Xometry’s upgraded context-aware AI process recommender now analyzes industry application and material choices alongside part geometry, solving the &#34;cold-start&#34; problem for new accounts and driving automated

XMTR

Xometry Releases Comprehensive Upgrades to Its AI Model Architecture

Xometry launches upgraded AI platform with 85% first-upload acceptance and 15% CNC cost accuracy gains

<section class="insight" data-version="1">
 <section data-block="information">
 <h3>Information</h3>
 Xometry’s upgraded context-aware AI process recommender now analyzes industry application and material choices alongside part geometry, solving the &amp;#34;cold-start&amp;#34; problem for new accounts and driving automated
 </section>

 <section data-block="ai-summary-paragraph">
 <h3>AI Summary</h3>
 Xometry announced upgrades to its AI model architecture, enhancing process recommendations, CNC cost predictions, and supplier matching. The five-dimension data approach aims to reduce cold-start friction for new customers and speed automated quotes. Early feedback shows AI-recommended processes accepted over 85% of the time, with CNC cost-prediction accuracy improving about 15% in live tests.
 </section>

 <section data-block="ai-summary-bullets">
 <h3>Key Points</h3>
 <ul><li>Xometry upgrades AI architecture across five dimensions. Faster manufacturing decisions.</li><li>Context-aware recommender analyzes industry and material choices. Improves first-time customer conversion.</li><li>CNC cost-prediction accuracy up ~15%. Live testing validates.</li><li>Adaptive sourcing improves partner-matching and sourcing speed.</li></ul>
 </section>

 <section data-block="companies-mentioned">
 <h3>Companies Mentioned</h3>
 <ul><li>Xometry, Inc. (XMTR): Announced upgrades to its AI architecture; potential to improve first-time customer conversions and pricing accuracy.</li><li>Xometry Instant Quoting Engine (IQE) (IQE): Pricing engine component; cited as improving CNC cost-prediction accuracy as part of the upgrade.</li></ul>
 </section>

 <section data-block="category">
 <h3>Corporate Developments</h3>
 Category: Corporate Developments. The release outlines a strategic AI upgrade across core platform dimensions, potentially enhancing XMTR&#039;s competitive position, pricing accuracy, and onboarding efficiency.
 </section>

 <section data-block="market-moving">
 <h3>Market-Moving</h3>
 <ul><li>85% first-upload AI recommendation acceptance signals stronger onboarding potential.</li><li>15% CNC cost-prediction accuracy improvement could lift pricing discipline.</li><li>20 manufacturing techniques supported; broader process coverage.</li><li>Adaptive sourcing speeds supplier matching, potentially expanding GMV.</li></ul>
 </section>

 <section data-block="key-facts">
 <h3>Key Facts</h3>
 <ul><li>Date announced: July 20, 2026.</li><li>AI upgrades span five dimensions: geometry, manufacturability, pricing, supplier capability, production outcomes.</li><li>First-upload recommendations accepted &gt;85%.</li><li>CNC cost-prediction accuracy improved ~15% (live testing).</li><li>20 techniques supported initially.</li></ul>
 </section>

 <section data-block="trading-thesis">
 <h3>Trading Thesis</h3>
 Bullish: expect improved quoting efficiency and revenue growth within 3–6 months.
 </section>
</section>


