AlphaICs Bags $8 Million in Series B Funding from Endiya Partners & Emerald Technology Ventures
Edge AI technology startup AlphaICs has raised $8 million in series B funding round led by Endiya Partners and Emerald Technology Ventures. The round also saw participation from existing investors ReBright Partners and 3One4 Capital, along with Aaruha Technology Fund, IREON Ventures, Canal Ventures, JSR Corporation, CBC Co ltd., and the Whiteboard Capital. Post the capital raise, Dr. Michal Natora, Investment Director, Industrial IT, Emerald, will join AlphaICs’ board of directors.
Founded in 2016, AlphaICs designs and develops high-performance AI chips for edge computing. The California and Bangalore based startup has designed a Next-generation AI Processor, Real AI Processor (RAPTM), based on a proprietary architecture. Designed for accelerating AI workloads. RAPTM is scalable and can be scaled for mobile devices to datacenter solutions.
Pradeep Vajram, Chairman & CEO, AlphaICs said, “AlphaICs innovative architecture will empower system integrators to create AI solutions, with a short time-to-market; while staying within the systems cost and thermal constraints”.
The increased need for machine learning applications at the edge in the industry will be driving the need for edge learning solutions in the days to come. Omdia forecasts that global AI edge chipset revenue will grow from 7.7 billion dollars in 2019 to 51.9 billion dollars by 2025 at a CAGR of 37.5 per cent. Sateesh Andra, Managing Director, Endiya Partners, said, “While NVidia, Google, and Startups like Graphcore are poised to dominate DataCenter AI, AlphaICs has the opportunity to be a market leader in enabling AI at the Edge.”
In a statement the company mentioned that the fresh capital will be utilized to to tape-out the Gluon AI chip, to develop the software stack, and to build system solutions for its target markets. Speaking about the investment Pradeep said, “This funding will help us bring our first inference co-processor to the market for vision applications with low latency requirements. We are also working with strategic partners to bring innovative solutions to the Industrial, Automotive, and Surveillance markets,” Pradeep added.
Founded in 2016, AlphaICs designs and develops high-performance AI chips for edge computing. The California and Bangalore based startup has designed a Next-generation AI Processor, Real AI Processor (RAPTM), based on a proprietary architecture. Designed for accelerating AI workloads. RAPTM is scalable and can be scaled for mobile devices to datacenter solutions.
Pradeep Vajram, Chairman & CEO, AlphaICs said, “AlphaICs innovative architecture will empower system integrators to create AI solutions, with a short time-to-market; while staying within the systems cost and thermal constraints”.
The increased need for machine learning applications at the edge in the industry will be driving the need for edge learning solutions in the days to come. Omdia forecasts that global AI edge chipset revenue will grow from 7.7 billion dollars in 2019 to 51.9 billion dollars by 2025 at a CAGR of 37.5 per cent. Sateesh Andra, Managing Director, Endiya Partners, said, “While NVidia, Google, and Startups like Graphcore are poised to dominate DataCenter AI, AlphaICs has the opportunity to be a market leader in enabling AI at the Edge.”
In a statement the company mentioned that the fresh capital will be utilized to to tape-out the Gluon AI chip, to develop the software stack, and to build system solutions for its target markets. Speaking about the investment Pradeep said, “This funding will help us bring our first inference co-processor to the market for vision applications with low latency requirements. We are also working with strategic partners to bring innovative solutions to the Industrial, Automotive, and Surveillance markets,” Pradeep added.
.jpg "10 Dimensions Design : Pioneering Technology Integration in the Construction Industry")
.jpg "Sante SPA Cuisine : Curating Global Food that Promotes Healthy Eating")
.jpg "Varolyn Healthcare : Transforming Patient Care with Technology, Compassion, & Innovation")
