Category Archives: Artificial Intelligence

Augury to Acquire Seebo

NEW YORK, NY and TEL AVIV, Israel, May 13, 2022 – Augury, the leading provider of IoT and Industrial AI solutions that improve health and reliability of machines for manufacturing and industry, today announced it has signed a definitive agreement to acquire Seebo, a leader in AI-based process intelligence. The deal is a combination of cash and stock and is valued between $100 million and $200 million.

Augury’s Machine Health solutions help companies ranging from Colgate and PepsiCo to ICL and Essity predict machine reliability and performance issues to eliminate downtime and increase production efficiencies. Seebo’s Process-Based Artificial Intelligence provides manufacturing teams with the insights to optimize processes in the face of multiple, often-conflicting objectives such as improving quality, throughput and yield while reducing waste, energy consumption and emissions.

Together the companies will provide a never-before possible, AI-driven view into the interplays between the diverse factors that influence overall production health. These correlated insights will enable customers to take actions that improve asset performance, process optimization, quality, sustainability and safety.

“Manufacturers realize their competitiveness depends on empowering their frontline teams. However, methodologies like TPM and IWS can only drive production gains so far, without accurate insights into the inter-related ways that processes, materials, environment and equipment impact production health,” said Saar Yoskovitz, CEO of Augury. “The lack of a unified platform to provide these insights stifles collaboration and progress. The combination of our full-stack machine health platform and Seebo’s process-based AI will give cross functional teams the correlated view they need to transform how they work, and unlock $1 trillion in untapped production potential from existing facilities worldwide.”

Some of the world’s leading manufacturers and industrial companies are already making strides on this journey, and see the combination of machine health and process health as foundational to their long-term objectives:

“We’ve applied Augury’s Machine Health Solutions to reduce downtime and increase capacity as a foundation of our digital transformation. Our next goal is the integration of those machine-level insights with other variables, from product mix to environmental or process changes, that let us control quality, yield and efficiency in ways we can’t today,” said Warren Pruitt, VP global engineering services at Colgate-Palmolive. “We see the combination of capabilities that Augury and Seebo are working to bring together as exactly the right approach to helping us maximize production health and achieve our other goals around sustainability, workforce engagement and profitability.”

Scott Reed, SVP of service operations at GAF, said, “The building materials industry is working to maximize production to meet global demand for construction, and to do so in more sustainable ways than ever. GAF has ambitious goals on both those fronts, and we see greater adoption of the kinds of AI driven technologies Augury is pioneering as crucial to our efforts and those of our industry. By getting greater insight across our materials, processes and equipment we can increase capacity, reduce waste, maintain quality and stay aligned to our business metrics all at the same time. That’s something that’s been very hard to do in the past.”

“Production health, a combination of machine health and process health, allows industrial companies to embrace digital transformation more holistically,” said Michael Guilfoyle, vice president, energy transition and industrial sustainability at ARC Advisory Group. “With this acquisition, Augury now provides AI-driven production health, delivering a path for its customers to extend the optimization of their existing production processes. The potential for value is significant, mainly through the ability to integrate previously siloed work groups and their key use cases to greater effect, from improved uptime and emissions reduction to greater yield improvement and quality assurance.”

The transaction is expected to close at the end of May, at which time Seebo’s founders Lior Akavia and Liran Akavia, as well as other Seebo executives, will join Augury’s management team.

About Augury

Augury Machine Health solutions eliminate downtime, reduce maintenance costs and maximize productivity for critical machines in industrial and commercial applications. Augury’s solutions combine advanced sensors with powerful AI capabilities and collaboration tools to help teams understand when machines and the processes that depend on them are at risk, coupled with the actionable insights customers need to prevent failures before they threaten production or productivity.

About Seebo

Seebo helps customers unlock the full potential of their production lines. Seebo Process-Based Artificial Intelligence empowers manufacturing teams to achieve global process optimisation across multiple, conflicting objectives – from improving quality, throughput and yield, to reducing waste and scrap, cutting energy costs and lowering emissions.

Daimler Truck Makes Strategic Investment in Apex.AI

PALO ALTO, CA, May 6, 2022 – Apex.AI, a company developing safety-certified software for mobility and autonomous applications, announced that Daimler Truck, one of the world’s leading commercial vehicle manufacturers, has made a strategic minority investment in the company.

Apex.AI has developed an industry-leading suite of automotive safety-certified software solutions, including the Apex.OS operating system. The software suite serves as the foundational infrastructure on which smart machines operate in the automotive, agriculture, mining, IoT and industrial automation industries.

“This strategic investment from Daimler Truck demonstrates its forward-thinking nature by ensuring that our scalable applications continue to drive software defined vehicle development for the entire industry,” said Jan Becker, co-founder and CEO, Apex.AI. “Our powerful solutions are purposely designed with simplicity in mind. That’s the approach that’s changing the way companies in a wide range of industries develop their future vehicle technologies.”

The Apex.OS SDK enables automotive software developers to create safe, reliable, real-time applications more efficiently. Like Apple’s iOS SDK, which allows practically anyone to create an iPhone app, Apex.OS makes programming for a vehicle or robot almost as easy as programming a phone. The result is significantly shortened development cycles of new mobility functions, all of which are created on a bedrock of software that’s recognized for having the highest safety standards.

Apex.AI’s flagship Apex.OS operating system is an operating system that has earned the highest safety certifications in the industry, including product certification from German testing organization TÜV Nord and the highest level of automotive software safety ISO 26262 ASIL-D. Passing these rigorous testing programs means that the software system is approved for serial production.

With this investment, Daimler Truck joins an impressive array of previously announced, world-class strategic investors, including Toyota Ventures, Volvo Group Venture Capital, Jaguar Land Rover’s InMotion Ventures, Airbus Ventures, Continental AG, ZF, AGCO, and HELLA Ventures.