<link type="text/css" rel="stylesheet" href="https://www.globenewswire.com/styles/gnw_nitf.css"></link><ul type="disc"><li style="text-align:left;">Xometry’s upgraded context-aware AI process recommender now analyzes industry application and material choices alongside part geometry, solving the &#34;cold-start&#34; problem for new accounts and driving automated recommendation acceptance to more than 85%.</li><li style="text-align:left;">A new generation of high-capacity cost models, trained on Xometry’s proprietary data insights, delivers approximately 15% improvement in CNC cost-prediction accuracy.</li><li style="margin-bottom:6pt; text-align:left;">The new adaptive sourcing models leverage Xometry’s proprietary data to create a more efficient experience for supplier partners, delivering significant improvements in partner-matching and sourcing speed. </li></ul> NORTH BETHESDA, Md., July 20, 2026 (GLOBE NEWSWIRE) -- <a href="https://www.globenewswire.com/Tracker?data=O25nykt1tkrRx7murqklIpBC2e_5L8oQHaJRoMM2AUXU-6dkQ43qqIV5rkdff6vkIarHSe_rBFxPNoRS_eorKA==" rel="nofollow" target="_blank">Xometry</a>, Inc. (NASDAQ:<a class="ticker" href="https://www.benzinga.com/quote/XMTR">XMTR</a>), the global, AI-native marketplace connecting buyers and suppliers of custom manufacturing, today announced comprehensive upgrades to its AI model architecture, deploying a new generation of high-capacity, interconnected models that span the entire manufacturing journey. The upgrades leverage Xometry’s proprietary data insights across five critical dimensions: geometry, manufacturability, pricing, supplier capability, and production outcomes. The smarter the platform gets, the faster Xometry can turn complex engineering inputs into manufacturing decisions. Smarter Process Recommendations From the First Upload Xometry&#39;s upgraded context-aware AI process recommender understands a part&#39;s industry application – recognizing, for example, that an aerospace component likely calls for tighter tolerances and flight-grade alloys – along with its probable material and geometry, closing the gap for first-time customers who have no order history for the model to draw on. Buyers get a manufacturing recommendation when they upload a part, providing them with the optimal process from among <a href="https://www.globenewswire.com/Tracker?data=YCftGR7X1suLLZ2h9t3wRYfjfo-D-gvXiQQftP8MKFPYUjIcN_z-vivZJvzGe3GQU6czrgaMwZyzzqSRJPgIDaWeVyspd5ppQX2flBPgj_MJvjru16csgIjPpoi4WhG9lT5t_kbcMEDFs1KGZvr5bw==" rel="nofollow" target="_blank">20 supported manufacturing techniques</a>. Early feedback has been positive, with the AI recommendation being accepted by buyers more than 85% of the time – a marked improvement over the prior model, with the biggest gains among