Embedded AI & security retrofit engineering · Singapore
AI on the hardware you already have.
Your existing systems have more potential. We unlock it with embedded AI, intelligent monitoring, and cybersecurity—without replacing what already works.
One system. One team. One accountable path forward.
Your hardware, firmware, AI, and security should work as one system. We engineer them as one accountable build—with a clear scope, measurable evidence, and one team responsible from feasibility through deployment.
Bring us your challenge→Platforms and technologies we use in retrofit engineering
Product names and logos identify technologies we use and do not imply affiliation or endorsement.
THE RETROFIT PATH
One team. Three controlled stages. Evidence before scale.
01 · Assess
Prove The Opportunity
We profile your existing system, workload, constraints, and fleet economics—giving you architecture options, projected costs, and a clear recommendation before major investment.
02 · Engineer
Build The Right Retrofit
We integrate hardware, firmware, embedded AI, and security into one working solution engineered against real power, performance, lifecycle, and cost requirements.
03 · Validate & Scale
Deploy With Confidence
We validate the retrofit on real units, measure the results, and create a controlled rollout plan for the installed base you already trust.
WHY RETONAI ?
Built for the layer where retrofit projects live or die.
One accountable team
Hardware, firmware, embedded AI, and security—engineered together.
One architecture, one responsible team, and fewer handoffs between disconnected vendors.
Retrofit-first decisions
Preserve what works. Replace only what the evidence requires.
Your installed equipment, integrations, and operational knowledge remain valuable parts of the solution.
Evidence-led investment
Clear scope and measurable outcomes at every stage.
You validate feasibility and value before committing to a larger fleet rollout.
Built beyond the pilot
Designed for lifecycle, security, documentation, and controlled deployment.
The result is engineered for field operation, not simply for a successful demonstration.
Models, boards, firmware, and security succeed only when engineered as one system. That integration is RETONAI’s core discipline.
Capabilities
Every layer your retrofit needs—engineered to work as one.
Retrofit Architecture & System Integration
Fleet profiling, feasibility assessment, interface strategy, and end-to-end architecture for upgrading existing operational and security systems.
Electronics R&D & Prototyping
Platform selection, electronic design, proof-of-concept hardware, and prototype development for new retrofit modules and intelligent devices.
Embedded Firmware & Edge Platforms
Board bring-up, device drivers, embedded Linux or RTOS, sensor pipelines, connectivity, and secure update integration.
Embedded AI & ML Optimisation
Model selection, quantisation, compression, hardware acceleration, and on-device inference engineered for real power and latency limits
Cybersecurity Software & Device Security
Secure boot, signed firmware updates, device identity, attack-surface reduction, threat detection, and cyber-physical protection software.
PCB, Mechanical & Product Engineering
Schematics, PCB layout, power and thermal engineering, enclosure design, design for manufacture, and production-ready documentation.
The economics
The smartest upgrade is the one the numbers support.
Retrofit is not automatically the right answer. We compare the cost, disruption, lifecycle, and technical risk of upgrading your installed system against partial or complete replacement.
Full replacement
- Purchase a new hardware fleet
- Replace or modify existing infrastructure
- Installation, migration, and operational downtime
- Integration, testing, and recertification
- Staff retraining and workflow changes
- Disposal of serviceable equipment
Best when: the installed system can no longer meet the required performance, security, reliability, or remaining-lifecycle requirements.
Retrofit the existing system
- Preserve serviceable field hardware
- Add only the required compute, sensing, firmware, or security
- Reuse existing cabling, integrations, and workflows
- Validate the solution on real units before scaling
- Roll out in controlled stages
- Extend the useful life of the installed base
Best when: the existing system still has operational value and can support the required upgrade safely and economically.
Replacement cost
New equipment + installation + migration + downtime + integration + training + disposal
Retrofit cost
Engineering + modules or software + installation + validation + rollout + lifecycle support
We calculate both paths for your actual fleet. The recommendation may be retrofit, partial replacement, full replacement — or no project at all.
Applications & RETONAI R&D
See what existing systems—and new ideas—can become.
Representative retrofit applications alongside RETONAI-led research projects. Maturity labels distinguish illustrative applications from active R&D and validated deployments.
Installed video security
Smarter detection at the edge
Add on-device detection and event intelligence while preserving serviceable cameras, cabling, and existing security workflows.
Industrial equipment and PLCs
Detect problems before they interrupt production
Add vibration, current, or thermal sensing with edge analytics to identify abnormal equipment behaviour on running industrial systems.
Field robotics and AgTech
Add perception and precision control
Integrate on-device vision and intelligent control into existing machines for navigation, targeted treatment, inspection, and autonomous operation.
Connected industrial systems
Detect cyber-physical anomalies
Correlate network activity with sensor and controller behaviour to identify suspicious commands, manipulated processes, and emerging equipment risk.
GreenShield AI
On-device vision & field-specific guidance
On-device vision and decision support for smallholder farmers, designed to improve fertilizer and pesticide application through field-specific guidance.
Status: Proof of concept in development
Bioacoustic signal decoding
Interpretable behavioural & welfare signals
Edge audio intelligence that analyses barking patterns and other animal vocalisations to surface interpretable behavioural and welfare signals for further validation.
Status: Proof of concept in development
Concept — from existing system to intelligent fleet
What you receive
Concrete engineering outputs at every stage.
Every engagement is scoped around decision-ready documentation, working engineering assets, measurable evidence, and a practical path to deployment.
01
Decision-ready feasibility package
System and fleet profiling, technical constraints, architecture options, cost and risk comparisons, and a clear recommendation on whether to retrofit, partially replace, or stop.
02
Integrated engineering package
System architecture and the applicable hardware, PCB, firmware, embedded AI, mechanical, interface, and security specifications — supported by an agreed verification plan.
03
Prototype and validation evidence
Working prototype or pilot artifacts, test results, performance measurements, known limitations, and evidence from representative units or operating conditions.
04
Deployment and lifecycle package
Controlled rollout plan, installation guidance, manufacturing or supplier documentation, update and recovery procedures, maintenance considerations, and engineering handover materials.
Exact deliverables, formats, acceptance criteria, intellectual-property terms, source-code access, and licensing are defined in the agreed scope of work before engineering begins.
Let's drink coffee.
Please share your current operations. We will assess their potential and provide a straightforward engineering perspective.
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