SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, announced that it has begun shipping the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge – the MLSoC.
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.
“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,” said Krishna Rangasayee, CEO and Founder, SiMa.ai. “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. I would like to thank them all for believing in our mission.”
“We’ve seen over a dozen edge processing solutions, and have never seen anything approaching the performance and power efficiency of SiMa.ai’s MLSoC platform,” said Karl Freund, Founder and Principal Analyst at Cambrian-AI Research. “Their solution is an order of magnitude faster and more energy efficient. So far, they are blowing past their customer’s requirements by accelerating the entire vision processing pipeline, not just the ML inferencing portion. Early customers are finding it extremely easy and simple to implement SiMa.ai into their current solutions.”
SiMa.ai was founded by Krishna Rangasayee, who previously was GM and EVP of sales at Xilinx, and its chairman is Moshe Gavrielov, who was president and CEO of Xilinx and is a current TSMC board member. Lip-Bu Tan, who was just appointed to Intel’s board, is a key SiMa.ai board member. It has raised $150M in funding to date from Fidelity, Dell Technologies Capital and others.
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