first-time customers. A New Generation of Cost Models The way Xometry prices custom jobs is evolving. Xometry&#39;s new generation of cost-prediction models prices each part based on the specific parameters required to manufacture it. The models consider a greater breadth and depth of inputs, including geometry, material, finish, and whether the part is a standalone part or one of several in a job. This granular input leads to more accurate pricing. Starting with <a href="https://www.globenewswire.com/Tracker?data=ZWVsiT5wJxal8t1qJjVaQjVbMnkSh0Se0ayPcSOVleRArMsJEQaQW_emd07H6w1jXypnGN3CcNPnI7D-YpCHQ_CzWn7SpZKIqsyCKvJ-2y9tZqW53Za0ObcjhgaMfkY-X8cnnVipNs77k4oKoSFb9Q==" rel="nofollow" target="_blank">CNC machining</a>, the new cost-prediction models are trained on Xometry’s proprietary data insights and understand the specific parameters each part requires, delivering an approximately 15% improvement in CNC cost-prediction accuracy, validated through live testing. The models predict a calibrated cost distribution for every CNC job, so Xometry can gauge and signal its confidence level before a quote is returned. The company plans to extend the upgraded models to additional processes within <a href="https://www.globenewswire.com/Tracker?data=O25nykt1tkrRx7murqklIqel54yZevTeAItBkpvNy5qeRU95mNgWVaxqrIhgWR-loCgtFqlDiA382l5GSGr4T7C5LojLhR7LUf5XUTd_Shv63RHPcMrd9f_uZgJm-ipNh3DFLPzZDJ0k1yS9UnHXzw==" rel="nofollow" target="_blank">Xometry’s Instant Quoting Engine</a><a href="https://www.globenewswire.com/Tracker?data=YlddUvIkVDGvtuGRPw8aKtwf958dg52uuwRX4LCWR5iXd3sCdX-SugtQMHSwc0PkczPSraZOuPTw0H30qYP89sT68TcOoGoFpuESKZNOlk8=" rel="nofollow" target="_blank">&#xAE;</a><a href="https://www.globenewswire.com/Tracker?data=_B2QbruazUejVSAIFYLVsqkH5CHVDqk2VHzCffAlLI-91g8_HK8lQF0aoZh9WyVhj-c12metJk4wX7gi_DidG0V5uEIBZTQWn_DxBH5U19c=" rel="nofollow" target="_blank"> (IQE)</a>, and to incorporate additional CNC materials directly into IQE. As new materials are added, the models will continue to improve, built on a broader set of historical custom material requests. Faster Sourcing, Better-Fitting Jobs for Supplier Partners The new adaptive sourcing models leverage Xometry’s proprietary supplier data layer to price each job dynamically, moving quickly on well-understood jobs. The new models also incorporate an upgraded job-partner suitability that scores every job against a supplier partner&#39;s machine characteristics – including dimensions of the machine and sub-process capabilities – in addition to quality history and on-time shipping record. This has significantly improved partner-matching. Rather than navigating a noisy board of broad job notifications, partners are presented with a curated flow of better-fitting opportunities. This combination of deep capability matching and responsive pricing leads to a stronger network overall. "Across the millions of parts quoted through Xometry, our AI is constantly learning. 