01
Firmware that remains supportable in the field
Make hardware variants, secure updates, diagnostics and rollback part of product architecture.
Industry / ES
Engineering the software and evidence layer around complex electronic products.
Electronics programmes combine fast product cycles with component variability, constrained compute, specialised test equipment and supply chains that can change underneath a released design.
Operating context
Technology has to fit the institution around it.
Electronics programmes combine fast product cycles with component variability, constrained compute, specialised test equipment and supply chains that can change underneath a released design.
Root Digit contributes where embedded software, edge intelligence, validation infrastructure and manufacturing data must operate as one controlled engineering system.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Verification data connected to design decisions
Join requirements, test configuration, results and defects so release evidence is reconstructable.
03
Manufacturing intelligence without another data silo
Connect test, yield, quality and traceability events to the engineering teams that can act on them.
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.
ES.1
Embedded and edge software
Device software for sensing, control, connectivity and constrained inference.
- Embedded Linux and real-time software
- Device connectivity and diagnostics
- On-device AI integration
ES.2
Device and test platforms
Infrastructure for provisioning, automated validation, telemetry and lifecycle support.
- Hardware-in-the-loop automation
- Device fleet management
- Secure update systems
ES.3
Quality and yield intelligence
Data products joining production test, process, defect and supplier evidence.
- Test-data pipelines
- Yield and anomaly analytics
- Unit-level traceability
ES.4
Product security engineering
Identity, trust and supply-chain controls from build through field operation.
- Secure boot and device identity
- Firmware signing and provenance
- Vulnerability and update workflows
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Variant traceability
Hardware, firmware, calibration and test configuration remain linked by unit and lot.
02
Release evidence
Requirements, verification outcomes, exceptions and approvals form one release record.
03
Update safety
Signing, staged rollout, rollback and recovery are tested before field deployment.
04
Supplier visibility
Component and process changes are connected to quality and reliability impact.
Practical entry points
Start with one decision that matters.
01
Automate one validation bottleneck
Convert a slow or inconsistent bench procedure into attributable test evidence.
02
Establish one device-control plane
Unify identity, configuration, update and telemetry for a defined product family.
03
Trace one yield problem
Connect unit, test, process and supplier evidence around a costly failure pattern.
Continue exploring
Related capabilities and evidence.
Industry conversation