AI-enabled marketplace connecting manufacturers with on-demand production capacity
Xometry operates a two-sided marketplace for on-demand manufacturing, matching buyers (startups through Fortune 100 companies) with a vetted network of production facilities. The tech stack reveals a data and ML-first operation: Snowflake + MongoDB for data infrastructure, scikit-learn + PyTorch + SageMaker for model training, and recent Terraform adoption suggesting infrastructure-as-code maturation. Active projects around manufacturing cost prediction and sales forecasting, paired with pain points in supplier quality and on-time delivery, indicate the company is investing heavily in supply-chain predictability and buyer-side automation.
Notable leadership hires: Marketing Director, Director of Marketing, Sales Strategy Lead
Xometry is a NASDAQ-listed marketplace platform founded in 2013 that automates the sourcing and quoting of custom manufactured parts. The platform connects designers and engineers with a nationwide network of machine shops, foundries, and injection molding facilities, offering capabilities in CNC machining, 3D printing, sheet metal fabrication, and casting. Buyers range from seed-stage startups to Fortune 100 companies; sellers are manufacturing service providers across the United States and internationally. The company is headquartered in the Washington DC–Baltimore area and employs 1,001–5,000 people across product, sales, operations, manufacturing partnerships, and data science functions.
PyTorch, TensorFlow, scikit-learn, Hugging Face transformers, and AWS SageMaker. Data infrastructure runs on Snowflake, MongoDB, and SQL, with analysis and visualization in Looker and Jupyter notebooks.
United States, Brazil, India, Philippines, Poland, Germany, United Kingdom, Netherlands, Australia, and 11 others across Eastern Europe, Central Asia, and Europe.
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