GrAI Matter Labs
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GrAI Matter Labs

http://www.graimatterlabs.ai/
Last activity: 21.10.2021
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Categories: AnalyticsArtificial IntelligenceBusinessComputerITLearnLifeSmartTechnologyTime
At GrAI Matter Labs we are in the business of Life-Ready AI.

Artificial Intelligence as close to natural as it gets.

AI that feels alive.

We deliver brain-inspired chips that behave like humans.

AI that make machines assisting humans act, and react, in real time.

AI that optimizes energy and maximizes efficiency, saving time, money, and vital natural resources.

GrAI Matter Labs (aka GML) was founded in 2016 as Brainiac within the iBionext Start-up Studio in Paris by Ryad Benosman, Bernard Gilly, Giacomo Indiveri, Xavier Lagorce, Sio-Hoi Leng, Bernabe Linares-Barranco and Atul Sinha, a team combining extensive experience in neuromorphic computing, silicon design, and entrepreneurship.

GML has offices in Paris, Eindhoven, The Netherlands and Silicon Valley. The company is driven by a team of visionary and seasoned engineers, and is backed by leading investors including iBionext, 360 Capital Partners, 3T Finance and Celeste Management.

More information can be found at www.graimatterlabs.ai
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Location: France, Ile-de-France, Paris
Employees: 51-200
Total raised: $29M
Founded date: 2016

Investors 3

Funding Rounds 2

DateSeriesAmountInvestors
23.11.2020-$14M-
12.04.2018Series A$15MiBionext

Mentions in press and media 8

DateTitleDescription
21.10.2021GrAI Matter Labs Named as CES 2022 Innovation Awards HonoreeGrAI Matter Labs (GML), a pioneer in brain-inspired ultra-low latency computing solutions, announced that it has been named a CES 2022 Innovation Awards Honoree for the Life-Ready GrAI VIP (Vision Inference Processor) product. This year’s C...
30.11.2020This Paris-based AI chip startup aims to bring the fastest AI per Watt to every device on the edge; raises €11.6MAutonomous vehicles, industrial robots, drones need to sense the environment and react accordingly in real-time. However, traditional computing architectures process all the input data regardless of context; this can be inefficient as it in...
24.11.2020GrAI Matter Labs Raises $14 Million to Bring Fastest AI per Watt to Every Device on the EdgeGrAI Matter Labs, a pioneer of brain inspired ultra-low latency computing, announced its latest financing round of $14 million. The round was led by iBionext, joined by all existing investors and newly welcomed Bpifrance through the Future ...
23.11.2020GrAI Matter Labs Raises $14M in FundingGrAI Matter Labs, a Paris, France-based brain inspired ultra-low latency computing company, raised $14m in funding. The round was led by iBionext, joined by all existing investors and new Bpifrance through the Future Investment Program and ...
23.11.2020GrAI Matter Labs Raises $14M to Bring Fastest AI per Watt to Every Device on the EdgePARIS–(BUSINESS WIRE)–November 23, 2020– GrAI Matter Labs, a pioneer of brain inspired ultra-low latency computing, today announced its latest financing round of $14 million. The round was led by iBionext, joined by all existing investors a...
23.11.2020GrAI Matter Labs raises 13M€ round to boost commercialization of its neuromorphic chipsGrAI Matter Labs, a pioneer of neuromorphic ultra-low latency announced its latest round of financing, led by iBioNext and 360 Capital and other existing investors, bringing onboard Bpifrance and Celeste Management. The new round will allow...
18.09.2019GrAI Matter Labs Reveals NeuronFlow Technology and Announces GrAIFlow SDKMOUNTAIN VIEW, Calif.–(BUSINESS WIRE)–September 18, 2019– GrAI Matter Labs (aka GML), a neuromorphic computing pioneer today revealed NeuronFlow – a new programmable processor technology – and announced an early access program to its GrAIFl...
12.04.2018Neuromorphic Computing Pioneer Grai Matter Labs Raises $15m To Bring Ai To Every Device On The EdgeGrAI Matter Labs, a pioneer of ultra-low power neuromorphic computing, today announced it has closed its Series A financing round of $15 million. Inspired by the biology of the human brain, GrAI Matter Labs’ technology will be implemented a...

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