GrAI Matter Labs raises $14M to bring more AI per watt to edge devices
GrAI Matter Labs, a pioneer of brain inspired ultra-low latency computing, has announced its latest financing round of $14 million led by iBionext, and joined by all existing investors and newly welcomed Bpifrance through the Future Investment Program and Celeste Management. The company notes it will use the funds to accelerate design and market launch of its first GrAI full-stack AI system-on-chip platform, to deliver on customer needs at the edge.
GrAI Matter Labs’ programmable NeuronFlow technology enables industry-leading inference latency efficiently – more than an order of magnitude better than competing solutions. Its current accelerator chip GrAI One and the GrAI One HDK are available for product evaluation and application programming. The upcoming GrAI full-stack AI system-on-chip platform will drive a significant step in visual inference capabilities in robotics, industrial automation, AR/VR and surveillance products and markets.
“Securing this funding round is a testament to our breakthrough innovation and market potential. We are excited to bring the fastest AI per Watt to every device on the edge,” said Ingolf Held, CEO of GrAI Matter Labs. “This funding will help us to partner with application specialists and integrators, and to deliver best-in-class visual inference performance, system-on-chip platforms and end-to-end applications to our customers.”
“The market for edge AI inferencing is the most active segment of the AI chip market. GML has developed several innovations that combined have produced an outstanding AI accelerator,” said Michael Azoff, Chief Analyst, Kisaco Research. “It is exploiting sparsity (spatial and temporal) in the input data that is the stand-out approach taken by GML.”
Article Topics
AR/ML | chips | edge AI | funding | GrAI Matter | venture capital
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