Edge ML leader selected for its differentiated, software-driven Machine Learning System on Chip (MLSoC) platform
SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AI and computer vision at the edge, today announced it was named the 2023 “Startup to Watch” by the Global Alliance Semiconductor (GSA). The annual award is presented to individuals and companies that have demonstrated outstanding contributions to the industry, with a commitment to innovation, and potential for significant future impact.
“We are honored to have been selected as this year’s Startup to Watch, a testament to the hard work and innovation of our exceptional team,” said Krishna Rangasayee, CEO and founder of SiMa.ai. “SiMa.ai was created to make ML effortless for all – this recognition reinforces our commitment to empower users to develop and scale AIML applications at the edge and validates the software-first approach of our edge MLSoC.”
SiMa.ai extended its market leadership in 2023, highlighted by the recent launch of Palette Edgematic, offering a “drag and drop,” low code approach for users to create, build and deploy their own models and complete computer vision pipelines automatically in minutes versus months. The company’s new MLSoC Development Kit, announced yesterday, empowers ML Developers to evaluate, prototype and demonstrate ML computer vision algorithms at the edge in hours. SiMa bolstered its leadership ranks in October with the appointment of Elizabeth Samara-Rubio as Chief Business Officer, in addition to the company’s August MLPerf results surpassing NVIDIA in computer vision performance for a second time, as well as the launch of its Partner Program and additional capital raised in June.
“GSA awards companies that best represent an innovative spirit with breakthrough technology,” said Jodi Shelton, GSA CEO and co-founder. “SiMa.ai is disrupting the AI embedded edge market with its purpose built MLSoC and we are eager to see all that SiMa.ai will achieve in the future.”
For more information about SiMa.ai and its innovative edge ML solutions, please visit SiMa.ai. To schedule a demo, reach out at developer.mlsoc@sima.ai.
Resources:
- SiMa.ai Blog: SiMa.ai’s Unprecedented Advances in MLPerf™ Benchmarks
- SiMa.ai YouTube Series: OnEdge
- SiMa.ai Blog: Enabling the Industry’s Best ML Customer Experience
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