01
Production & inventory systems
Real-time production tracking, material flows, and inventory that matches what is actually on the rack.
Industries — Manufacturing
The factory floor, finally visible.
Production tracking, IoT telemetry, and predictive analytics that connect the shop floor to the boardroom — for manufacturers ready to run on data instead of gut feel.
Where we help.
02
IoT & machine telemetry
Sensor integration and dashboards that turn machine data into decisions — we build IoT platforms in-house.
03
Supply-chain visibility
Supplier portals, order tracking, and exception alerts across the chain.
04
Legacy MES modernization
Modernizing plant systems incrementally — production never stops for a rewrite.
AI, applied to manufacturing.
Production AI use cases we build for this industry — governed, secure, and measured against outcomes.
AI use case
Predictive maintenance
Failure prediction from vibration, temperature, and cycle data — maintenance when needed, not on a guess.
AI use case
Quality vision inspection
Computer-vision defect detection on the line, trained on your parts and tolerances.
AI use case
Demand & capacity forecasting
Planning models that blend order history, seasonality, and market signals.
AI use case
Document automation
AI processing of POs, invoices, and quality certificates — procurement without retyping.
Relevant services.
Frequently asked questions.
Our machines are old — can they still be connected?
Usually yes: retrofit sensors and gateway devices bring telemetry from equipment decades old; the audit tells you exactly what is feasible.
What does predictive maintenance require to work?
A few months of telemetry and failure history; we start collecting on day one and models improve as data accumulates.
Can you integrate with our ERP?
Yes — SAP, Oracle, Zoho, and others; production systems feed the ERP rather than replacing it.
How disruptive is implementation to production?
Minimal by design — deployments are staged around shifts and maintenance windows, with rollback plans for every cutover.
Use cases
Where we put technology to work in manufacturing
Predictive maintenance
Sensor telemetry models that schedule service before failure — downtime becomes a planned line item.
Vision-based quality control
Camera inspection at line speed catching defects sampling misses, with images archived for traceability.
Production dashboards
OEE, throughput, and scrap live from the line — one truth for the morning meeting and the board pack.
Demand forecasting
ML models that steady planning across seasonality and promotions, cutting expedite costs and stockouts.
MES & ERP integration
Shop-floor systems, historians, and enterprise platforms unified into one governed data layer.
Energy optimization
Facility-level consumption analytics that find and hold savings across shifts and sites.
In depth
Manufacturing technology from shop floor to top floor
Manufacturers win on visibility: knowing what every line, machine, and shipment is doing now — and what it will do next. We build MES integrations, production dashboards, quality systems, and IoT platforms that connect OT data to enterprise decision-making.
Predictive capability compounds the value: machine learning on sensor telemetry schedules maintenance before failure, demand forecasting steadies planning, and computer vision inspects at line speed with accuracy human sampling cannot match. Downtime, scrap, and expedited freight are where the ROI shows up.
Integration is the quiet hard part — ERPs, historians, PLCs, and suppliers’ systems all speak differently. Our data engineering practice unifies them into governed platforms, so the same numbers drive the daily production meeting and the quarterly board pack.
OT meets IT, governed
Sensor and PLC data unified with ERP truth in one analytics layer.
Predict, don’t react
Maintenance and demand models that turn surprises into schedules.
Vision-grade quality
Camera-based inspection at line speed, every unit, every shift.