Deevia builds AI, computer vision, and embedded software for regulated industries—automotive, manufacturing, industrial inspection, medical imaging. The stack reveals a systems-software company: Python + OpenCV for ML/vision work, but heavily weighted toward embedded tools (FreeRTOS, SafeRTOS, QNX, ARM TrustZone, JTAG) and compliance infrastructure (IBM DOORS, Codebeamer, LDRA). Active adoption of CAN, I2C, UART, and Ethernet suggests deepening IoT and real-time control work. Pain points around ISO 26262 compliance and production-target monitoring indicate customers in safety-critical domains.
Deevia is a Bangalore-based software products company founded in 2013, serving automotive OEMs, manufacturing, logistics, and industrial inspection sectors. The company delivers three main categories: AI and data analytics (machine learning, computer vision, deep learning frameworks including TensorFlow, PyTorch, ONNX); embedded systems (BSP, device drivers, firmware, middleware, optimization across ARM, Intel, GPU); and IoT solutions spanning device, gateway, and cloud layers. The technical depth spans image processing, digital signal processing, audio codec development, and cloud infrastructure (Kafka, Redis, Spark). Operations are India-based with 51–200 employees.
Python, OpenCV, C/C++, Linux, FreeRTOS, SafeRTOS, QNX, ARM TrustZone, IBM DOORS, Codebeamer, LDRA, Git, Jira, ROS/ROS 2, CMake, and compliance/security tools like OpenSSL and HSM.
Automotive, manufacturing, retail, logistics, industrial inspection, medical imaging, smart cities, and sports. Pain points indicate strong focus on safety-critical domains requiring ISO 26262 compliance.
Other companies in the same industry, closest in size