SiMa.ai, a San Jose, CA-based machine learning company delivering solutions for the embedded edge, raised $13m in additional funding.
Backers in this round, which brought the round to $200M, included VentureTech Alliance and Navin Chaddha, Managing Director, Mayfield.
Led by Founder and CEO Krishna Rangasayee, SiMa.ai is a Machine Learning company delivering a software-centric, purpose-built MLSoC platform. It enables Effortless ML deployment and scaling at the embedded edge by allowing customers to address any computer vision problem while achieving better performance at the lowest power. It is initially focused on computer vision applications.
Following the initial release of SiMa’s Machine Learning System on a Chip (MLSoC™) silicon, SiMa.ai MLSoC boards and Palette software in January, SiMa.ai is fulfilling its commitment to customers by achieving full characterization and testing for production grade releases of its silicon, boards and software functionality five months later.
The ML platform is needed for any machine that exists between the smartphone and data center – a new form factor where hardware and software are optimized to increase performance and save energy.
In conjunction with entering full production on MLSoC silicon and boards featuring full functionality in the latest Palette software release, today the company formally launched the SiMa Partner Program, which will initially focus on a select group of strategic GTM partners including e-con Systems, Inventec Corporation, LIPS Corporation, and iWave.
SiMa.ai Palette software provides a full set of functionality for developing at the edge, including support for multiple ML models and ML pipelines for functional evaluation, performance testing and tuning. The software production milestone delivers on SiMa.ai’s commitment to bring its full stack edge machine learning system to the masses, meaning complete ML application development at the edge interacting with real-time data, without estimation or projections. The functionality allows customers to use their own proprietary algorithm development and testing, deploying their internal ML models and pipelines to silicon for real-time feedback.
SiMa.ai is actively working with more than 50 market-leading companies across manufacturing, retail, automotive, government and aviation.
FinSMEs
13/06/2023