Xaba Raises $ 2Million for Intelligent Self-Programming Robots in Manufacturing
Funding will enable Xaba to democratize robotic automation and drive sustainable manufacturing
Xaba, developer of the first AI-powered cognitive software solution to automate programming and deployment of robotics and CNC machines, announced it has raised US$2 million in a seed extension round of funding to bring to market AI-driven fabrication processes and intelligent autonomous machines. The funding round was led by BDC Capital’s Deep Tech Venture Fund with participation from Hitachi Ventures and existing investor Hazelview Ventures. The investment will be used to establish and staff a new robotics lab and accelerate the delivery of two Xaba manufacturing platforms.
Xaba is augmenting industrial robots and cobots with xCognition, an artificial intelligence (AI)-powered software solution. xCognition leverages innovative proprietary machine learning algorithms to model the elasto-mechanical-dynamic behavior of industrial robotics and cobots, as well as workpiece variances. This includes variances in location and shape, using proprietary rule-based language models to eliminate coding of robotics programs. xCognition solves the challenges of deploying industrial robots by completely automating how they are programmed and adopted. This solution not only increases accuracy, consistency, and throughput, but also significantly reduces the time and costs of robotics deployments.
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“AI represents a wave of change in the automation industry, removing significant barriers to technology adoption in manufacturing and other industrial sectors. Xaba is a great example of how the integration of AI is empowering industrial robotics technologies – enabling them to self-generate programs, substantially improve their accuracy and precision, and provide highly valuable feedback to users,” said Thomas Park, lead partner of BDC Capital’s Deep Tech Venture Fund. Concurrent with the funding round, Park has been appointed to the Xaba board of directors.
This year, Xaba partnered with Lockheed Martin and Rolleri Robotic to demonstrate 10 times performance improvements in absolute positioning, and five times improvements in relative positioning and trajectory accuracy for cobots using Xaba’s manufacturing platforms.
“With the integration of AI-powered cognition and awareness, robots become easy to adopt and profitable for businesses across various tasks and sizes,” said Massimiliano Moruzzi, CEO of Xaba. “With this funding in place, we can now establish our Xaba manufacturing platforms as the go-to solutions for implementing new intelligent robotics, creating automated factories, and developing disruptive new processes and materials.”
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“Cognitive systems will be the future of next generation robotics and Xaba’s AI-based software solution has demonstrated that it can elevate the performance of high precision robotics such as welding and drilling by enabling adaptive learning, real-time decision-making, and seamless human-robot collaboration,” said Gayathri Radhakrishnan, Partner at Hitachi Ventures. “As a well-known force in this industry, with a strong focus on robotics and manufacturing, an investment in Xaba gives us the ability to explore this domain further.”
Industrial Artificial Intelligence Solutions for Manufacturing
Xaba has two manufacturing platforms – xCognition and xTrude – which use proprietary, state-of-the-art industrial artificial intelligence (AI) to provide AI-powered cognitive industrial automation, consistency, robustness and high execution quality. Its platforms eliminate the need for constant human supervision, reprogramming, and waste – factors that significantly impact the return on investment of any major manufacturing or construction process.
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xCognition is Xaba’s AI-powered software solution. This industrial robotics digital twin captures and models the true physics of any industrial robotics system (elastic, dynamic, mechanical, tooling). This includes workpiece variances both in location and shape, leveraging rules-based language models and multi-modal datasets that capture legacy data and best practices to enable any robotics system to execute tasks such as drilling, welding (MIG, TIG & Laser), assembling, riveting, laser, data acquisition, and more with maximum accuracy, repeatability, and minimum human supervision.
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