Bridging the
Physical & Digital
The world is becoming one massive sensor network. We engineer the hardware, firmware, and cloud infrastructure that makes sense of the noise and drives real-world action.
Is Your IoT Strategy
Drowning in Data Noise?
Connectivity is easy. Reliability, security, and actionable insights are where most IoT projects fail at scale.
Power Inefficiency
Devices that die in days are useless. We specialize in low-power firmware (BLE, LoRaWAN, NB-IoT) for years of battery life.
Security Vulnerabilities
IoT devices are the weakest link in your network. We implement hardware-root-of-trust and encrypted bootloaders.
Cloud Cost Bloat
Sending every single sensor reading to the cloud is expensive. We use Edge Computing to process data locally.
Scaling Complexity
What works for 10 devices fails at 10,000. Our architecture is built for massive device fleet management (OTA updates).
Connectivity Silos
Devices that don't talk to your ERP or CRM provide half-value. We build deep integrations into your business logic.
Latency Issues
In industrial automation, seconds are lives. We build real-time systems with deterministic response times.
IoT & Edge Solutions
From circuit design to cloud dashboards, we provide end-to-end engineering for the physical world.
Embedded Firmware
C/C++ and Rust development for ARM Cortex, ESP32, and custom silicon architectures.
Connected Platforms
Cloud-native device shadows, MQTT brokers, and real-time data streaming architectures.
Industrial IoT (IIoT)
SCADA integration, predictive maintenance, and condition monitoring for manufacturing.
Asset Tracking
Global GPS, GLONASS, and cellular-based tracking solutions with geofencing and motion alerts.
Smart Building Tech
HVAC automation, lighting control, and sensor networks for commercial and residential estates.
Edge AI Integration
Deploying TinyML models to the edge for vision, audio, and vibration analysis without cloud dependency.
IoT Technology Stack
End-to-end tools for a multi-layered hardware world.
Hardware & OS
- STM32 / Nordic nRF52
- FreeRTOS / Zephyr OS
- Embedded Linux (Yocto)
- ESP-IDF (ESP32)
Connectivity
- LoRaWAN / NB-IoT
- BLE 5.x / Beaconing
- Wi-Fi 6 / Matter / Thread
- LTE Cat-M1 / 5G
Cloud Ecosystem
- AWS IoT Core / Greengrass
- Azure IoT Hub
- Google Cloud IoT
- InfluxDB / TimescaleDB
Edge Tools
- TensorFlow Lite / Edge Impulse
- Docker / BalenaCloud
- Pytho / MicroPython
- GDB / JTAG Debugging
Fleet Management
- Over-the-Air (OTA) Updates
- Device Shadows / Twins
- Fleet Health Dashboards
- Remote Key Rotation
Protocols
- MQTT v5.0 / WebSockets
- HTTP/2 (gRPC / Protobuf)
- Modbus / CAN bus / OPC-UA
- AMQP / CoAP
Visualization
- Grafana Integration
- Custom React Dashboards
- Flutter Mobile Apps
- Real-time Alert Systems
Compliances
- FCC / CE Pre-compliance
- SOC2 / GDPR Data Security
- Green IoT (Energy Rating)
- IP67/68 Ruggedization Support
Why Trust Constelly for
IoT Engineering?
We don't just write code; we understand the physics of hardware. Our multi-disciplinary team bridges the gap between mechanical engineering, electrical design, and cloud architecture.
Bare-Metal Stability
We write highly optimized C code that runs on the smallest of microcontrollers without crashing.
Hardened Security
Our systems are built with end-to-end encryption from the sensor pin to the cloud database.
Zero-Config Scaling
Our provisioning systems allow you to deploy thousands of devices with a simple QR code scan.
50k+
Devices Under Management
<10ms
Edge Latency Achieved
100%
Custom PCB Design Capability
99%
Battery Usage efficiency
Frequently Asked Questions
How do you ensure IoT security?
What is Edge Computing?
Can you help with hardware PCB design?
What wireless protocol should I use (Wi-Fi, BLE, LoRa)?
How do we update devices once they are in the field?
Does IoT only work for manufacturing?
Can we integrate IoT data into our existing ERP/CRM?
What is "Predictive Maintenance"?
How do we start an IoT project?
What is "TinyML"?
Connect Your Physical World
Build smart, connected ecosystems with custom IoT solutions. Collect and analyze real-time data from devices to drive operational efficiency.