Industry
Manufacturing & Industrial Technology
Software that connects the factory floor to the boardroom without compromising operational safety. We build IoT, predictive maintenance and production visibility systems for Australian manufacturers.
Manufacturing technology sits at the boundary of IT and operational technology, where a badly designed integration can halt a line or expose control systems. We build the data pipelines, edge services and applications that turn machine and sensor data into predictive maintenance, quality insight and real-time production visibility, while respecting the segmentation and safety constraints of the OT environment.
Challenges we solve
IT and OT integration
Connecting PLCs, SCADA and machine data to modern applications must be done without destabilising or exposing control systems. Careful network segmentation and one-way data flows are often the safe approach.
Unplanned downtime
Equipment failure is one of the costliest events in manufacturing. Condition monitoring and predictive maintenance can catch faults early, but only with reliable sensor data and models tuned to the specific asset.
Legacy and heterogeneous equipment
Plants run machinery of many ages and vendors, often with proprietary protocols. Extracting usable data requires protocol translation and edge processing rather than assuming modern connectivity.
Industrial cybersecurity
Connected operational technology widens the attack surface into systems that were never designed to be networked. Security must protect production continuity and physical safety, not just data.
IoT and edge-to-cloud data pipelines
We build the ingestion and edge processing that collect data from sensors, PLCs and SCADA, normalise it, and move it securely to the cloud for analysis. Edge processing keeps latency-sensitive logic local and reduces the volume sent upstream.
- Sensor, PLC and SCADA data acquisition with protocol translation
- Edge processing for low-latency and reduced bandwidth
- Secure, segmented connectivity between OT and IT networks
- Time-series storage and scalable cloud analytics
Predictive maintenance and quality analytics
We apply condition monitoring and machine learning to anticipate equipment failure and detect quality issues earlier. Models are grounded in your asset data and validated against real outcomes before anyone relies on them.
- Condition monitoring and anomaly detection on machine data
- Predictive maintenance models tuned to specific assets
- Quality and process analytics with alerting
Production visibility and OT-safe security
We build dashboards and applications that give operators and management real-time production and OEE visibility, delivered with industrial cybersecurity practices that protect production continuity and physical safety.
Frequently asked questions
- How do you connect to our machines and control systems safely?
- We use protocol translation and edge gateways to read data from PLCs, SCADA and sensors, with network segmentation and typically one-way data flows so control systems stay isolated and production is never put at risk.
- Can predictive maintenance work with our older equipment?
- Often yes. Where machines lack modern connectivity we add sensors and edge processing to capture the signals needed, then build condition-monitoring models tuned to each asset and validate them against real failures.
- How do you handle cybersecurity for connected operational technology?
- We apply industrial security practices focused on protecting production continuity and physical safety: segmentation between OT and IT, least-privilege access, monitoring, and secure edge-to-cloud connectivity.
How we help
- Enterprise AIWe help large organisations turn AI from scattered experiments into governed, secure capability that delivers measurable value. Strategy, platform, governance and adoption.
- Cloud ConsultingIndependent cloud strategy, architecture and migration guidance grounded in what actually runs well in production.
- Backend DevelopmentBackend systems designed for correctness, scale and the day-to-day reality of operating them in production.
- AI DevelopmentWe build custom AI features that make it to production and stay reliable there. From LLM applications and RAG to model integration, evaluation and MLOps.
Building for manufacturing?
Tell us what you're building. We'll bring senior engineers and a candid view of what it takes.