Software Engineer – Intern

Xometry launches the ultimate ai-native platform for manufacturers. Published: 24 Jul 2026 In July 2026, Xometry launched an AI-powered platform to streamline the entire injection molding lifecycle, offering an expanded materials catalog, instant on-demand DFM feedback, and one-click reordering. These upgrades include real-time pricing and context-aware AI to accelerate procurement and mitigate production errors for manufacturers. How Xometry accelerates procurement and enhances design accuracy. Xometry's injection molding capabilities accelerate procurement workflows and enhance design accuracy for manufacturers across automotive, medical, pharmaceutical, aerospace, defense, and data center industries. The AI-driven marketplace also bridges the gap between traditional processes and modern procurement demands, offering digital tools for high-volume production. The expanded catalog now includes materials like glass-filled Nylon and PLA, and the platform intelligently routes mold-suited parts to injection molding, guiding customers from quote to production. Manufacturers can schedule free Design for Manufacturability (DFM) consultations for early feedback to avoid expensive revisions. Furthermore, a new self-serve reordering feature allows customers to generate quotes easily, preserving production consistency and contract pricing. Vaidy Raghavan, CTO at Xometry, emphasized the need to modernize the procurement experience in manufacturing, stating that their platform is designed to eliminate barriers between great ideas and finished parts. Significance and future perspective. Xometry's wide significance mainly lies in instantaneous procurement and quoting, in which AI significantly analyzes complex part geometries, lowering negotiation times. As the platform improves, it quickly shifts engineering inputs into manufacturing decisions. Meanwhile, end-to-end lifecycle management also integrates low-volume tooling, prototyping, and high-volume production, further allowing engineers to control or track projects. The optimized supplier routing algorithm also directs jobs to the best global partners based on machine capabilities and turnaround times. Looking ahead, the platform's closed-loop system enables predictive manufacturing, increasing cost and lead-time predictions with each order. The integration of AI into systems such as Siemens' Xcelerator facilitates engineers with valuable supply-chain data during the design phase. This not only democratizes complex production by streamlining processes for industries including automotive and aerospace but also allows companies of all sizes to scale without in-house tooling expertise. Impact on the ICT Industry. Xometry's AI-powered injection molding platform positively impacts the ICT industry by shrinking procurement and prototyping times from days to minutes and scaling hardware development from rapid prototyping to high-volume production with strong supply chain resilience. The platform transforms the ICT Industry by integrating instant quoting for speed, AI-driven process guidance for design optimization, and a vetted global manufacturing network for mitigating risks or related challenges. Together, these capabilities drastically accelerate product development cycles and ensure supply chain stability against market volatility, and overall these strategies help teams move faster and reduce bottlenecks. Xometry addresses manufacturing challenges by leveraging an AI-powered engine for instant, automated quoting of complex 3D geometries, mitigating lengthy sourcing delays. Thereby, the platform further reduces high rework costs through on-demand design manufacturability expertise, expanded material options, as well as streamlined and consistent one-click reordering. Impact of the injection molded plastics industry. The global injection molded plastics market size was calculated at USD 358.71 billion in 2025 and is predicted to increase from USD 371.70 billion in 2026 to approximately USD 511.9 billion by 2035, expanding at a CAGR of 3.62% from 2026 to 2035. According to Precedence Research, this transforms the injection molding industry by digitizing traditionally manual, time-consuming procurement and production pipelines by connecting customers directly with a vast and vetted global manufacturing network for everything from prototyping to high-volume scaling. Modern platforms are revolutionizing the injection moulding plastic industry by slashing quoting times to minutes and connecting early CAD designs directly to production through a unified digital thread. This also unlocks global manufacturing access for businesses of all sizes by reducing reliance on single local suppliers and accelerating overall time-to-market. Xometry modernizes injection molding by solving historical supply chain bottlenecks, reducing upfront tooling risks through free DFM consultations, and delivering design-stage feedback that helps customers catch issues early, reduce revision cycles, and avoid costly changes once tooling is in place. The platform streamlines material choices and procurement friction through an AI-driven process recommender and user-friendly one-click reordering, which routes repeat projects directly to the original tooling supplier. About Xometry. Xometry is an AI-powered digital marketplace that digitizes the custom manufacturing industry by bridging businesses with a global network of thousands of manufacturers. Its machine learning engine simplifies industrial sourcing by offering instant quotes, rapid supplier matching, and on-demand production, transforming sourcing into a fast, transparent process. The platform also covers a vast range of manufacturing processes, including CNC machining, sheet metal fabrication, 3D printing, and injection molding. Xometry empowers innovators and small suppliers through its AI-driven Instant Quoting Engine, seamless CAD software integration, and the Thomasnet industrial sourcing platform.