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. That’s what makes Xometry the digital infrastructure for custom manufacturing," said <a href="https://www.globenewswire.com/Tracker?data=P_t_fEFGVlKgJoTWzhxB9w5gUy8DhgXRZVh9oE2jtOoBONKYxgJnbKTU3YJ3QVCDRb4VujUbbcsHGMOcq97bb3P_T7dYtLpwss2c6ikVxR9A7GoZrG6qiD38iEhAOJAifbC0OGMKuG67u1CVWz7AJsFXOn_pSA_2ZT7fAJ9hn8Q=" rel="nofollow" target="_blank">Vaidy Raghavan, Chief Technology Officer at Xometry</a>. "The data layers are what&#39;s actually deciding how a part gets made, what it costs, and who builds it. And the smarter that data gets, the more directly our customers feel it – more optimal recommendations, accurate pricing, better-fit suppliers – every time they upload a part." Learn more about <a href="https://www.globenewswire.com/Tracker?data=O25nykt1tkrRx7murqklIvs0t1mjVrC5-RqyhZgC2NLPTKzKabar0RBqk2_e0vxN0hy-RXltW8-G5c5BulVwNw==" rel="nofollow" target="_blank">Xometry</a>. About Xometry <a href="https://www.globenewswire.com/Tracker?data=O25nykt1tkrRx7murqklItyqcC1bt65_77kvSE6_k15NYwGh1wrGJAjoa2ryW3Nj1kqHMDnxCoY59WupSdTzZavwuEDJGbgZDRM2vhZKg2gqra9ySX5xUGMw3y86SlkRv_Hx5yS-HMR2Mr-z3_V9Z-E5KMje7SgDejbvFntseiBpr7NEtXyhy8etQj-vzS-EQpqsag5ZPtn3jGw5X1TnogJ_d6FnAeGrEoeu4MsWMUuM6g4UqCFsHRkHlFW0dFUL7GxmN4oUkXdbBVjCYIbqkmzQNTa9sSasyuDYDksBotgjp94ZuBZiY4G3c-qweN6rKzkatUgM_unEoBlbe_OMGd6nojsNCQxBoFbNMDQLgC9A0bPbD8cjToszVtqNZFPrLsf-GSiWcHYo0kN6ZmRfUayRIUA2pVs7Mu5KwLk1xtQvvchu8AYLCork5Oy1I-Fkvt2BeNdsUPf_JqvFn2f2lEC_vCfsR2wyLJ8IvtHtVgo3akN3eZE0tX_LEhbP_6ifek3oN59PFGdkSajVh-SGuMnT1L4e91ieY1UhU1Qk0k7rG76SMHWCMsCrDuR9F5f4_GPCB-Fuomm8dPe1uLgy33lj-w0N8832JFL-J1z0bKOmL0ik43mzmMXm_nfUBPuW1Vs2hkEzkzhJ8Pe7WjKgZA2rUttaBcoEAIhTmmmWNNvOqaN2MRVsUQQOt6SyeQLqY_PlnGFpJA75QUw6AsR91YktEa2SsSCLDr9Yy5Z-PCn3xOA7LXoH1a9YgYcdugl6QgXv173UrXG0ih-NVtMdkY4BKISvKjPhkedCXlqGc3ebuevEIkoRCX3uBc1ZjYFtAdE68QR5S-_ZIxrEi-Ni-tkDR6YUskFOzBwNvA2Ad2gXyPaAxmEkAUcsJcOZwo2SW86xLyTTU9k2FGVhF1gwHsdiJefmvbTlepmXjdNHT9bdg637SU8E1UjPDf5bGnkEI4MCydtMYLVuAwzaxoogrna66D2DzSzWkyzn1Aux5J_AAsrkXJA0qRzQudHanTNbVJ5BLMhfap3eQsRocESjHAetHecPpjzPHzyUZJHofdbKIIvjcvw2rrnnBVN_Ke3YGIkH5u0w2SHJ7QziN1oQtQ==" rel="nofollow" target="_blank">Xometry’s</a> (NASDAQ:<a class="ticker" href="https://www.benzinga.com/quote/XMTR">XMTR</a>) AI-native marketplace, popular <a