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Shorooq and Presight, a G42 subsidiary, participated in the $100 million Series A round for US-based Maven Robotics, which develops autonomous industrial robots for logistics and manufacturing. Maven will use the funding to expand production of the third generation of its robots, develop the fourth generation, and broaden the scope of material-handling tasks.
Vantora, formerly known as UP.Labs, raised a $100 million investment from Silversmith Capital Partners to expand its model of building startups tailored to industrial partners. The company is shifting its focus to physical AI solutions that owner companies can integrate into their businesses and retain.
Treble, the developer of a platform for simulating and testing audio applications, has raised an additional $18 million as part of its Series A round, bringing its total funding to more than $40 million. The company targets AI labs and manufacturers of wearable devices and robots by generating synthetic audio data and testing models in real-world conditions.
Italian company Exein has raised a $270 million funding round led by Headline, bringing its valuation to $1.7 billion and making it Europe’s latest unicorn. The company plans to direct the funding toward acquisitions, hiring, and developing a security model for physical AI.
Japan’s Ministry of Economy, Trade and Industry requested an almost record budget for fiscal 2027, with substantial allocations for artificial intelligence, robotics, semiconductors, critical minerals and measures to address the risk of supply shortages.
Ricoh announced the development of technology based on a Latent Action Model to teach robots actions such as grasping and moving objects from image and video data, without relying entirely on a specific robot architecture. The company tested the technology in a simulation environment built on physical conditions, using AWS services to reduce the cost of data collection and model training.
Japanese company Aster, which specializes in artificial intelligence technologies for manufacturing, announced a collaboration focused on producing motors that use aluminum, alongside a vision for a factory in which physical AI technologies and operational data are integrated across production stages.
INSOL-HIGH has begun operating the J-HRTI facility to collect training data for humanoid robots, with capacity for up to 40 robots and the recording of operator interactions with a range of industrial tasks. The initiative aims to provide data that will help physical AI models learn to perform work in real-world environments.
ARUM has announced the joint development of cutting machines equipped with “physical AI” capabilities through the TTMC Type-M and TTMC Type-L platforms and the TTMC Brain system. The project aims to automate the recognition of manufacturing data, process design, NC programming, and robot movement from October 2026 to September 2030.