Xometry announced an updated process recommender to its AI-powered Instant Quoting Engine, expanding coverage of manufacturing processes and improving accuracy. As CAD files are uploaded to the Xometry marketplace, the new process recommender instantly analyzes the geometric features of the file, identifies the most appropriate manufacturing process for the customer, and configurations their quote. The new recommender is also trained to assess a customer's specific quote and order history, ensuring the best match for the buyer.

The new process recommender will analyze customer CAD files, and suggest the best process for the part, from processes including CNC machining, Injection Molding, Sheet Cutting, Die-Casting, Extrusion (plastic and metal), Stamping, 3D Printing and more. Xometry's two-sided digital marketplace is transforming manufacturing with innovative AI and machine-learning technologies that are rapidly digitizing processes that once took weeks to get from design to production. The deployment of new instant-quoting and fulfillment capabilities enables Xometry to offer an ever-expanding menu of manufacturing technologies.

The new process recommender was developed in-house by Xometry and reflects the company's ongoing commitment to the development and deployment of new auto-quote methods and models. Last month, in a separate move, Xometry announced a partnership with Google Cloud to leverage Google's Vertex AI to help accelerate the deployment of new methods and models. Xometry's two-side marketplace plays a vital role in the rapid digital transformation of the manufacturing industry.

Xometry's proprietary technology shortens development cycles, drives efficiencies within corporate environments and helps companies create resilient supply chains. Xometry's product portfolio includes: its industry leading digital marketplace; popular Thomasnet.com®? industrial sourcing platform, and cloud-based tools, including Xometry Teamspace, centralized project management software for large, mission-critical projects.