Connect your physical assets to intelligent software. We build custom IoT platforms, sensor integrations, and live monitoring dashboards that give your operations real-time visibility — so you can act on data in seconds, not at the end of the day.
Every industrial business generates operational data — machines reporting their state, sensors measuring temperature and pressure, vehicles reporting position, meters recording consumption. The question is whether that data is being captured, understood, and acted upon in time to make a difference.
Most businesses still rely on manual readings, end-of-shift reports, and reactive maintenance schedules. By the time a problem surfaces in a report, it has already affected production, quality, or safety. IoT and real-time dashboard development changes this equation — putting live operational data on a screen accessible to every decision-maker, with automatic alerts when something demands attention.
We build complete IoT systems — from device connectivity and data pipelines to the live dashboards and alerting logic your operations team needs. We work with existing sensors and industrial equipment through protocol adapters, and with new IoT device deployments using modern MQTT-based connectivity. Our IoT platforms handle everything from a handful of sensors in a single facility to thousands of devices across multiple sites.
Our IoT work connects naturally to our AI & automation, cloud infrastructure, and web application development capabilities — for clients who want to layer predictive analytics and business-system integration on top of their IoT data.
From Noida and Delhi NCR manufacturing clusters to Mumbai, Pune, and Chennai industrial zones — we deliver IoT platforms with deep understanding of the operational environment, not just the software.
From single-sensor monitoring to enterprise-wide industrial IoT platforms.
The business case for live operational visibility is measured in avoided downtime, reduced waste, and faster decisions.
Know the current state of every machine, sensor, and asset in real time — from any device, from anywhere. No more waiting for end-of-shift reports to discover a problem that happened six hours ago.
Detect equipment deterioration before failure — vibration patterns, temperature trends, current draw anomalies. Schedule maintenance when it's needed, not on a fixed calendar. Reduce unplanned downtime by 30–60%.
Trigger automated actions from sensor data — start a pump when a tank reaches a low level, open a valve when pressure crosses a threshold, generate a work order when a machine's health score drops. Eliminate manual monitoring and response.
Faster incident detection, faster response, faster root-cause analysis. When something goes wrong, your team knows immediately and has the historical data to understand why — reducing mean time to repair (MTTR) significantly.
Decisions backed by real data instead of intuition and experience alone. Capacity planning, shift scheduling, energy management, and quality improvement driven by what the sensors actually reveal about your processes.
Granular energy monitoring identifies consumption patterns that reveal waste — machines running idle, compressed air leaks, inefficient scheduling. Clients consistently find 10–25% energy savings once they have real-time consumption visibility.
A phased approach that validates device connectivity before investing in the full platform build.
Indicative pricing based on platform complexity and device count.
Real-time monitoring of 340 CNC machines across 3 production facilities — vibration, temperature, spindle current, and cycle count sensors. Predictive maintenance alerts reduced unplanned downtime by 44%. Dashboard visible from plant floor screens, supervisor tablets, and management PCs.
Temperature and humidity monitoring for 180 refrigerated trucks transporting pharmaceutical products. Real-time alerts when temperature deviates from range. Automated compliance reports for regulatory submissions. GPS tracking with temperature overlay on live map dashboard.
Energy sub-metering across 8 production zones for a large textile manufacturer. Per-zone consumption tracking, shift comparison, peak demand monitoring, and power factor analysis. Identified ₹28 lakh/year in avoidable energy waste in the first quarter post-deployment.
"Unplanned downtime dropped 44% in the first six months. We can now see a machine deteriorating in the data before it fails — that has completely changed how our maintenance team operates."
"The cold chain monitoring system paid for itself in the first two months by preventing a shipment rejection. Now our compliance team generates regulatory reports in minutes instead of days."
"₹28 lakh in avoidable energy waste identified in the first quarter. The dashboard showed exactly which zones were consuming outside of efficient operating parameters. Data we had no way of seeing before."
Start with a free technical consultation. Vivek will assess your devices, data requirements, and connectivity environment — and give you a clear architecture proposal and budget estimate.