Xometry appoints Weights & Biases co-founder Lukas Biewald to board of directors

Xometry, Inc. has appointed Lukas Biewald, co-founder and former CEO of Weights & Biases and current Senior Vice President of AI Initiatives at CoreWeave, to its board of directors as a Class I director through the 2028 annual meeting. Biewald, who also founded the machine learning data platform Figure Eight and held senior roles at Powerset and Yahoo! Japan, brings deep AI production experience to the custom manufacturing marketplace. CEO Randy Altschuler stated that Biewald's background building platforms for AI training and deployment maps directly to Xometry's AI-powered quoting engine and its expansion into agentic procurement workflows.

This appointment signals that Xometry is moving beyond its marketplace roots to embed AI as a core operational layer, not just a feature. The company recently added personalized pricing and design-for-manufacturability intelligence to its platform, and its Q1 2026 revenue hit record levels. Biewald's expertise in scaling AI developer platforms - Weights & Biases grew to over one million engineers before its 2025 acquisition by CoreWeave - directly addresses the challenge of turning Xometry's vast manufacturing data into reliable, automated procurement decisions. This fits the pattern of AI talent being recruited to solve the data complexity and supplier-matching problems that have historically limited digital manufacturing platforms from scaling beyond simple quoting.

Practically, Biewald's role will likely focus on making Xometry's AI quoting engine more accurate and its supplier matching more autonomous, moving the platform from a RFQ aggregator toward an agentic procurement system. The company must now demonstrate that its AI investments translate into measurable improvements in quote accuracy, cycle time reduction, and supplier utilization - not just boardroom narrative. For buyers, this means Xometry is betting that AI-driven procurement can reduce the friction that still keeps many engineers from using digital manufacturing platforms for complex, multi-process orders.