What we build
- Sensor networks: soil moisture, temperature, humidity, water level, flow, power, vibration, gas and air quality, using off-the-shelf or custom sensor boards.
- Embedded systems: firmware for Arduino and ESP32-class boards, Raspberry Pi gateways and industrial controllers, written to survive power cuts and reboots.
- Connectivity: LoRaWAN for long range and low power across fields and campuses, 4G for remote sites, Wi-Fi and Ethernet inside buildings, with store-and-forward when the link drops.
- Gateways and back ends: MQTT brokers, time-series storage, device management and over-the-air firmware updates.
- Dashboards and apps: live and historical views on the web and on Android, with alerts by SMS, WhatsApp, push and email.
- Control: automated irrigation valves, pump control, relay switching and interlocks, with manual override.
- Integrations: feeding readings into ERP, maintenance and billing systems, or reading from existing PLCs, energy meters and weighbridges.
Where we apply it
- Agriculture: soil and weather monitoring, automated irrigation and cold-storage monitoring for farms and farmer producer organisations in Vidarbha and beyond.
- Manufacturing: machine uptime, energy metering, temperature and humidity in stores, tank levels and production counts for plants in MIDC areas.
- Facilities: water tanks, DG sets, HVAC, cold rooms and server rooms in hospitals, hostels, hotels and warehouses.
Hardware realities in India
Power cuts, dust, heat above 45 degrees, rats chewing cables and 4G that fades in the afternoon are design inputs, not surprises. We choose enclosures, batteries, solar and communication modules with those in mind, and firmware buffers readings locally so nothing is lost when the network goes down.
How a project runs
Hardware work follows our eight-step process with a pilot in the middle. Requirements covers what to measure, where, how often and what should happen when a reading is out of range. Planning chooses sensors, boards, connectivity and back end, and costs the hardware. Design covers the enclosure, the wiring and the dashboard.
Development builds firmware and software together. Testing starts on the bench and moves to a pilot of a few devices in the field for two to six weeks. Deployment is the full roll-out. Training teaches your team to read the dashboard, change batteries and replace a node. Support covers firmware updates and failed devices.
What it costs
As a rough guide for IoT projects in India:
| Project | Indicative range |
|---|---|
| Pilot: 3 to 5 nodes, gateway and dashboard | ₹1.5 to 4 lakh |
| Farm or facility monitoring with alerts | ₹3 to 10 lakh |
| Monitoring plus automated control and integrations | ₹6 lakh upward |
The real figure depends on scope: number of nodes, sensor types, range and terrain, whether control is needed and how the data must flow into other systems. Hardware is billed at cost as its own line, and monthly costs (SIMs, cloud, SMS) are estimated before you commit. More background is in IoT smart farming in Maharashtra and Hardware integration and IoT smart systems.
Why a company in Gondia and Nagpur
Hardware has to be installed, and someone has to come back when a node stops reporting. Being in Gondia and Nagpur means we can drive to a farm in Bhandara, a plant in Butibori or a cold storage in Wardha for the survey, the pilot and the fixes. We work Monday to Saturday, 9 am to 7 pm IST.
For sites further away we build and test the kit here, ship it configured, and support installation over a video call with your electrician. Our own suite RightSutra includes MonitorRight, a surveillance module, so device-facing software is something we run ourselves, not only build for others.
What to ask an IoT vendor
- What happens to readings when the network drops? Are they lost or buffered?
- How long will a node run on battery, and who changes it?
- Can I export my data, and does the dashboard work without the vendor's cloud?
- What does a replacement node cost, and how long does it take to arrive?
- Is there a pilot, and what does it have to prove before full roll-out?
Related work
- Smart agriculture system. Farmers needed crop monitoring, automated irrigation and weather prediction. We built an IoT sensor network feeding machine-learning crop analytics and a web dashboard, on Python, Arduino, LoRaWAN, machine learning and React.
That project is the template for most of our field work: low-power nodes on LoRaWAN, a gateway with an internet uplink, a Python back end doing analytics and a React dashboard. Our AI and automation team handles the analytics side. More on the portfolio.
Start a project
Tell us what you want to measure or control, where the site is and whether it has power and mobile signal. We will reply with a sensor and connectivity recommendation and a pilot price. Contact us, call +91 82630 93672 or write to info@sailright.tech.
