01
From isolated telemetry to operating decisions
Connect signals to maintenance, quality and production workflows with named owners and response windows.
Industry / MF
Industrial systems engineered around uptime, quality and safe human authority.
Manufacturing environments combine equipment of different generations, real-time control, tacit operator knowledge and production economics that make poorly planned downtime expensive.
Operating context
Technology has to fit the institution around it.
Manufacturing environments combine equipment of different generations, real-time control, tacit operator knowledge and production economics that make poorly planned downtime expensive.
The objective is not a catalogue of pilots. It is an operating system that converts plant events into timely action while keeping safety and deterministic control outside opaque automation.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Automation with a defined safety boundary
Separate adaptive optimisation from deterministic control and independent safety functions.
03
Quality evidence at production speed
Design inspection around true defect prevalence, error cost and traceable disposition.
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.
MF.1
Connected plant architecture
Edge and event infrastructure joining assets, lines and enterprise workflows.
- Industrial IoT and gateways
- Historian and event integration
- Plant data products
MF.2
Condition and maintenance intelligence
Comparable equipment evidence routed into maintenance decisions.
- Condition monitoring
- Remaining-life estimation
- Maintenance workflow integration
MF.3
Machine vision and quality
Inspection systems evaluated against real prevalence and disposition cost.
- Vision inspection
- Traceable defect records
- Human review and feedback
MF.4
Robotics and material movement
Autonomous and collaborative systems integrated with production constraints.
- ROS 2 and fleet software
- Navigation and docking
- Safety-supervised autonomy
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Control separation
Adaptive software cannot silently become the plant safety or deterministic control layer.
02
Change windows
Releases account for production cadence, rollback and recoverable configuration.
03
Operational prevalence
AI metrics are restated at real defect and event rates before investment decisions.
04
Edge continuity
Essential monitoring and motion remain available without cloud connectivity.
Practical entry points
Start with one decision that matters.
01
Instrument one costly failure mode
Work backward from the maintenance decision and evidence needed to act.
02
Automate one bounded movement
Select a repeatable route with clear interfaces and an independent stop path.
03
Rebuild one quality station
Tie detection performance to disposition cost and operator workflow.
Continue exploring
Related capabilities and evidence.
Industry conversation