Where Hardware Meets Intelligence - Crafting Tomorrow's Embedded AI Solutions
End-to-end embedded AI innovation from hardware to cloud
Custom PCB design, sensor integration, and power-optimized embedded systems for AI at the edge.
Real-time firmware, RTOS implementation, and low-level optimization for resource-constrained AI applications.
Complete IoT product design with secure connectivity, edge computing, and predictive analytics integration.
TinyML deployment, model optimization, and edge AI inference for intelligent embedded systems.
Device-to-cloud pipelines, real-time data analytics, and scalable cloud infrastructure for IoT ecosystems.
Machine learning models for predictive maintenance, anomaly detection, and intelligent decision-making.
Deep technical capabilities across the embedded AI stack
Neural network quantization, model compression, on-device inference
Computer vision at the edge, object detection, image classification
Multi-sensor integration, Kalman filtering, SLAM algorithms
FreeRTOS, Zephyr, deterministic scheduling, low-latency processing
LoRaWAN, BLE, WiFi, Zigbee, NB-IoT, LTE-M connectivity
NPU integration, GPU optimization, specialized AI hardware
Vibration analysis, thermal monitoring, failure prediction models
Secure boot, cryptographic acceleration, hardware security modules
Based in Chennai, serving global embedded AI needs