href="https://www.globenewswire.com/Tracker?data=ZZitVWBKRCii0qj7SgcDUuWhajvlyoCfdqcJyFcUrHJo33JODatTtEDyqsSKjtIsUACnEITeF3UDFnkF5YoHi8gcZZLuSq7IyR5QIvQTnPFuFz3q1MiJRopgAAyvFdV6RLV9wVXZXV3ObJci9SZR14rMlTRjlYAHyYslrgne73S0LZcpRabkhy2FAbQbyxfd_pO6U1yoLLJYcXftjFhwNfM_uUe8vJLMWWKJVPtWZUQuv-XKbizMs_teASf6Y4VdQFBNHRswPxj5EQl4ejeVHiUV4Mmd_wH7o0ARKsOBN5tkbDpjAaGwXNAuUljFeWWNvwjum6WrHqqMzvCuD5zW5uMlJe2puIcVuSCm1nnkB6pCSLOGOk7FySQPaE_HWDiwRCBw4_WeBacUJ-uBSc1Droj0f6hQ5qnU4VrhsmYt9xuWV7aTLbEVQ8h7iHEQPkEK9PzxvP9a8bvDiF8-HrehV29UbW2f2qjzjqrKhedgdWVZjriy1BvIhet4X8DrjRBbV2AyGd1_f_cg96VKHAMd3TIo7rBxFQUqIY6YBZPQ2gkhVQG7PP9nEFCAITiJOUPQfTpcOvY6JMjOPUU4ac9iuFlhCq3r_phul7J5PAj5YTmXfiMDyjxirCcKvWQXmjLbgT0AVoPbolR1sJEv2GxtpqChDymK0wKzVrgy58veTrYFY7zOBBaOHBQNruzwjMkblMIYBI6uKlKX0hMB9loVLf1VxbVZEEvMuBjhWFe9dl_m_ScNGkopQFQ98YSubg0Q9q7fCGLtS4ZC4ifJ9VdEaCQ4pM_MPNWKQieAzvwrbRNwfbDBx3uGbTvEF789pazbsc5oyObSAB78l3AUzNuYRPKhHcSCWBBCD3Gk8vC-35GGrnNQJ6ZLXgCWJIjEDNXl-IaiOgZh1pI-1eG42-hiQkLh2ASC4es0XnEv8Bjk3-kld-zj87LkOxGjNyvNzB44k4-_Sfb8yLK51qo1_MVA2Lj7TDndsJwGF2GBszVz8w2ARtOVTovGCRgCcI5RjFdf" rel="nofollow" target="_blank">Thomasnet</a>&#xAE; industrial sourcing platform and suite of cloud-based services are rapidly digitizing the manufacturing industry. Xometry provides manufacturers the critical resources they need to grow their businesses and streamlines the procurement process for buyers through real-time pricing and lead-time data. Learn more at <a href="https://www.globenewswire.com/Tracker?data=s_8loZMmgAqejHhXVAeG0dZpmV3sOyHRSKUUAN0o3iMwOxb9PL5SBQnUbpPT2StQKHRxmDdDXi_PVpsYofbenOk74CsNH7zBc55_BRWlv3vcqIdUo9BNK660V6IoHD9bKT6YZErJhXcFOnmMlV_0AspJ0lqQJreuRixVF6w4i7wvoF1vGPuWFK8hOEY1AB9Xbn6vsBsfxDcf1GiXaV1a-TjmVenV8UUswgj6Z9JsPN1-6wE4lNtJ1hrYBy_Ls1e0BsjP0vBoMQMbiduwPNjiJueTsZd1eBfUeq6HeYxTYb0R-lvTGTVwZkBYa9jo71yxRzkW-SqHtMvtZ-O5sutKHO0NB6Ndqc_05eNQWCZVyAW-F8BqOxyuWt7itsle6OjWDYnBGMVhXEJgTsslwSxcJR9Cs0TDtf1_-Aa9oa5ot8_iVKOmvtBiFqC67M3AZmxXAdW7Elhcxf8fHaIBCTJMeqk9GJ7pW3Co2fD0qo4Tsv2PTckozdfDp-ct9jUYdwkUBmj1Kof9yTORSsKlUXNw6BY17ftWikDd3fhdCrQAdaLMvUinX_7y2AvaqC8pJRMhZlmI7stHJ0vXJMRg1EC-w1MczVvMsOMe-tmnTVpBivDh1rkGFutWf7nx0TKD3YAsOZdH4O1bTNNrkUDCMt-BbkP64Di6ArDzB6f1AMmY25H-tuRiDtIZU7XC6a5tHbJEREH_1vwGK1wWDa5N8TR_0mKZTvTvaK_7dnRSj0sqJtBeQcA0DptGfcZpCHYtoOh7Du00lIXmUyTCgjOTmJ4Y--RznwQmdlq03brG_bq4fRW4H4t38KN4xL9gMCiGP76wvAR9iIqEtV-J0hLtUJTQCW40T5wnzUaKs4rHMSppJG--PKerl4zJv1ng_aInnTLZByxy3LCpyHFPT1tj9iPj8nH633NST4oC8M2nPq2NEHDmwIQHacBmirBPKGleuE_oI4p2u9yojm-GRLzaTeOpnc-HejgS61nPYoTjXnf_LMxqRkTSDSuFhR2dAGoqMNeQ" rel="nofollow" target="_blank">xometry.com</a> or follow <a href="https://www.globenewswire.com/Tracker?data=O25nykt1tkrRx7murqklIuz5YwDOK5sfxQiHxteFcA4gX2Odss2O84dg0jSBvBCzN9DHurUyOoDh1Ra6sgYII6B5gXI9sOe9QaXG9H4NEUsj_mPvEed_4qvOV7bD2yvz-tT-crczZ8e2LaDmLvXVEi2yqETjx3I0plkV32U13dx59tGFfq07k6hNXOQIFlwLlSFnnLwleu0xhRPH3gUMAqR7vc9JNpurSRYyNoc_AFVpWH3R0PJa3aKSkCfMS5MFiFbtJACw63__no27dRML2lboKGOOHaEEkbEdCjMmPCPHiv-z5PFloL9300xmbdQwO3EDbengzYtnhtfvQ30WNEFw9HTH0RUL8xvEMZBu9XP7pofTZvj3icr7HtlDQBRA_TUEo1F0bCJvnsUtmNahFctorzN-jZ-9cTaRrcISp-mGjDzdsZygWJRM5E0UslU1U6qUiDkmij4_ixH5IG0IyTyIo5z3PDrSwf5aFu0rDUmj5jJH4BqRgsIaoPpg4vD1_1VyZL89RThyONAOSpZvmuf80nvRGOO03tgwGoz2t0__gPGeKkWb4V3h9tldwaGzQ-uZsx_my42_v8_P0--dJZBx_NayzAQUgawRsj4B3hmODkaP5EPr_z-ed3qu0DqCfysdIYMB7O4qqXWIApBb79U2FhRez-tDbKWyLcVTAToMEgRftNr1QNFxF5RcuvObKQyMzWpHn-u1m1mZwqzuSmy-gvqsol0fmXs0e2-D6bDhae50fgTerdpwualiriUDItG-D-oKnhRQrQ_pXXb8do-hbB3sPfIFGPESXYJw_Qvo1kBO0tl1L0mRSoJnQfgTFW9KKWfuBTeD8oiCy-mevFL5MJv2huj6H1rVDG72rZvdYFWXLbvIWZOJ3f0HZ20u8VFZ4p75W-jmdyfbmL4A19VOO1unRJIUNPPrBXwskhrC3Z0djQs-ipQk-P8rYmpnMyO_ZvxN8zlbpwMT0Il1Sr23INBJKuf7Gn_yeqPsHIMjWpE7B9V4ao3wgPVHbF6b7lmBvtp31WdPIrviILqYyrChpJzTVnovoDfmNg2slmVLmbbH9472-4JcHR1FxC6E-Mk-ixIRjk0e4IwfR7HtiCP8-F6sqnYTKFDXpKbVrAPGiqj8o3zmBo-ytX_4m-k-ApkWfnWhHfEy3BYJuEQd0vw2a0tuQDlqw6VVw1uuHcmCyC9v5bSiQkspbQpbBuP728A7iIbY9PA9fi91i9h--ISzAeATeY6EHlAz6wz7OHOg17g9L3fxOZAZChe1ZvUm" rel="nofollow" target="_blank">Xometry on LinkedIn</a>. Media Contact Lauran Cacciatori VP Communications 773-610-0806 <a href="https://www.globenewswire.com/Tracker?data=jhfcrop1tgdY5uXlG4NimzZT6saaiHTYeE3NkjacpCZnVpqJTYkeb8CsFBz8LZa9DsW9NEaE3a6xbOwiYqJ6_O16l-4j8kiYHE73Sj9Lrzdu1p5hBgHgYiUT7gKbZubE" rel="nofollow" target="_blank">lauran.cacciatori@xometry.com</a> Investor Contact Shawn Milne VP Investor Relations 240-335-8132 <a href="https://www.globenewswire.com/Tracker?data=pfxJUPck6aX4pxemORTd1mngNlGslLKuMVILx4Go2qPG4tp7Wdfv3gMPIgmFvf_y1A0FrTpiEJ5m-vTlExueAb3Qb1fzvQG_P7BkMtnEVgbXEqpIQQofuSMOrVy4JV1a" rel="nofollow" target="_blank">shawn.milne@xometry.com</a> <img alt="" class="__GNW8366DE3E__IMG" src="https://www.globenewswire.com/newsroom/ti?nf=OTc2NDY5NyM3NzEzMjMxIzIyMDQyMTg="></img> <img alt="" src="https://ml.globenewswire.com/media/Mzk4YmViMjgtY2FhYS00MGIyLWJiZjAtNGMzY2Y2MWE3MmM1LTEyMTU3NzEtMjAyNi0wNy0yMC1lbg==/tiny/Xometry-Inc-.png" referrerpolicy="no-referrer-when-downgrade"></img><a href="https://www.globenewswire.com/NewsRoom/AttachmentNg/bfe5ae59-0761-40a3-b611-803d6eace2af"><img src="https://ml.globenewswire.com/media/bfe5ae59-0761-40a3-b611-803d6eace2af/small/xometry-blue-registered-2x1-1-png.png" border="0" width="150" height="33" alt="Primary Logo"></img></a>

Xometry announced upgrades to its AI model architecture, enhancing process recommendations, CNC cost predictions, and supplier matching. The five-dimension data approach aims to reduce cold-start friction for new customers and speed automated quotes. Early feedback shows AI-recommended processes accepted over 85% of the time, with CNC cost-prediction accuracy improving about 15% in live tests.

Xometry Releases Comprehensive Upgrades to Its AI Model Architecture

AI Summary

Sentiment Rationale

Trading Thesis

Market-Moving

Key Facts

Companies Mentioned

Corporate Developments

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