Xometry announced the launch of its Enterprise Machining Lead‑Time Prediction Model, an AI tool that applies deep learning to real‑world production data to forecast lead times for enterprise customers with higher accuracy than the existing instant quoting engine. The new model is trained on a dataset four times larger than previous versions and incorporates specialized certifications such as AS9100D and ISO 9001, new materials, and advanced finishing options, resulting in improved accuracy measured by Root Mean Squared Logarithmic Error (RMSLE).
The company also introduced an enhanced dynamic pricing logic that replaces static price tables with a conversion‑rate model. This model analyzes geometric features, quote configurations, and customer history to generate a price‑response function for each individual quote, enabling Xometry to offer personalized pricing at scale. The dynamic pricing engine was rolled out to U.S. customers in Q1 2026 after user testing in Q4 2025, aligning with the company’s broader AI‑native marketplace strategy.
Chief Product & Technology Officer Vaidy Raghavan said, "This release represents more than just an incremental update; it is a foundation for future innovations and a fundamental shift in how we approach manufacturing speed and reliability at scale." The new tools are designed to accelerate time‑to‑market for enterprise buyers, improve delivery reliability, and reinforce Xometry’s leadership in AI‑powered industrial sourcing. By embedding design‑to‑fulfillment intelligence directly into the quoting workflow, the company aims to reduce information asymmetry and deepen its competitive moat in the custom manufacturing marketplace.
Xometry has been steadily expanding its AI capabilities, launching features such as the Workcenter Mobile App, AI‑powered design for manufacturing, and auto‑quotes for injection molding. The Enterprise Machining Lead‑Time Prediction Model and dynamic pricing enhancements build on these efforts, positioning Xometry to capture higher‑margin enterprise contracts and strengthen its marketplace gross margin profile.
The launch reflects Xometry’s commitment to leveraging data and machine learning to deliver faster, more reliable service to its customers while maintaining pricing flexibility. The new AI tools are expected to drive further adoption of the company’s marketplace platform and support continued revenue growth in the coming quarters.
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