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Quadric.io Announces $15M in Funding to Build First Ever Supercomputer for Edge Devices

Series A round led by DENSO Group Company, NSITEXE, Inc., which will also use Quadric.io’s supercomputer for future electronic systems in autonomous vehicles


Burlingame, CA, USA – WEBWIRE
Quadric Supercomputer (Autonomy Application)
Approximate size: 4” x 6”
Quadric Supercomputer (Autonomy Application) Approximate size: 4” x 6”

Quadric.io is making a bold entrance into the computing space today, announcing it is building the world’s first supercomputer specifically designed for the real-time needs of autonomous systems. Built to increase computation speed while reducing power consumption, Quadric’s supercomputer can lead to increased safety and performance in better designed machines. 
 
While innovative developers are reinventing existing machines to be more efficient and responsive across multiple trillion dollar industries like construction, transportation, agriculture, and warehousing, the underlying technology supporting these machines either lacks the performance or solves only a small part of the full application. These new machines incorporate autonomous functions that require near instantaneous processing speed and responsiveness “on the edge” (at the machine level, not in the cloud).  
 
Co-founded by three experienced technologists with prior start-up exits, Quadric.io has completely rearchitected the full stack -- going from silicon to software -- to meet the unique needs of computing on the edge. Quadric’s technology enables both high performance computing and artificial intelligence in a single unified architecture. Built around the Quadric Processor®, Quadric’s supercomputer is plug-and-play, enabling innovators to plug in their sensor set and build their entire application to support near instantaneous decision making. Early testing of Quadric’s system has shown up to 100x lower latency and a 90% reduction in power consumption.
 
The funding round is led by strategic investor DENSO Group Company, NSITEXE, Inc. DENSO CORPORATION is a tier 1 automotive company, who will also be one of Quadric’s customers for future electronic systems in all levels of autonomous driving solutions. 
 
“Instead of building a heterogeneous system with CPUs/GPUs/FPGAs & AI chips and dealing with that complexity of software and hardware integration, Quadric has the technology to handle most of the application in a single unified hardware architecture and software model,” said Hideki Sugimoto NSITEXE, Inc. and DENSO CORPORATION. “The integrated approach achieves better latencies that improves safety of automotive ADAS implementations.”
 
“We’re developers ourselves and have seen the shortcomings of existing technologies for real-time edge computing -- we’re building the Quadric platform to address this and unlock new capabilities that will accelerate development of autonomous systems,” said Veerbhan Kheterpal, CEO and co-founder of Quadric.io. “Quadric is the next step in the virtuous cycle of better platforms enabling better algorithms, leading to better app engagement that in turn drives better innovation.” 

In addition to Denso, Leawood VC participated in the Series A round, and Pear, Uncork Capital, SV Angel, Cota Capital, and Trucks Venture Capital were seed investors.

“As the earliest investor in Quadric, we invested in the company because of the massive market opportunity for edge computing and the technical talent of the co-founders,” said Mar Hershenson, Managing Partner at Pear. “The team is experienced with developing and shipping sophisticated processing technology with limited start-up resources. In just two years they have gone from zero to early system prototypes.”   

About Quadric
Founded in 2016 and based in Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today.  The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the bitcoin computing company 21.
 


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 supercomputer
 self driving
 edge devices
 robotics
 computing


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