Services
One team integrates your systems and automates the work that depends on them
Automation needs reliable data, and getting that data out of your systems is integration work. That is why one team delivers both.
Services
Automation needs reliable data, and getting that data out of your systems is integration work. That is why one team delivers both.
Systems integration
UNIT 01We integrate industrial control, operational technology (OT) and enterprise systems. We cover every stage, from the feasibility study to long-term maintenance and support.
Most sites we work on added their systems one at a time, over many years. We start by deciding which systems to retire, which to migrate and which must stay on your premises. We then choose the right tool for each problem, regardless of what we used on earlier projects. The design specifies monitoring, guaranteed message delivery and how the system behaves when part of it fails. You do not discover these issues for the first time in production.
The result is often an integrated command centre. It brings live video, sensor monitoring, scheduling and performance tracking onto one screen. From a single position, your operations team can see and direct staff working in the field.

AI workflow automation
UNIT 02We apply agentic AI, robotic process automation (RPA), computer vision and predictive maintenance where they remove manual work from your operations. We confirm that your data can support each use before we build it.
The AI model is rarely what limits an automation project. The limit is usually the data: whether it is complete, up to date and reliable enough to act on. Data that your competitors do not have is also your strongest advantage over them. Making that data usable is integration work, so we deliver integration and automation as one project.
This work often requires custom software: the APIs (application programming interfaces), middleware and dashboards that let an OT system, an enterprise application and an automation layer use the same data. We build this software within the same engagement. You do not need to hand the work to a separate vendor once the integration is complete.
Recently delivered: a machine-learning quality control system for pharmaceutical pill packs, and an RFID-based asset and inventory system with a self-service kiosk for a Government Agency.

Scope of work
UNIT 03Every integration or automation engagement uses the same five services, whichever capability it starts with. The team that scopes your project also delivers it. We work in a four-stage delivery process, and each stage must be complete before the next one starts. Robotics and assurance follow their own phased engagements, which map onto the same four stages.
One accountable team
The framework
UNIT 04We deliver both capabilities against the same five layers, whichever service your engagement starts with. Each layer sets out what must be in place before a system is ready to go live. We publish the layers so you can judge any proposal against a stated standard, including ours.

What is actually running on site
We record the equipment, protocols and signal paths, and the people whose work depends on them, as we find them on site. We do not rely on the drawings. Most sites add systems one at a time, and the drawings are usually out of date by the third addition.
Whether the data can support the decision
Before software takes over a decision, we test the data behind it. We check its coverage, whether it is up to date, and whether the people who produce it already trust it. The AI model is rarely what limits the result.
Where two systems meet, and what happens when one of them fails
We specify interfaces, data flows, protocol boundaries, message delivery and behaviour under partial failure before we price anything. Every junction in the design has a named owner and a stated failure mode.
Who is accountable for the decisions the system makes
For any system that contains an AI model, we define what it may decide on its own, what is logged, who reviews it and how it is withdrawn. Our practice is aligned to ISO/IEC 42001:2023. We also use the Singapore IMDA framework and the NIST AI Risk Management Framework as reference points.
The system a year after handover
We set out who runs the system, what happens when its performance drifts and what your team is trained to do about it. Handover happens on a single date, but keeping the system running is ongoing work. We plan and price that work as a schedule of its own.

When an interface fails on commissioning day, the cause usually lies months earlier, in a proposal that nobody examined closely. Ask these four questions before you sign a proposal.
Which of these five layers does the proposal actually price?
Most proposals price only L3, the boundary where two systems meet. The integrator then discovers L1, what is actually running on site, and charges a variation for it.
What is the failure mode for the busiest interface in the design?
If the integrator cannot answer in one sentence, that interface has not been designed yet.
Who is accountable for this system in month thirteen, by name?
If nobody is named, the support work will fall to your operations team.
What in this scope do you recommend we do not automate yet?
If an integrator has nothing on that list, it has not examined your data.
The framework is free to use. It is the checklist our own engineers work to. We publish it so that you can measure any proposal against it, including ours.
How you can buy
UNIT 05We price a project only after the site assessment and preliminary design, and we tell you the cost of those two stages when you book a scoping call. For AI workflow automation, our published cost bands start at about S$8,000 for a single system and rise to S$220,000 or more when regulated equipment is involved. How we price a project.
Most engagements are a single project. We complete the site assessment and preliminary design first. We then issue a fixed-scope proposal that sets out the full cost, scope and schedule before you commit.
Larger changes run as a programme of scoped phases over several years. Each phase is proposed and priced on its own. PestBusters' industry transformation programme ran this way, in two phases from 2016 to 2018.
After go-live, the team that built your system supports it as a managed service. For mission-critical systems, our Singapore-based 24/7 support engineering team provides that support. The proposal states the support scope and response time before you sign.
We work best with operations and engineering teams that run physical equipment and need it connected to business software. Our clients run plants, ports, warehouses, facilities and government sites in Singapore.
Many automation projects in Singapore can qualify for government grants. We help you prepare the project scope that a grant assessor reads. Read about funding your project.

We built AI harvest sensing for PSA Marine's rooftop hydroponics farm, and a secure biometric fuel management system at Brani and West Coast Base.
Our work in maritime and port operations
Unboxing that took 24 hours now takes one. We built a robotics line for Raymang Eggs, funded by an Enterprise Singapore Enterprise Development Grant (EDG).
Our work in manufacturing
We delivered environmental monitoring for ENGIE, computer vision for PestBusters, and fleet communications for Chye Thiam Maintenance.
Our work in small and mid-sized business
We built radio-frequency identification (RFID) asset and inventory management, with a self-service kiosk, for a Government Agency.
Our work in logistics and public sectorFurther reading
UNIT 06
Gartner estimates that 85 percent of enterprise AI projects fail to deliver real business value. Buying a capable model before the underlying data is connected makes the route to value longer.

McKinsey's November 2025 survey found that 78 percent of companies use AI regularly, but only 33 percent are scaling it across the organisation. MIT NANDA's much-cited figure, that around 5 percent of pilots reach lasting financial gain, points the same way. Its method has been contested, so we treat it only as a sign of direction.

It is easy to write 'You own the system' into a contract. In the thirteenth month, when the integrator has left and something needs changing, that clause comes down to a short list of specific items. Each item was either handed over or it was not.