Where is Common Sense Machines headquartered?

Common Sense Machines is headquartered in Cambridge, Massachusetts, USA. The company has a team of 11-50 people.

What does Common Sense Machines do?

Common Sense Machines operates in the Generative Media (Image / Video) sector. Generative AI platform that converts 2D images, text, and sketches into production-ready 3D assets and simulations. CSM builds AI models that translate the world into 3D — turning 2D images/video into high-fidelity, production-ready 3D assets in minutes, dramatically cutting traditional 3D modeling time and cost.

When was Common Sense Machines founded?

Common Sense Machines was founded in 2020. It is based in Cambridge, Massachusetts, USA.

Who is the CEO of Common Sense Machines?

Tejas Kulkarni is the CEO of Common Sense Machines. The company was founded in 2020.

Where is Common Sense Machines located?

Common Sense Machines is headquartered in Cambridge, Massachusetts, USA.

What funding stage is Common Sense Machines at?

Common Sense Machines is currently at the Acquired stage.

How many employees does Common Sense Machines have?

Common Sense Machines has approximately 11-50 employees.

Common Sense Machines

Category: Generative Media (Image / Video)

Generative AI platform that converts 2D images, text, and sketches into production-ready 3D assets and simulations. Common Sense Machines was founded in 2020. The company is led by Tejas Kulkarni. Based in Cambridge, Massachusetts, USA. Team size: 11-50. Total funding raised: $10.1M. Latest round: Acquired. Key investors include AI Grant, Andreessen Horowitz, Blindspot Ventures, Glasswing Ventures, ISV Startup Springboard, Intel Capital, Toyota Ventures, Metropolis.

Founded: 2020
Headquarters: Cambridge, Massachusetts, USA
Team size: 11-50
Total funding: $10.1M

Value proposition

CSM builds AI models that translate the world into 3D — turning 2D images/video into high-fidelity, production-ready 3D assets in minutes, dramatically cutting traditional 3D modeling time and cost.

Products and solutions

CSM 3D generation platform (image-to-3D, text-to-3D, sketch-to-3D), integrations with Meta's Segment Anything Model 2 (SAM 2) for 2D-to-3D translation, synthetic world/data generation for robotics and perception, adaptive digital twins.

Unique value

Small, research-heavy team (MIT/DeepMind pedigree) leveraging open-source foundation models (e.g., Meta SAM2) to deliver production-ready 3D generation competitive with much larger-funded rivals.

Target customer

Game studios, e-commerce/retail (product visualization), robotics and simulation teams, metaverse/AI world-building companies.

Industries served

Gaming, e-commerce/retail, robotics, metaverse/entertainment, product visualization

Technology advantage

Deep generative 3D modeling research lineage from DeepMind/MIT; tight integration with Meta's Segment Anything Model 2; focus on production-ready (not just preview-quality) 3D asset output.

How they differentiate

Focus on production-ready, simulation-grade 3D outputs rather than just visual previews; strong research pedigree and open-source tool integration allowing a small team to compete with better-funded rivals like Luma AI and Meshy.

Main competitors

Meshy AI, Tripo3D, Luma AI (Genie), Hyper3D Rodin

Key partnerships

Meta (Segment Anything Model 2 integration), 3D Cloud (product visualization, announced Feb 2025), Google Cloud gaming AI partner cohort (alongside nunu.ai, ElevenLabs, announced at GDC 2025), acquired by Google/Alphabet (deal closed Jan 24, 2026) for Gemini 3D capabilities.

Major milestones

2020: Founded by Tejas Kulkarni and Max Kleiman-Weiner. Integrated Meta's Segment Anything Model 2 for 2D-to-3D translation. Feb 2025: Partnership with 3D Cloud for product visualization. Mar 2025: Announced as Google Cloud gaming AI partner at GDC. Jan 24, 2026: Acquired by Google (Alphabet) to enhance Gemini's 3D generation capabilities, last private valuation $15M. Confirmed as current CEO by Tracxn 2026 profile.

Market positioning

Research-driven challenger in the generative 3D AI space, positioned toward production/enterprise use cases (gaming, robotics, retail) rather than consumer novelty tools.

Geographic focus

Primarily US-based competition, with global reach via cloud-delivered SaaS platform.

About Tejas Kulkarni

Ex-Senior Research Scientist at Google DeepMind; PhD in Computational Cognitive Science from MIT. Co-founded multiple AI companies prior to CSM, with successful exits.

Latest news about Common Sense Machines

Google acquired Common Sense Machines (CSM) to bring high-fidelity 3D world modeling to its generative AI stack. Founded by MIT and DeepMind alumni, CSM transforms 2D images into production-ready 3D a

More Generative Media (Image / Video) companies

Official website: https://csm.ai