Edge AI startup raises $10m for electronics manufacturing

February 10, 2021 // By Nick Flaherty
Edge AI startup raises $10m for electronics manufacturing
Adaptix in the US has raised $10m to build the next generation of edge AI automation control software.

The funding from Softbank’s Opportunity Fund enables the next generation of edge AI software for real-time predictive analytics and maintenance for manufacturing customers in the semiconductor, electronics, and automotive industries. The board includes Wim Roelandts, a former CEO of FPGA maker Xilinx alongside the CEO and financial investors.

"This investment is validation of our vision for our next-generation AI platform,” said Anthony Hill, Founder and CEO at Adapdix in Pleasanton, California. “With the SB Opportunity Fund joining the team of investors, we now have the ability to scale up the business and develop the required ecosystem of partners and suppliers."

"We are excited to support Adapdix in its AI innovations and to participate in its development of new solutions for the edge – we believe the result will be a real game changer,” said Chad Harris, an investor from SoftBank’s Opportunity Fund. “The SB Opportunity Fund is investing at this early stage because we recognize the differentiation of Adapdix' technologies and believe that it has the potential to become the leader in the fast-growing edge AI market."

This follows an $8m Series A funding round in December, led by WRVI Capital, with participation from Micron Ventures and existing investor X2 Equity.

Adaptix says it is the first predictive analytics solution based on an industrial-grade data mesh technology to provide ultra-low-latency, predictive maintenance and control. This enables the move from simply detecting and preventing faults to enabling control and automating self-correcting actions says Hill.

By enabling control where the AI data is, at the edge, Adapdix helps to increase model accuracy, reduce network cost and congestion, and cut latency.

“Enterprise companies are increasingly moving processing power closer to the source of the data to increase model accuracy, reduce network cost and congestion, and latency. The Adapdix EdgeOps solution is addressing a significant and growing market need to extract value


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