Every machine talking. Every minute of downtime explained.
Connected shop floors with real-time monitoring, OEE tracking and predictive maintenance.
One call with a senior engineer. A straight answer on what it would take.
Where you are. Where you’ll be.
You need this if
- Downtime causes are guessed, not measured
- Machines from different eras can't share data
- Maintenance is reactive
What changes for your business
- Higher equipment effectiveness and uptime
- Maintenance planned before failures
- Real-time visibility for plant managers
What we hand over
- Machine connectivity and edge gateways
- Industrial data platform
- OEE, quality and energy dashboards
- Predictive maintenance models
What it is
Industrial IoT connects machines and sensors on the factory floor to software that collects and analyzes their data. Smart manufacturing uses that data to measure equipment effectiveness, predict failures, cut energy use and catch quality problems early, instead of reacting after something breaks.
We connect machines and sensors, bring operational data into a unified platform, and build the applications that use it: OEE dashboards, predictive maintenance, energy monitoring and quality analytics. Integration with MES and ERP closes the loop between the floor and the business.
- Why now
- 21B connected IoT devices worldwide in 2025, up 14% in a year. IoT Analytics, 2025 (opens in a new tab)
- Last reviewed
How it runs
- 01
Diagnose
Typically 2–4 weeksWe map the problem, your data and your systems, and agree the one number that defines success.
- 02
Prove
Typically 4–8 weeksA working pilot on your real data, measured against that number. Not a slide demo.
- 03
Ship
Scoped to the outcomeProduction build with security, monitoring, cost controls and documentation included, not upsold.
- 04
Run
Ongoing, optionalWe operate what we built against clear service levels, or train your team to. Your call. No lock-in.
Questions you’ll ask
- What is OEE?
- Overall equipment effectiveness: availability, performance and quality combined into one measure of how productive a machine or line really is. Measured automatically, it shows exactly where capacity is lost.
- Can old machines be connected?
- Usually, yes, with retrofit sensors, protocol gateways or by reading existing controllers. Machines from different eras can share one data model once their signals are translated.
- How does predictive maintenance work?
- Sensor data such as vibration, temperature and current is analyzed for patterns that precede failure, so maintenance happens before a breakdown rather than after it. We start with the machines whose downtime costs most.
Sound familiar? Let’s fix it.
One call with a senior engineer. You’ll leave with a straight answer on what it would take.
Let's Build Together