Toronto-based Xaba, developer of a generative AI platform for zero-code industrial automation, has raised $6 million in seed extension funding led by Hitachi Ventures.The capital will support continued development and scaled deployment of Xaba’s proprietary AI control system for industrial robotics. The round also included participation from Hazelview Ventures, BDC Capital, Exposition Ventures, and Impact Venture Capital, bringing the company’s total funding to $8 million.

Xaba’s AI-powered platform enables industrial robots and systems to self-program and optimize operations without traditional coding. (Image courtesy of Xaba)

Xaba’s platform introduces a generative AI model for factory automation, enabling industrial robots, conveyors, and production lines to self-program and self-adjust without requiring traditional hardcoded programming. Its flagship solution, xCognition, allows operators to describe production tasks or KPIs in human-readable text, from which the system automatically generates robotic motion sequences and programmable logic controller (PLC) code.

“Traditional robotics systems require extensive programming, constant human supervision, and struggle with real-world variability,” said Massimiliano Moruzzi, CEO of Xaba. “We’re redefining automation by enabling robots and machines to self-optimize and execute complex tasks with minimal programming. The result is a dramatic reduction in waste and up to a 10x reduction in costs.”

The system incorporates a physics-informed machine learning model that replicates real-world conditions to provide real-time optimization across a range of machinery and motion platforms. Xaba’s proprietary generative AI architecture autonomously generates robot programs and PLC code by understanding operational workflows and machine logic. Its real-time process learning module, using data ontology and graph neural networks (GNNs), captures and maps complex relationships between machines, sensors, and processes. These functions are all supported by a universal AI control framework that integrates with both modern and legacy industrial systems, including CNC machines, robotic platforms, and PLC controllers.

Xaba’s platform is already being used in applications across key industries. In automotive manufacturing, it optimizes aluminum casting and machining processes, reducing assembly costs and production time. For robotic welding, it ensures consistent MIG and TIG weld quality while reducing cycle times. In robotic drilling applications, Xaba enables 10x faster production rates while minimizing manual intervention. In large-scale 3D printing, its xTrude platform optimizes fused deposition modeling (FDM) by dynamically adjusting parameters to prevent delamination and distortion, improving reliability and reducing material waste.

Industry adopters have reported dramatic improvements in throughput, quality, and cost efficiency. Marco Andriano, CEO and President of Fives Cinetic Corp, noted, “Together with Xaba’s xCognition, we’re delivering intelligent systems that transform decades of inefficiency into agile, scalable manufacturing environments—finally solving the most persistent programming and production challenges the industry faces today.”

“By giving industrial machines the ability to self-learn and self-program through generative AI, Xaba is turning the vision of smart manufacturing into a scalable reality,” said Gayathri Radhakrishnan, Partner at Hitachi Ventures.

Founded by a team with backgrounds at Boeing, Airbus, Lockheed Martin, and Lamborghini, Xaba is already working with partners in aerospace, automotive, and high-precision manufacturing.

About Xaba

Xaba is pioneering the application of industrial AI to modernize manufacturing processes. Based in Toronto, its flagship product, xCognition, empowers robots and collaborative machines with the ability to self-program and execute complex tasks such as welding, drilling, assembling, and additive manufacturing.

For more information, visit xaba.ai.

Source/Photo Credit: Xaba


(Editor’s Note: All trademarks mentioned in this article, including company names, product names, and logos, are the property of their respective owners. Use of these trademarks is for informational purposes only and does not imply any endorsement.)

Molly Bakewell Chamberlin
Latest posts by Molly Bakewell Chamberlin (see all)
Tagged