GrayMatter scores $45M for robots that speed-up manufacturing with 'physics-informed AI'
How does GrayMatter's AI enforce physics-based process models?
GrayMatter's AI, called GMR-AI, enforces physics-based process models by using known models and knowledge as constraints in the AI system3. This ensures that the AI doesn't learn anything that contradicts existing knowledge. For example, the system can enforce a constraint that increasing pressure on a sanding tool will increase the deflection of the part being sanded36.
What tasks do GrayMatter's robotic cells autonomously perform?
GrayMatter's robotic cells autonomously perform tasks like sanding, buffing, polishing, spraying, coating, blasting, and inspection in manufacturing operations4. These tasks are traditionally labor-intensive and ergonomically challenging, and their intricate nature has prevented them from being automated until now.
How much funding has GrayMatter raised in its series B round?
GrayMatter has raised $45 million in its Series B funding round, led by Wellington Management. This brings the total capital raised by the company to $70 million, with participation from multiple new and existing investors.