tooling
Data, scenario and evaluation infrastructure for assisted and autonomous functions.
- Scenario management
- Simulation pipelines
- Model and sensor evaluation
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Configuration identity
Software, hardware and calibration state remain attributable for every vehicle.
02
Safe update
Signed, staged and recoverable releases protect the operational fleet.
03
Scenario evidence
Assisted and autonomous behaviour is evaluated against defined operating conditions.
04
Privacy boundary
Vehicle and driver data collection follows a stated service and retention purpose.
Practical entry points
Start with one decision that matters.
01
Create one vehicle-cloud contract
Stabilise a high-change service boundary and its degraded behaviour.
02
Connect one quality signal to the field
Trace a production condition into warranty, maintenance or reliability evidence.
03
Build one fleet decision workflow
Start with the operator action, not the telematics dashboard.
Continue exploring
Related capabilities and evidence.
Industry conversation