MosChip Technologies Ltd has announced that it will launch its new ProductXcelerate™ Blueprints at the upcoming Embedded World North America, marking a key strategic push to accelerate intelligent product development for global OEMs. The Hyderabad-based semiconductor and product engineering firm said the platform is designed to unify hardware, embedded software, digital services, and AI components into pre-validated blueprints tailored for next-generation, connected devices.
The ProductXcelerate™ suite aims to solve a critical bottleneck in the AI-era of product development — fragmented engineering pipelines. By offering pre-validated, SMARC-aligned reference designs that combine verified hardware platforms, embedded stacks, MosChip’s DigitalSky GenAIoT™ intelligence layer, and AgenticSky™ autonomous AI cores, the company expects to shorten time-to-market and reduce compliance delays for global manufacturers.
According to the company, the blueprints span high-growth technology segments including automotive software-defined vehicles, industrial edge, retail automation, home IoT, and wearables. Demonstrations at the event will include solutions ranging from automotive gateways with adaptive diagnostics to autonomous retail checkout systems and health-focused wearable technology.
Top executives at MosChip emphasised that the shift toward AI-driven product ecosystems demands integrated engineering, continuous updates, and intelligent automation. The platform’s “design once, certify once, scale across variants” approach is expected to help OEMs tackle interoperability, regulatory patchwork, and lifecycle validation challenges.
MosChip added that its ProductXcelerate™ program will offer modular, scalable, and compliance-ready frameworks, enabling devices to evolve through adaptive learning and autonomous operations at the edge — a key demand as industries transition into AI-powered product cycles.
Founded in India and operating globally, MosChip has more than two decades of experience across ASIC design, embedded systems, and AI engineering, and works with OEMs in automotive, industrial, medical, and semiconductor industries.
