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Cost-optimized IoT platforms with real-time dashboards, event-driven architecture, and AI-powered analytics. Built for hardware startups and growing businesses across Tamil Nadu, Bengaluru, and India.
97%
cloud cost reduced
₹30K/month → ₹10K/year
GoInstaGood · Smart Vending Network
An Indian hardware startup running a recycled-bag vending machine network on GCP — every machine pinging every 10 seconds, no operational layer for vendors, ₹30,000/month cloud bill. We re-architected the platform onto event-driven MQTT, moved off GCP to a tuned VPS, and built a vendor-friendly portal with real-time monitoring, automated alerts, and refill management.
Read the full case studyMost IoT cloud bills are 70-90% larger than they need to be. The architecture decisions made on day one decide the bill on day 365.
Devices transmit only on real events — dispense, fault, threshold crossing — instead of pinging every few seconds. Drops network traffic by 99%+.
For most small-to-medium IoT networks, a single tuned VPS beats Kubernetes-on-managed-cloud by 80-90% on cost. We pick infrastructure based on real load, not buzzwords.
Aggregate, filter, and process data on the device itself — only ship what matters to the cloud. Less ingress, less storage, less compute.
We tell you exactly when your architecture should change — and re-architect with you when you cross those thresholds. No premature cloud-native, no surprise rewrites.
End-to-end IoT software — from device firmware to vendor dashboards.
Admin dashboard to manage, monitor, and configure all connected devices from one place.
Live device status, health checks, sensor data streams, and instant alerts on failure.
We design for minimal cloud cost without compromising reliability. Proven 97% reduction on a live deployment.
Devices transmit only when something actually happens — not on fixed polling intervals. Massive cost and reliability gains.
Separate logins for vendors, field staff, clients, and admins — each seeing only what they need.
Track stock, trigger refill alerts, automate supply chain workflows, and generate operational reports.
AI on top of IoT data is one of the most under-utilised opportunities in Indian hardware. We build the practical, ROI-positive applications — not demos.
Train models on sensor data to forecast component failures before they happen — reduce downtime, cut emergency repair costs.
Detect outliers in real-time data streams — unusual temperature spikes, power draw, network behaviour — without manual rule-writing.
Run lightweight ML models directly on edge hardware (ESP32, Raspberry Pi, Jetson) — faster decisions, less cloud cost, offline-capable.
Natural language queries on device data — ask your dashboard 'which machines underperformed last week?' and get an answer.
Our IoT clients are mostly hardware startups and growing businesses across Tamil Nadu and Bengaluru. We work closely with the electronics manufacturing ecosystem in Coimbatore, Chennai, and Hosur, and the embedded/IoT engineering community in Bengaluru — Electronic City, HSR Layout, Whitefield.
Most Indian IoT founders we work with are excellent at hardware but struggle with the software stack — backend, cloud architecture, dashboards, AI. That's where we plug in. You focus on the device. We handle the rest.
We also work with clients across the rest of India and globally, but our roots and networks are deepest in Tamil Nadu and Bengaluru — and that's where we deliver fastest.
Tell us your hardware setup. We'll review your architecture and propose a stack that scales without burning your cloud budget. Free first conversation.