{"id":56590,"date":"2026-02-25T22:02:04","date_gmt":"2026-02-25T22:02:04","guid":{"rendered":"https:\/\/ciaoup.it\/?p=56590"},"modified":"2026-02-25T22:02:04","modified_gmt":"2026-02-25T22:02:04","slug":"datajoint-launches-agentic-ai-control-layer-for-scientific-workflows-enabling-defensible-and-reproducible-ai-in-regulated-rd","status":"publish","type":"post","link":"https:\/\/ciaoup.it\/?p=56590","title":{"rendered":"DataJoint Launches Agentic AI Control Layer for Scientific Workflows, Enabling Defensible and Reproducible AI in Regulated R&amp;D"},"content":{"rendered":"<p>COMUNICATO STAMPA &#8211; CONTENUTO PROMOZIONALE<\/p>\n<p> Company to Showcase at PMWC 2026 and Lab of the Future USA Congress\u00a0<\/p>\n<p>HOUSTON, Feb. 25, 2026 \/PRNewswire\/ &#8212; DataJoint today announced the launch of DataJoint Agentic AI, a governed execution layer for scientific workflows that enables semi-autonomous AI operation on rigorously structured, provenance-rich data.\u00a0<\/p>\n<p>As pharmaceutical and academic institutions accelerate investment in generative and agentic AI to further innovation, many are confronting a critical constraint: AI systems trained on fragmented, under-described scientific data cannot reliably reproduce, audit, or defend their outputs. In regulated research environments, this lack of context creates material scientific and operational risk.\u00a0<\/p>\n<p>DataJoint addresses this challenge at its source.\u00a0<\/p>\n<p>The platform captures multi-modal scientific data in precisely defined, interconnected frameworks \u2014 embedding rich metadata and full computational provenance at the point of every experimental result. By grounding AI agents in this context-rich foundation, DataJoint enables automated workflow execution while preserving reproducibility, traceability, and decision accountability.\u00a0<\/p>\n<p>&#8220;Scientific AI will only be as trustworthy as the data foundation beneath it,&#8221; said Jim Olson, CEO of DataJoint. &#8220;We built DataJoint to ensure that every AI-driven insight is grounded in structured provenance and computational context \u2014 so that scientific decisions are not just faster, but defensible and reliable.&#8221;\u00a0<\/p>\n<p>DataJoint&#8217;s agentic AI enables semi-autonomous execution of complex, multi-step scientific pipelines across imaging, electrophysiology, genomics, behavioral data, and more \u2014 within a governed, reproducible framework built for regulated and research environments. For pharma and biotech, this means faster hypothesis validation and AI-ready datasets that support regulatory confidence. For academic and medical centers, it means scaling sophisticated research without sacrificing rigor. And all for the purpose of accelerating discoveries and speeding innovation.\u00a0<\/p>\n<p>For example, an AI agent operating within DataJoint can validate experimental inputs, trigger downstream processing, detect data and structure inconsistencies, and ensure computational reproducibility \u2014 all while maintaining a complete, queryable record of decisions and transformations.\u00a0<\/p>\n<p>DataJoint&#8217;s structured scientific data infrastructure is already deployed in leading academic medical centers and industry research environments, supporting reproducible multi-modal pipelines at scale.\u00a0<\/p>\n<p>Industry Showcases\u00a0<\/p>\n<p>DataJoint will demonstrate its Agentic AI capabilities at:\u00a0<\/p>\n<p>PMWC 2026 (Precision Medicine World Conference)March 4\u20136, 2026 | San Jose, CA\u00a0<\/p>\n<p>Lab of the Future USA CongressMarch 2\u20133, 2026 | Boston, MA\u00a0<\/p>\n<p>These events convene leaders in precision medicine, biopharma R&amp;D, and digital laboratory transformation.\u00a0<\/p>\n<p>About DataJoint\u00a0<\/p>\n<p>DataJoint Inc. is a scientific data infrastructure company that provides the structured foundation required for reproducible, AI-ready research. By enforcing explicit data structures, embedding computational provenance, and orchestrating multi-modal pipelines, DataJoint enables research organizations to reduce scientific risk while accelerating trusted AI adoption.\u00a0<\/p>\n<p>Headquartered in Houston, Texas, DataJoint supports academic medical centers and industry R&amp;D organizations seeking durable, defensible scientific AI.\u00a0<\/p>\n<p>For more information, visit www.datajoint.com.\u00a0<\/p>\n<p>Media Contact:Doug Welsh, CRODataJointinfo@datajoint.com<br \/>\n\u00a0<\/p>\n<p>Logo &#8211;\u00a0https:\/\/mma.prnewswire.com\/media\/2783095\/DataJoint_Logo_Logov1.jpg<br \/>\n\u00a0<\/p>\n<p> View original content:https:\/\/www.prnewswire.co.uk\/news-releases\/datajoint-launches-agentic-ai-control-layer-for-scientific-workflows-enabling-defensible-and-reproducible-ai-in-regulated-rd-302697558.html<br \/>\n\u00a0<\/p>\n<p>Copyright 2026 PR Newswire. 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L&#8217;Adnkronos e Immediapress non sono responsabili per i contenuti dei comunicati trasmessi<\/p>\n<p>&#8212;<\/p>\n<p>immediapress\/pr-newswire<\/p><\/p>\n<div style=\"display:flex; gap:10px;justify-content:center\" class=\"wps-pgfw-pdf-generate-icon__wrapper-frontend\">\n\t\t<a  href=\"https:\/\/ciaoup.it?action=genpdf&amp;id=56590\" class=\"pgfw-single-pdf-download-button\" ><img src=\"https:\/\/ciaoup.it\/wp-content\/plugins\/pdf-generator-for-wp\/admin\/src\/images\/PDF_Tray.svg\" title=\"Generate PDF\" style=\"width:auto; height:45px;\"><\/a>\n\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>COMUNICATO STAMPA &#8211; CONTENUTO PROMOZIONALE Company to Showcase at PMWC 2026 and Lab of the&hellip;<\/p>\n","protected":false},"author":3,"featured_media":56591,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[23],"class_list":["post-56590","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comunicati","tag-immediapress"],"_links":{"self":[{"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/posts\/56590","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/ciaoup.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=56590"}],"version-history":[{"count":1,"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/posts\/56590\/revisions"}],"predecessor-version":[{"id":56608,"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/posts\/56590\/revisions\/56608"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ciaoup.it\/index.php?rest_route=\/wp\/v2\/media\/56591"}],"wp:attachment":[{"href":"https:\/\/ciaoup.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=56590"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ciaoup.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=56590"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ciaoup.it\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=56590"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}