Abhay Parasnis

Common Sense Machines is training artificial intelligence that learns to translate the visual world into a 3D simulation for people and machines. 3D simulations have great value; we build 3D models to create photorealistic images of products and spaces at a fraction of the cost of photography, develop diverse assets for game and augmented realities, use CAD to prototype and print new parts, or create synthetic worlds to test and train autonomous systems. But 3D models are still too slow, hard, and expensive to create. Common Sense Machines is building a Real-to-Sim platform for creating build human-like 3D models with machine-like speed and scale. Common Sense Machines was founded by a group of PhDs and faculty from MIT. We have worked on large AI systems at DeepMind and have collectively founded three companies with successful exits. The company is based in Cambridge, MA. We are venture-backed and looking to expand our team of scientists and engineers.

Investing in great founders with salient capital

Schneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems—enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and one million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies. www.se.com Follow us on: https://www.facebook.com/SchneiderElectric https://www.x.com/SchneiderElec https://www.x.com/SE_Careers https://www.instagram.com/schneiderelectric https://www.youtube.com/schneiderelectric https://www.tiktok.com/@schneiderelectric_global

Typeface is the generative AI application to supercharge personalized content creation for businesses. By uniting content velocity with brand personalization and control, any enterprise can now create exceptional, on-brand content faster and easier than ever before.

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Common Sense Machines is training artificial intelligence that learns to translate the visual world into a 3D simulation for people and machines. 3D simulations have great value; we build 3D models to create photorealistic images of products and spaces at a fraction of the cost of photography, develop diverse assets for game and augmented realities, use CAD to prototype and print new parts, or create synthetic worlds to test and train autonomous systems. But 3D models are still too slow, hard, and expensive to create. Common Sense Machines is building a Real-to-Sim platform for creating build human-like 3D models with machine-like speed and scale. Common Sense Machines was founded by a group of PhDs and faculty from MIT. We have worked on large AI systems at DeepMind and have collectively founded three companies with successful exits. The company is based in Cambridge, MA. We are venture-backed and looking to expand our team of scientists and engineers.