San Jose, California (US), September 6, 2022: SiMa.ai, the Indian talent-led US based machine learning company has begun shipping the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge - the MLSoC.
Says Krishna Rangasayee, CEO and Founder, SiMa.ai: “When we started SiMa.ai 3.5 years ago, we set out to deliver a disruptive 10x performance improvement over alternatives and provide a scalable industry-leading ML experience solving computer vision applications. Today we are delighting customers by delivering on that promise and exceeding their expectations. We are excited to take our very first purpose-built software-centric MLSoC to volume production. This first-time-right success was made possible by a great team, fantastic technology partnerships, and our investors."
The $1 trillion global embedded edge market is currently reliant on legacy technology that limits the pace of innovation. Today’s computer vision applications utilizing ML require far too much power, are difficult to deploy and lack scalability. SiMa.ai addresses these shortcomings with its disruptive purpose-built platform which enables Effortless ML deployment and scaling at the edge. Any computer vision application is now possible with push-button ML capability, enabling rapid design iterations in minutes, all at 10x better performance per watt. The SiMa.ai MLSoC Platform offers an unmatched user experience for customers looking to scale and future-proof without the steep learning curve.
To provide the highest quality in ML innovation, SiMa.ai has chosen key partners with an industry-leading track record. Today the company has announced partnerships with TSMC, Synopsys, Arm, Allegro, GUC and Arteris. These companies provide first-class technology to align with SiMa.ai’s design methodology.
More details here