Tag Krishna Rangasayee

Bengaluru, March 11, 2024 – SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced it has been named on Forbes’ 2024 America’s Best Startup Employers list for the second consecutive year. The inclusion on Forbes’ annual employer list follows SiMa.ai’s recognition by IDC as an Innovator for AIML at the edge and GSA as the 2023 Startup to Watch. SiMa.ai was included on the Best Startup Employers list for a second time as a result of its investment in and development of strong talent, company growth, and employee culture and satisfaction.

SiMa.ai is focused on delivering leading efficiency and performance for vision-centric inference and advancing its chips to handle the power and compute of multi-modal large language models. As edge devices become more capable of powerful vision and language processing, SiMa.ai will power human-machine collaboration across critical industries like healthcare, industrial manufacturing, aerospace, defense, agriculture, and more.

“The team behind SiMa.ai’s technology is critical to our success, and we’re proud to be recognized on Forbes’ Best Startup Employers list for a second year in a row,” said Krishna Rangasayee, CEO and founder, SiMa.ai. “As AIML becomes more ingrained across the devices we use everyday, we’re building the capabilities to bring sight, sound and speech to edge devices across hospitals, farms, factory floors and more. That future requires an imaginative, collaborative, and dedicated group of individuals who are committed to redefining what’s possible for machine intelligence at the edge.”

Presented by Forbes and market research company Statista, the 2024 list was compiled by evaluating 20,000 American businesses founded between 2014 and 2021 that employ at least 50 people. Companies ranked on Forbes’ America’s Best Startup Employers list are evaluated by three criteria of excellence: employer reputation, employee satisfaction, and growth. Out of all the qualified organizations in the U.S., only 500 employers earned this distinction.

The ranking comes after a series of significant corporate milestones achieved over the last 12 months. SiMa.ai has expanded its market leadership, most notably with the recent launch of its MLSoC Development Kit, which allows developers to compile and evaluate their machine learning models in hours and create proof-of-concept use cases in days. The company bolstered its leadership ranks in October with the appointment of Elizabeth Samara-Rubio as Chief Business Officer. In addition, the company was recently recognized as an IDC Innovator for AIML at the edge, won the GSA 2023 Startup to Watch award, achieved MLPerf results that surpassed NVIDIA in computer vision performance twice in 2023, launched its Partner Program and raised additional capital.

India, February 12, 2024: SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced it has been named an IDC Innovator in the IDC Innovators: AI/ML at the Edge, 2024. The report excerpt is available for download on SiMa’s website here.

According to the IDC Innovators report, “SiMa.ai is recognized as an IDC Innovator because of its approach to enabling machine learning at the edge. SiMa.ai produces a software-centric Machine Learning System on Chip (MLSoC) that consumes very little power compared with competitive ML-optimized chips and is purpose built for the embedded edge market. Unlike standalone accelerators, SiMa.ai delivers lower power and higher performance for devices with size, weight, and power (SWaP); extended temperature; reliability; and diverse packaging requirements.” The IDC Innovators report notes, “Each of the vendors in this IDC Innovators document offers products that help bridge the gap between ideation and real use cases.”

SiMa.ai provides a machine learning system on a chip (MLSoC), Palette Software, and an MLSoC Developer Kit to make the deployment and scale of complete ML pipelines at the embedded edge highly performant and power efficient. SiMa’s offerings represent a fusion of hardware and software that ultimately lets customers enable their products and services with AIML quickly and without acquiring new expertise to implement AIML technology.

SiMa’s MLSoC supports the industry’s widest range of ML models and ML frameworks for computer vision with best in class performance.

SiMa’s Palette Software arms AIML developers with an intuitive integrated environment for edge ML application development and the ability to evaluate ML pipelines with a drag and drop approach with Palette Edgematic.

The MLSoC Developer Kit, most recently updated in December 2023, offers an out of the box vehicle for ML Developers to begin compiling, prototyping, and evaluating ML models within hours.

“We are honored to be recognized as an IDC Innovator for AI/ML at the Edge,” said Krishna Rangasayee, Founder and CEO at SiMa.ai. “We believe this research validates the work SiMa.ai is undertaking to usher in the next age of intelligence at the edge. Our team is proud to deliver solutions that will change the game for industrial robotics, computer vision, smart retail, and autonomous vehicles, as we continue to optimize large multi-modal models to enable the next generation of intelligent edge devices.”

The report noted, “SiMa.ai is uniquely positioned to overcome one of the biggest hurdles to enabling AI and ML at remote locations.” The report also noted, “SiMa.ai has focused on ease of use, enabling a ‘push button’ experience when integrating machine learning capabilities into devices at the edge, including drones, video cameras, robots and industrial equipment, autonomous vehicles, and healthcare imaging technologies.”