The first of two Batch 16 Deep Dive sessions on Advanced Manufacturing featured a carefully selected group of startups from around the world, handpicked by Plug and Play Mobility. These startups presented solutions across a range of advanced technologies, including:
Robotics
AI for CAD designs
AI co-pilots
Automated inventory management
Electric vehicles (EV)
Energy solutions
After the presentations, a networking session provided corporate partners the opportunity to meet face-to-face with the startups they were interested in. There was significant interest from many corporate partners, leading to in-depth discussions about potential collaborations. The session helped foster valuable connections, with several follow-up meetings planned based on the strong engagement from attendees.
T-robotics uses end-to-end neural networks and constraint-based programming to train AI skills for robots. These skills are directly deployable on all major commercially available robot brands. These skills allow these robots to fail less, perform complex tasks, and program easily.
T-robotics introduces a pioneering controller box featuring our ActGPT software, seamlessly adaptable to various mechanical systems including robot arms, mobile robots, and humanoids. Harnessing sensor data, it intuitively comprehends the system’s mechanical capabilities, enabling natural language programming. This innovative feature empowers users without technical backgrounds to effortlessly interact with ActGPT and control the robot. ActGPT executes tasks effortlessly, leveraging its extensive library of robotic skills crafted through constraint-based programming with dynamic time horizons
Staxel develops automated inventory storage. Our autonomous mobilt robots eliminate labor and our AI interacts with people and optimizes inventory operations.
They develop fully autonomous inventory storage by combining proprietary hardware (patent-pending mobile robots & containers) with AI-powered software.
Reforge Robotics develops software that streamlines robotic operations by eliminating the need for fine-tuning and complex programming.
The initial product of Reforge Robotics (“Reforge”) is anti-vibration software for robot arms called Axel. It prevents vibration when cutting (or “machining”) metal and makes robots very accurate despite their lack of rigidity. Users can simply upload a 3D model and select the desired features and operations. This eliminates hours or even days of traditional programming, making the system highly user-friendly and efficient.
Reforge's long-term plan is to design low-cost manufacturing systems that use software to reduce the price of the hardware. This is because the overarching purpose of Reforge is to dramatically reduce the cost of manufacturing through this integrated design of machines.
Diplo AI is at the forefront of transforming automotive regulatory compliance with its cutting-edge AI-powered platform. By identifying relevant automotive regulations quickly and accurately, Diplo AI enables faster market launches and helps avoid compliance issues. The platform is designed to work seamlessly with your vehicle or component details, identifying all pertinent regulations for the specific system and collaborating with an AI agent to finalize comprehensive regulatory reports.
Diplo AI’s GenAI platform supports 3 out of the 10 largest OEMs, helping them launch products faster while avoiding regulatory issues. This robust support underscores Diplo AI’s commitment to excellence and reliability in the automotive industry. Diplo AI empowers automotive companies to navigate the complex landscape of global regulations with ease and precision, ensuring faster, more efficient, and compliant product launches.
Our company utilizes the surplus energy in EV batteries to support the grid while generating revenue for EV owners. Our advanced AI software efficiently manages transactions between energy companies and EV owners, enabling participation in incentive programs like energy arbitrage, making money for EV owners by Just Plugging In.
Our company utilizes the surplus energy in EV batteries to support the grid while generating revenue for EV owners. Our advanced AI software efficiently manages transactions between energy companies and EV owners, enabling participation in incentive programs like energy arbitrage, making money for EV owners by Just Plugging In.
Cafler is on a mission is to deliver the world’s leading digital automotive platform and make vehicle mobility needs solutions accessible to everyone, everywhere.
It's an all-in-one marketplace platform for everything that a car owner needs, from at-home services (maintenance, washings…) to insurance, parking, financing, renting, everything one-click away. They serve end-users and enterprises, working with brands like Renault, Tesla, Sixt, or Michelin. Their vision is to become the super-app/ marketplace for vehicle consumers, and the all-in-one operating system (vertical SaaS) for automotive companies.
Syn2core develops a multimodal AI co-pilot that interacts through smart wearables with front-line workers, e.g., in automotive assembly, to minimize human errors via live on-the-job audio feedback. In the short/medium term, they will empower humans via AI and the swarm intelligence of the team. In the long run, they will leverage the collected process data to enable humanoids.
Mimic provides a flexible and intuitive answer to labor shortages by building and deploying robots that fit seamlessly into human workplaces. Their scalable foundation AI model enables truly dexterous robotic manipulation by learning directly from human data, for easy deployment and production scaling. This universal robotic manipulator is designed to handle environments and tools made for humans. Engineered to reliably handle tough work conditions just as well as fragile objects, it is a platform to enable Mimic's AI models to act with human-like manipulation skills.
Mimic offers a flexible and intuitive solution to labor shortages, integrating seamlessly into human workplaces. By training their robots on diverse, large-scale human video data, they effectively break traditional scaling laws for AI in robotics, enabling rapid generalization to new, unseen tasks with minimal fine-tuning.