A game changing technology that is poised to cause a significant paradigm shift in the industry:
Autobrains is redefining deep learning as we know it by implementing neuro-inspired, signature-based self learning AI perception software that accurately replicates human driving.
Autobrains, an AI-first mobility company developing ground-breaking self-learning technology for advanced driving assistance systems and autonomous driving, announced today the completion of a $120 million Series C financing led by Temasek and including existing investors Continental and BMW I Ventures as well as new investors Knorr-Bremse AG and VinFast.
The self-learning AI developed by Autobrains is fundamentally different from traditional deep learning systems.
Its self-learning AI is not dependent on massive amounts of brute force data or labeling.
The system converts unstructured, real-world data to compressed signatures in order to identify concepts and scenarios that facilitate optimal decision-making.
This funding will be used to advance Autobrains’ technology, enabling the company to accelerate its development into the next generation of autonomous vehicles and mobility.
Autobrains intends to use the funding to further develop its self-learning AI learning technology and expand into new domains such as trucking.
Autobrains will expand their commercial reach into new global markets and expand their presence in Asia, Europe, and the United States with the support of existing and new OEMs and Tier-1s from this latest funding round.
Autobrains is rapidly progressing toward full autonomy by addressing a challenge that has eluded competitors: overcoming the 1% margin of error in autonomous driving.
” The immense success of this most recent funding round demonstrates that Autobrains is a key player in leading the future of mobility which will be powered by AI,” said Karl-Thomas Neumann, Autobrains’ Chairman. “It’s invigorating to see the degree in which our self-learning AI solutions to ADAS and autonomous driving are transforming the next generation of mobility to create real automation.”
With trillions of dollars being invested in the self-driving industry, demand for better and safer solutions is expected to continue to grow in the coming years, fueled by legislation and NCAP testing.
Despite significant advancements in recent years, the unresolved issue with self-driving applications remains the limitations of AI technologies in unusual scenarios.
“Autobrains’ technology holds the promise we have all been looking for to create the paradigm shift in the industry to self-learning AI, bridging the gap to fully autonomous driving,” said Thuy Linh Pham, Deputy CEO VinFast. “Autobrains captured our attention by applying self-learning AI software, as opposed to traditional software that is based on manually labeled data, to make self-driving vehicles adaptive to unprecedented behaviors in real-time. We expect that Autobrains will actualize this ambitious goal into a reality in the near future.”
Current market solutions are unable to handle unpredictable edge-cases without the addition of more complex, self-learning algorithms – these are critical enablers for truly transforming the automotive industry.
The self-learning application developed by Autobrains overcomes these obstacles.
Autobrains’ AI technology is designed to learn like the human brain does through neural networks and process information in the same way humans do.
The avant-garde approach employs “human learning” through the use of signature-based technology, enabling cars to autonomously learn, collaborate, and interact with the real world, utilizing data and scenarios from the car’s surroundings to enable real-time decision-making similar to that of the human brain.
“We feel that Autobrains’ technology has parlayed autonomous vehicles into the tangible present, bridging the industry gap with our breakthrough AI technology,” said Igal Rachelgauz, Autobrains’ CEO. “Our newest product offers unparalleled features to any other technology on the market, functioning with a higher degree of accuracy and capability to predict even the most challenging scenarios like school zones, construction sites, even off roading. Our mission is to become the market leader in providing self-driving solutions that are safer, more affordable with superior performance in edge-cases.”
Autobrains’ novel and refreshing commercial strategy leverages its open-AI platform, which is customized to the specifications of each of its partners.
This is in stark contrast to current solutions, which provide a black box software bundle and chip in a “one size fits all” package, which has become clear in recent years to no longer meet market demands.
Autobrains has the precise solutions for the next generation of vehicles and mobility, requiring 10x less computing power than existing systems, consuming less energy, and costing up to 40% less.
“Autobrains’ proven self-learning AI technology has the potential to disrupt ADAS and HAD development in the truck industry. The Autobrains video perception software operates in a fundamentally different way from traditional deep learning systems. The Autobrains approach requires less data and computing power, which can significantly reduce development times and costs. In addition, it is independent from the underlying hardware.” Dr. Jan Mrosik, interim CEO of Knorr-Bremse AG and interim head of the Commercial Vehicle Systems division.
Dr. Jürgen Steinberger, a member of the Knorr-Bremse Commercial Vehicle Systems management board, adds: “This groundbreaking technology enables Knorr-Bremse to react quickly and flexibly to the various requirements in the commercial vehicle business, which is characterized by a wide variety of vehicle types with different installation situations and newly upcoming legislation. This flexibility is especially needed for certain markets in Asia. That’s why this strategic investment fits well into our ADAS and HAD strategy for the commercial vehicle sector.”
