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Conveys Information Technology
IT Software Consultancy

Connect Your Devices to the Cloud — Reliably

From embedded firmware on ESP32 microcontrollers to cloud dashboards that visualise real-time sensor data — we build the full IoT stack for industrial, agricultural, and consumer applications.

We handle the hardware-software boundary, cloud architecture, and the operational complexity of managing thousands of devices in the field.

What We Deliver

IoT Development Services

Firmware & Embedded Development

C/C++ firmware for ESP32, STM32, and Arduino-compatible boards — sensor drivers, power management, watchdog timers, and OTA firmware update support.

Cloud Connectivity & MQTT

Secure MQTT or HTTPS device-to-cloud communication with AWS IoT Core or custom brokers, TLS certificate provisioning, and device shadow for offline command queuing.

IoT Dashboard & Analytics

Real-time Grafana or custom React dashboards with live telemetry, threshold alerting, historical trend analysis, and export to CSV for operations teams.

Device Management Platform

Fleet management UI for remote device status, firmware rollout, configuration push, and per-device audit logs — so your ops team can manage 10,000 devices as easily as 10.

Protocol Implementation

MQTT, CoAP, Modbus RTU/TCP, BACnet, and LoRaWAN — we implement the protocol your hardware or existing infrastructure requires, not the one that is easiest for us.

Security & OTA Updates

Secure boot, encrypted storage, signed firmware images, and staged OTA rollout with automatic rollback if the new firmware causes device failures.

How It Works

Our IoT Development Process

01Week 1

Requirements & Hardware

Use case, sensor list, connectivity options (WiFi / cellular / LoRa), and power constraints mapped. Hardware BOM recommended or reviewed.

02Week 2–3

Firmware Prototype

Working firmware on development board — sensor reading, connectivity, and basic OTA. You see data flowing to cloud in week 3.

03Week 3–5

Cloud Backend

IoT Core rules, time-series database, REST API for the dashboard, and alerting pipeline built and tested with the prototype hardware.

04Week 5–6

Dashboard

Real-time charts, device list, alert management, and user roles built in React or Grafana. Reviewed with your operations team.

05Week 7–8

Field Testing

Devices deployed in a representative environment. Connectivity edge cases, power brownouts, and OTA updates tested under real conditions.

06Week 8+

Production & Handover

Production firmware signed and locked. Device provisioning guide, cloud architecture docs, and runbooks delivered. Ongoing support available.

Technologies We Use

ESP32 / STM32Hardware
Arduino / ESP-IDFFirmware
MQTTProtocol
AWS IoT CoreCloud
Node.jsBackend
InfluxDBTime-Series DB
GrafanaDashboards
PostgreSQLDatabase
DockerContainers

FAQ

Common Questions

Which microcontroller do you recommend?

ESP32 for most new projects — dual-core, WiFi + BLE built in, large community, and cheap (under ₹300 per unit). For industrial applications needing real-time guarantees or -40°C operation, we evaluate STM32 or NXP options. We work with whatever hardware your supply chain can already source.

Which cloud platform should IoT devices connect to?

AWS IoT Core for most projects — mature, well-documented, and integrates with the rest of the AWS ecosystem. For cost-sensitive high-volume deployments, we also work with self-hosted MQTT brokers (EMQX, Mosquitto) on EC2 or Railway.

WiFi vs cellular vs LoRaWAN — how do I choose?

WiFi if devices are always near a router (home appliances, factory floors with WiFi coverage). Cellular (4G/LTE-M) if devices move or are in remote locations with no WiFi. LoRaWAN for battery-powered sensors that send small data packets over long distances with minimal power.

How do you handle data storage for large device fleets?

Time-series data (telemetry) goes into InfluxDB or TimescaleDB — optimised for high write throughput and time-range queries. Device metadata, user accounts, and configuration go into PostgreSQL. We design the schema so queries stay fast at 10 million rows.

What is a typical IoT project timeline?

A simple sensor-to-dashboard prototype takes 6–8 weeks. A production-ready system with fleet management, OTA, and multi-tenant support takes 14–20 weeks. Hardware sourcing and PCB design (if required) adds 4–8 weeks.

Ready to Get Started?

Tell us about your project and we'll respond within 24 hours with a scoped proposal.