Strategy and operating model
We define outcomes, asset prioritisation, and data architecture so the programme can scale without becoming a disconnected collection of pilots.
Smart Factory and IIoT
Smart Factory and IIoT where machines become intelligent and operations become visible.
Most manufacturing operations generate more data than they can act on. Machines run, lines produce, and systems record. But the signals that would prevent a breakdown, flag a quality issue, or expose an efficiency gap arrive too late or not at all.
DTCI's Smart Factory and IIoT services build the connective intelligence layer between production assets and the people responsible for running them. Machines become monitored nodes. Operational data becomes a live signal rather than a historical record.
Decisions that used to wait for the shift report happen in the moment, when there is still time to act on them.
Manufacturing Outlook, 202682%of factories will depend on IIoT-enabled operations by 2030
Connected manufacturing intelligence turns production data from a report into a live operational signal the team can act on in real time.
Reduced downtimethrough predictive maintenance
Device connectivity and industrial data management
We design device connectivity across industrial assets, legacy equipment, and modern platforms, building pipelines that ingest, validate, and route operational data automatically.
Production optimisation and industrial automation
We embed automation and data-driven control logic so production responds to what is actually happening on the line, not just what was planned at the start of the shift.
Industrial analytics and predictive intelligence
We build analytics layers that read machine signals continuously, flag anomalies, predict maintenance windows, and surface action before output is impacted.
Security and operational governance
We build security and governance frameworks that protect operational technology without introducing latency or complexity that slows the production team down.
Industries
Automotive
Connected manufacturing programmes for automotive operations, supply chain integration, and quality-driven production control.
How we work
How we work
Smart Factory and IIoT programmes are not infrastructure projects with a defined finish line. They are operational programmes that evolve as more of the environment becomes connected and the quality of the data improves.
Assessment and asset mapping
We map the production environment before recommending any technology, identifying the assets, signals, and data quality gaps that matter most.
Architecture and connectivity design
The architecture is designed around operational requirements — edge versus cloud, protocol selection, data pipeline design, and security all work together.
Phased deployment
Most programmes start with one line, one asset class, or one use case so the approach can be validated before the investment scales.
Sustained operation and continuous improvement
Once the programme is live, we stay involved with platform monitoring, model performance, governance, and continuous improvement.
Our team
Smart Factory and IIoT programmes are built around operational teams, not infrastructure silos.
Our team combines OT, engineering, data, and security experience to create programmes that can actually run in industrial environments.
OTIIoTDataSecurity
Why it matters
Connected manufacturing intelligence changes how production decisions get made.
- Operational data becomes a live signal, not a delayed report.
- Predictive analytics reduce downtime before failures occur.
- Security-first IIoT protects production without slowing it down.
What next
Most production environments already have more operational intelligence than they are capturing.
If your operations team is managing downtime reactively, working from data that arrives too late to change outcomes, or running smart factory pilots that have not connected to the broader production environment, talk to us.
Schedule a conversation