Battery management systems and EV powertrain hardware for electric vehicles
Vecmocon builds embedded hardware and firmware for electric vehicle drivetrains and battery systems. The tech stack—ARM Cortex-M microcontrollers, CANoe, MATLAB/Simulink, Altium Designer, plus Python backend with MariaDB and Nginx—reflects a hardware-first company managing both real-time vehicle control and production lifecycle. Current hiring skews engineering-heavy (9 roles) with a tightly focused junior-to-senior mix, and active projects span pilot ramp-up, field validation, and charger PCB production—indicating a transition from R&D into manufacturing scale.
Vecmocon Technologies develops battery management systems, EV powertrains, and charging hardware for electric vehicle manufacturers and OEMs in India. Founded in 2016 by alumni from IIT Kanpur, IIT Delhi, and ISB, the company operates with approximately 51–200 employees based in New Delhi. The product portfolio includes BMS firmware, vehicle-level integration modules, and charger electronics, deployed through customer trials and field testing programs. Core challenges center on manufacturing readiness, supplier quality, and cost-effective scaling from pilot production into mass manufacturing.
ARM Cortex-M microcontrollers, CANoe automotive diagnostics, MATLAB/Simulink for modeling, Altium Designer for PCB design, CAN/RS485/BLE for vehicle communication, and Protocol Buffers for data serialization.
Hardware and firmware product development, charger PCB design and production, battery management system integration, vehicle-level powertrain validation, pilot run resolution, and field testing of EV modules.
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Vecmocon Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.