About Apex.AI

Apex.AI is a global company headquartered in Palo Alto, CA developing breakthrough safe, certified, developer-friendly, and scalable software for mobility systems. The company’s flagship product is Apex.OS, a robust and reliable meta-operating system that enables faster and easier software development for mobility, smart machines and IoT. The associated software development kit targets two main customer groups: OEM developers who need to implement complex, integrated AI software in machines or vehicles, and autonomous mobility developers who can now implement safety-critical applications easily and reliably.

AiM Future Joins Edge AI and Vision Alliance

SAN JOSE, CA, Apr 29, 2022 – AiM Future, a leader in embedded machine learning intellectual property (IP) for edge computing devices, today announced it has joined the Edge AI and Vision Alliance.

Image Credit – 2001 : A Space Odyssey

AiM Future is accelerating the transition from centralized cloud-native AI to the distributed intelligent edge. Its market-proven NeuroMosAIc Processor (NMP) family of machine learning hardware accelerators and software, NeuroMosAIc Studio, enables the efficient execution of deep learning models common to computer vision applications. Shipping in smart home devices since 2019, the co-designed hardware and software offer a highly flexible and scalable solution meeting end-application performance, power, and cost requirements from always-on, battery-operated cameras to high-performance edge infrastructure.

“It is our company’s pleasure to join the Edge AI and Vision Alliance,” said ChangSoo Kim, founder, and CEO of AiM Future. “As a premier organization for technology innovators revolutionizing artificial intelligence across the edge computing spectrum, the partnership is a natural fit. It is clear AiM Future’s vision of bringing the impossible to reality is shared by the Alliance and its ecosystem. The field of edge AI is rapidly advancing and partnerships are fundamental to addressing the many challenges and limitations of today’s edge devices.”

“Today, more and more devices and systems are gaining the ability to see and understand their environments,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “And thanks to visual perception, these machines are becoming more autonomous, safer, more capable and easier to use. With its processing architecture and accompanying toolset, AiM Future is implementing an intriguing approach to deep learning inference acceleration. We welcome AiM Future as one of the Edge AI and Vision Alliance’s newest members and look forward to their participation at the Embedded Vision Summit.”

If the application of machine vision is of interest to you, please visit AiM Future where it will be demonstrating its products at Booth #522 during the Embedded Vision Summit, May 16-19, at the Santa Clara Convention Center.

About AiM Future

Based in Seoul, South Korea, the company was founded in late 2020 with LG Electronics as a strategic investor. Subsequently, it attracted a seed round investment from a group of leading venture capital firms like We Ventures, KB Investment, and D.Camp. The company is focused on the development of neural network hardware accelerator IP and compiler software. Its flagship NeuroMosAIc architecture achieved commercialization in 2019 and the company has executed several license agreements with partners around the world.

About the Edge AI and Vision Alliance

The Edge AI and Vision Alliance is a worldwide industry partnership bringing together technology providers and end-product companies to accelerate the adoption of edge AI and vision in products.

For more information, visit www.edge-ai-vision.com.

Siemens’ SynthAI Revolutionizes Machine Vision Training

PLANO, TX, Apr 13, 2022 – Siemens Digital Industries Software’s SynthAI service is delivering the power of machine learning and artificial intelligence to solve the challenge of training machine vision systems.

SynthAI service is using the power of machine learning and artificial intelligence to solve the challenge of training machine vision systems.

“We were looking for a quick and easy solution that will enable us to detect wire terminals in a robotic electric cabinet assembly station. With SynthAI our control engineers were able to achieve great results within just a few hours,” said Omer Einav, CEO, Polygon Technologies. “The tedious task of annotating a large set of training images to train the model was shortened significantly. The results show great promise for many additional use cases we plan to handle with SynthAI.”

Machine learning is used for a variety of vision-based automation use cases such as robotic bin picking, sorting, palletizing, quality inspection and more. While usage of machine learning for vision-based automation is growing, many industries face challenges and struggle to implement it within their computer vision applications. This is due to the need to collect many images of the parts in question and the challenges associated with accurately annotating the different products within those images – particularly before production or manufacturing begins.

To solve this challenge, synthetic data is used to speed up the data collection and training process. However, utilizing synthetic data for vision use cases requires expertise in synthetic image generation and can be complex, time consuming, and expensive. This is where Siemens’ SynthAI changes the game.

Rather than waiting for preproduction parts to be ready or using complex processes to generate synthetic data, machine vision specialists only need to provide 3D CAD data of the parts. SynthAI will then automatically generate thousands of randomized annotated synthetic images within minutes without the specialist knowledge typically required.

SynthAI will also automatically train a machine learning model that could be used to detect your product in real life. Once the training is done, the trained model can be downloaded, tested and deployed offline – using no more than a little Python coding. If organizations prefer to handle training of their own systems, complete synthetic image datasets together with the annotations are also available.

“The market for Artificial Intelligence for Machine Vision is expected to reach $25B by 2023, but there are many challenges facing those looking to take advantage of its benefits,” said Zvi Feuer, Senior Vice President and General Manager Digital Manufacturing at Siemens Digital Industries Software. “SynthAI demonstrates how Siemens is taking its depth of knowledge in both product engineering systems as well as production preparation and planning and finding room for innovations that allow our customers to take advantage of tomorrow’s technology, today.”

To learn more about Siemens’ SynthAI visit their website.

About Siemens Digital Industries Software

Siemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. The Xcelerator portfolio helps companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities and levels of automation to drive innovation.

For more information on Siemens Digital Industries Software products and services, visit siemens.com/software.