After 10 years of research and $100 million worth private funding, KnuEdge
has come out of stealth mode. KnuEdge is a neural technology innovation company that is aiming to transform human-machine interaction. The company has separate divisions for voice biometrics and data center neural computing both of which claim to deliver industry-changing products in fast-growing, multibillion dollar markets.
KnuEdge is engaged with hyper-scle computing companies and and Fortune 500 firms in the aerospace, banking, healthcare, hospitality and insurance industries. The company also claims that it has already raised $20 million in revenue.
The company has been launched by Dan Goldin, who has led the National Aeronautics and Space Administration (NASA) during the 90s and is currently stationed as the Founder and CEO of KnuEdge.
“We are not about incremental technology. Our mission is fundamental transformation. We were swinging for the fences from the very beginning, with intent to create technologies that will in essence alter how humans interact with machines, and enable next-generation computing capabilities ranging from signal processing to machine learning,” says Goldin.
New neural technologies
Coming out of stealth mode, KnuEdge introduced two neural technologies
that delivers military-grade voice recognition and authentication technology for voice interfaces to power next-generation computing, and KNUPATH LambdaFabric
, a new neural computing processing technology, which accelerates neural computing through an entirely different architecture than the GPUs, CPUs and FPGAs currently on the market.
How KnuVerse works
KnuEdge claims that the voice technology market has exploded over the past five years due to the introductions of Siri, Cortana and Alexa, the aspirations of most commercial voice technology teams are still on the drawing board because of security and noise issues. Based on patented authentication techniques using the human voice even in extremely noisy environments. This, according to the company, opens the door for innovation for enterprises in industries such as banking, entertainment and hospitality. This technology will make it possible to authenticate computers, web/mobile apps and IoT devices with only a few words spoken into a microphone in any language, no matter how many other people are talking nearby.
How KnuPath LambdaFabric works
Apart from KnuVerse voice technology solutions, the company unveiled KnuPath LambdaFabric which is designed to scale up to 512,000 devices and beyond in the most demanding computing environments. It has rack-to-rack latency of only 400 nanoseconds and first-generation low-wattage 256-core processors. While most computing technology on the market today are built on architectures that have not fundamentally changed in many years, KnuPath is completely new, based on neurobiological principles, and claims to reset the standard for chip/system-level computers in data centers and IoT devices.
“KnuEdge is emerging out of stealth mode to aim its new voice and machine learning technologies at key challenges in IoT, cloud-based machine learning and pattern recognition. Dan Goldin used his experience in transforming technology to charter KnuEdge with a bold idea, with the patience of longer development timelines and away from typical startup hype and practices. There is also a refreshing surprise element to KnuEdge announcing a relevant new architecture that is ready to ship not just a concept or early prototype,” says Paul Teich, Principal Analyst, Tirias Research.
According to the company, Goldin decided to start KnuEdge in 2005 and chose to buck traditional startup venture practices. He sought out a group of private investors who were willing to forgo a typical, incremental technology development phase of one to three years for a much longer time horizon. He stayed away from building large teams and high cash burn rates, and instead bootstrapped very small polyglot teams.
“We have collaborated with KnuEdge to develop an innovative processor which dramatically pushes the performance envelope for machine learning and artificial intelligence. We plan to incorporate KnuEdge solutions into Calit2’s Pattern Recognition Laboratory as we jointly push the boundaries of Big Data analytics,” says Larry Smarr, Director, California Institute for Telecommunications and Information Technology (Calit2).