Xometry unveils AI model upgrades to improve manufacturing recommendations and pricing. July 20, 2026 Manufacturers increasingly rely on AI-powered software to accelerate quoting, identify the right production methods and connect with qualified suppliers. As custom manufacturing workflows become more complex, improving the accuracy of those decisions can reduce costs, shorten lead times and simplify procurement for both buyers and manufacturers. Xometry Inc. (NASDAQ: XMTR) has introduced a broad upgrade to the artificial intelligence models that power its digital manufacturing marketplace, rolling out a new architecture designed to improve process recommendations, pricing accuracy and supplier matching. The North Bethesda, Md.-based company said the enhancements are built on proprietary data spanning part geometry, manufacturability, pricing, supplier capabilities and production outcomes, creating a more connected intelligence layer across the manufacturing process. One of the most significant changes is an updated context-aware recommendation engine that helps customers determine the most appropriate manufacturing process as soon as a part is uploaded. Rather than relying primarily on a customer's order history, the model evaluates factors including a part's geometry, likely material selection and intended industry application. For example, the system can recognize when aerospace components may require tighter tolerances or specialized alloys before generating recommendations across Xometry's 20 supported manufacturing processes. The company said the approach addresses the "cold-start" challenge commonly encountered with first-time users and has resulted in buyers accepting the automated manufacturing recommendation more than 85% of the time during early deployment, with the strongest gains among new customers. Xometry has also introduced a new generation of cost-prediction models beginning with CNC machining. The upgraded models evaluate a broader range of manufacturing variables, including geometry, materials, surface finishes and whether a part is produced individually or as part of a larger manufacturing job. According to the company, live testing showed the models improved CNC cost-prediction accuracy by approximately 15%. The pricing models also generate calibrated confidence levels for each CNC quote, allowing the platform to assess pricing certainty before returning an estimate. Xometry plans to expand the upgraded models to additional manufacturing processes supported by its Instant Quoting Engine(R) while adding more CNC materials over time as additional historical production data becomes available. Supplier partners are also expected to benefit from new adaptive sourcing models that refine how manufacturing work is distributed across the marketplace. The updated system evaluates machine dimensions, specialized manufacturing capabilities, historical quality performance and on-time delivery records when matching jobs with suppliers. Instead of receiving broad notifications for available work, participating manufacturers are presented with a more targeted stream of opportunities aligned with their capabilities. Xometry said the improvements have significantly strengthened partner matching while accelerating sourcing decisions for buyers. "Across the millions of parts quoted through Xometry, our AI is constantly learning," said Vaidy Raghavan, the company's chief technology officer. "Our new models move beyond treating that knowledge as separate skills, where one model recommends how to build something, another prices it, another finds who should build it. Now, they are an intelligence layer that gets sharper every time a part moves through it." Raghavan added that the company's data models increasingly determine how parts are manufactured, what they cost and which suppliers are best suited to produce them, enabling customers to receive more accurate recommendations, pricing and supplier matches with each new project submitted through the platform. Xometry operates an AI-powered marketplace connecting buyers with manufacturing suppliers worldwide while also operating the Thomasnet(R) industrial sourcing platform and a suite of cloud-based manufacturing services. The company says its technology is designed to streamline procurement by providing real-time pricing and lead-time information while helping manufacturers secure production opportunities more efficiently.

Montgomery County companies attracted $368.3 million in investment in June. July 7, 2026 Montgomery County companies raised a combined $368.3 million across public offerings and private investment activity in June, more than triple the amount recorded that same month a year prior. This month, Forbright, a Chevy Chase-based bank holding company with 545 employees, successfully completed its initial public offering on the Nasdaq. The D.C. region's fastest-growing bank, Forbright raised $142.2 million, valuing the company at approximately $950 million, marking not only a major milestone for the company but also for Montgomery County's rapidly expanding financial services industry, which boasts companies spanning venture capital, private equity, financial technologies, and investment asset management. In other investment news, Bethesda-based Xometry announced a $225 million secondary public offering. The AI-powered manufacturing marketplace has become one of Montgomery County's homegrown innovation economy success stories, connecting businesses with manufacturing capacity around the world through its intelligent digital platform. The additional capital will allow the company to continue expanding and investing in advanced manufacturing innovation. Founded in Gaithersburg, Xometry has over 1,000 employees. From innovative financial institutions to AI leaders, Montgomery County continues to remain a place where companies can start and scale quickly.