EmbedUR Systems Forecasts Edge AI Business to Eclipse Services Division by 2027
Chennai-based embedUR Systems, a prominent player in embedded systems and edge artificial intelligence, anticipates that its edge AI business will overtake its traditional services business within the next few years. This shift is primarily fueled by increasing industrial demand for deploying AI systems directly on-site, reducing latency and enhancing efficiency.
Driving Forces Behind the Transition
According to Rajesh Subramaniam, founder and CEO of embedUR Systems, the company is witnessing a surge in demand from various industrial sectors. Medical devices, logistics and transportation, and commercial lighting are among the key areas adopting edge AI models to handle low-latency workloads. This trend is pushing embedUR to pivot more aggressively towards its edge AI offerings.
The US-headquartered company, which specializes in developing firmware and software solutions for IoT devices and networking applications, has been gradually shifting its focus to edge AI in recent years. Much of this work is being spearheaded by its dedicated team in Chennai.
Introducing ModelNova: A Game-Changing Platform
To capitalize on this growing market, embedUR has developed ModelNova, an innovative platform designed to streamline the adoption of edge AI. ModelNova provides a comprehensive library of pre-trained AI models tailored for specific applications. The platform aims to eliminate the dependency on proprietary toolkits from individual chip vendors, making it easier for developers to integrate AI into their projects.
"The library will make it easy for any software developer to start creating and customizing models with a simple point-and-click interface," Subramaniam explained. This user-friendly approach is expected to accelerate the deployment of AI solutions across various industries.
Strengthening Global Partnerships
EmbedUR is also deepening its collaborations with leading global chip vendors to support its edge AI initiatives. In addition to existing partnerships with companies like Infineon, ST Micron, and Synaptics, the company has recently expanded its network to include Arm, Silicon Labs, NXP Semiconductors, and Ceva. These chips, capable of hosting AI models, are anticipated to be widely adopted by original equipment manufacturing (OEM) companies.
Financial Projections and Strategic Moves
Currently, embedUR's edge AI platform contributes approximately 10% of its total revenue. However, Subramaniam projects that this segment will surpass the revenue from its primary embedded systems business by 2027. To facilitate this growth, the company plans to spin off ModelNova as a fully owned subsidiary by the end of this year, effectively separating its product business from its services division.
Furthermore, embedUR is committed to investing significantly in its Chennai operations. As part of a broader Rs 500 crore commitment, the company aims to complete a Rs 300 crore investment in its Chennai center, bolstering its research and development capabilities in edge AI and embedded systems.
Conclusion
EmbedUR Systems is strategically positioning itself at the forefront of the edge AI revolution. With robust industrial demand, innovative platforms like ModelNova, strengthened global partnerships, and substantial investments in its Chennai hub, the company is well on its way to transforming its business landscape. The anticipated shift from services to edge AI dominance by 2027 underscores the growing importance of on-site AI deployments in today's technology-driven world.
