
Meshy empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in seconds.

Meshy empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in seconds.
What they do: AI platform for fast generation, editing, and export of production-ready 3D models and assets
Founded / HQ: Founded 2021; San Jose / Santa Clara, California
Founder / CEO: Dr. Ethan Hu
Target users: Artists, game developers, and creators
Enterprise features & compliance: SSO, dedicated accounts, separate data storage, SOC2 Type II, ISO27001, GDPR
| Company |
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3D content creation for games, media, and interactive applications
2021
Technology, Information and Internet
Stage: Pre-Seed
About Meshy Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity . Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and $1,000 now takes 2 minutes and $1 .
Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV.
Ethan Yuanming Hu serves as the founder and CEO. Ethan got his Ph.D. in graphics and AI from MIT, where he developed the Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His Ph.D. thesis got a honorable mention of SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and his research has been cited over 2700 times. his favorite animal is the llama.
About The Role We are hiring a Senior Analytics Data Engineer to own pipelines, schemas, and statistical tooling that transform raw product events into trusted insights. You’ll move comfortably between deep data‑engineering (CDC pipelines, event queues, object‑store reconciliation) and analytics craft (basic statistics concepts, experiment design, BI dashboards, and insights/analysis). Your work will have a high impact and drive key decisions across data infrastructure, product, marketing, growth and finance.
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