IoT & edge platforms
Sensor integration, MQTT/OPC-UA gateways, time-series pipelines and real-time dashboards.
Manufacturing & Industrial
Industrial software from engineers who have stood next to the machine.
IoT, MES/ERP integration, predictive maintenance and quality AI for manufacturers, machine shops and industrial OEMs — delivered by a team with real shop-floor experience.
What we hear from manufacturing leaders
The problems worth solving.
- Data trapped in machinesCNCs, PLCs and sensors generate data that never reaches the people who could act on it.
- Unplanned downtimeMaintenance is reactive, spares are guessed, and every stoppage costs more than the sensor would have.
- Paper on the floorTravelers, inspections and checklists on paper mean quality data arrives too late to matter.
- ERP that fights the processThe ERP models the business; the shop runs on workarounds.
What we build
Solutions for Manufacturing & Industrial.
Predictive maintenance
Anomaly detection and failure prediction with explainable alerts and spares planning.
Quality & vision AI
Computer-vision defect detection and automated inspection built for real lighting and real parts.
MES / ERP integration
Shop-floor apps for travelers, work orders and inspections, integrated with SAP, Dynamics, Epicor and NetSuite.
Compliance & standards
ISO 9001 workflows IEC 62443 aware ITAR-conscious delivery SOC 2
Typical stack
Node.jsPythonMQTTOPC-UATimescaleDBReactAzure IoTAWS IoTEdge AIPower BI
Proof
Recent manufacturing work.
Shop-floor IoT and predictive maintenance
Sensors on 60 CNC machines, edge gateways, a real-time dashboard and anomaly alerts. Built by engineers who have actually run a machine shop.
31%less unplanned downtime
6 mopayback
AI dispatch engine for a 400-truck regional carrier
Replaced spreadsheet dispatching with an ML-ranked assignment engine and driver mobile app. Integrated with the existing TMS instead of replacing it.
38%more loads per dispatcher
11 wksto first production release
FAQ
Manufacturing questions.
Can you connect older machines with no network interface?
Yes. We retrofit with edge gateways, current sensors, vibration sensors and camera-based state detection where native connectivity does not exist.
How fast is payback on predictive maintenance?
Typical projects see payback within 6–12 months from reduced unplanned downtime and better spares planning; we agree the metric before we start.
Do you understand manufacturing, or just software?
Our founders and several engineers have backgrounds in CNC machining, electromechanical systems and industrial automation. We speak G-code and OEE as fluently as JSON.
Building for manufacturing? Start with a 45-minute technical consultation.
You leave with an honest read on feasibility, risk and approach — from an architect who has shipped in your industry.