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Siemens acquires Dotmatics to extend AI-powered software portfolio to Life Sciences

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Acquisition of Dotmatics, a leader in Life Sciences R&D software for $5.1 billionExpands Siemens’ market-leading position in industrial software by extending AI-powered Product Lifecycle Management (PLM) portfolio into Life Sciences to seamlessly connect R&D through manufacturingIncreases Siemens’ industrial software total addressable market by $11 billion; aligns with strategic goal to accelerate customer innovation across industriesAcquisition is another milestone of Siemens’ ONE Tech Company program expanding the Siemens Xcelerator platform into Life Sciences software with stronger customers focus, faster innovations and higher growth

MUNICH, April 2, 2025 /PRNewswire/ — Siemens AG announces that it has signed an agreement to acquire Dotmatics, a leading provider of Life Sciences R&D software based in Boston, for $5.1 billion from Insight Partners. This acquisition represents a strategic milestone for Siemens, expanding its comprehensive Digital Twin technology and AI-powered software into this rapidly growing complementary market. The US company offers a market leading platform with a highly profitable portfolio of scientific applications and multi-modal data management for Life Sciences R&D. The company’s offering accelerates customers’ innovation, delivering next generation collaboration and contextualized data to enable AI-powered multi-modal drug development.

“By acquiring Dotmatics, we’re strategically strengthening our position in Life Sciences and creating a world-leading AI-powered PLM software portfolio as part of Siemens Xcelerator. Artificial Intelligence has emerged as a transformative force across various industries, and its application in Life Sciences is becoming increasingly important,” said Roland Busch, President and CEO of Siemens AG. “The Dotmatics acquisition is part of our ONE Tech Company growth program, enhancing our leading position in industrial software and helping our customers to innovate even faster.”

“The acquisition of Dotmatics drives strong revenue synergies and is highly profitable and cash generative. Financing will be provided primarily through the sale of shares in listed companies, including Siemens Healthineers,” said Ralf P. Thomas, CFO of Siemens AG.  

“Following an exciting journey with Insight Partners, where Dotmatics achieved remarkable growth and portfolio expansion, we are thrilled to announce our new chapter with Siemens,” said Thomas Swalla, CEO of Dotmatics. “Combining our next-generation scientific intelligence platform and industry-leading scientific applications together with Siemens’ Digital Twin and AI capabilities, we’ll drive a new wave of innovation in life sciences R&D. Together, we’ll accelerate innovation cycles for our customers and help scientists make breakthrough discoveries faster than ever before shaping the future of scientific innovation.”

Life Sciences presents an attractive complementary software market opportunity and expands Siemens’ industrial software total addressable market by $11 billion. This market is driven by structural shifts, such as increased medication need driven by aging societies and improved access to medicine, new treatment options from advancing science and the necessity for increased collaboration and visibility across complex value chains. These trends underscore the need for digital transformation, with software spending expected to double over the next five years.  

Siemens’ expansion within Life Sciences aligns with its strategic goal to accelerate customer innovation across the top industries with the highest R&D spend. The acquisition is part of the investment track of Siemens’ ONE Tech Company program and following last week’s closing of Altair’s acquisition, yet another milestone. This growth program enables Siemens to further expand its market position and reach the next level of performance and value creation. Through acquisitions like this, as well as R&D investments into areas including software, AI-enabled products, connected hardware and sustainability, Siemens is clearly prioritizing capital allocation to strategic growth fields. The acquisition of Dotmatics enables Siemens to scale its technologies into Life Sciences and to fully address growth opportunities in this market. It will allow Siemens to combine its comprehensive manufacturing expertise, industrial simulation and AI capabilities with Dotmatics’ leading complementary applications, creating a first-of-its-kind end-to-end digital thread that connects data from research through to production in Life Sciences.

Significant synergies 
Dotmatics is expected to generate more than $300 million revenue in fiscal year 2025 and is highly profitable and cash generative with an adjusted EBITDA margin of above 40 percent. The company’s mid-teens revenue growth and high profitability will be immediately accretive to Siemens’ growth, EBITDA margins and free cash flow, prior to any synergies. Siemens expects substantial revenue synergies: Medium-term revenue synergies expected of around $100 million per year accelerating to over $500 million per year in the long-term.

Capital structure at closing is expected to be within Siemens’ target corridor. Closing of the transaction is anticipated for the first half of fiscal year 2026 subject to customary closing conditions and applicable regulatory approvals.

About Dotmatics 
Dotmatics is a leader in R&D scientific software connecting science, data, and decision-making. Its enterprise R&D platform and applications, including GraphPad Prism, SnapGene and Geneious, drive efficiency and accelerate innovation. More than 2 million scientists and over 14,000 customers trust Dotmatics to help them create a healthier, cleaner, safer world. Dotmatics is a global team of more than 800 people dedicated to supporting its customers in over 180 countries. The company is headquartered in Boston, with 14 offices and R&D teams located around the world.

This press release is available at: https://sie.ag/Cu3EN

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Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
In fiscal 2024, which ended on September 30, 2024, the Siemens Group generated revenue of €75.9 billion and net income of €9.0 billion. As of September 30, 2024, the company employed around 312,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com.

Notes and forward-looking statements
This document contains statements related to our future business and financial performance and future events or developments involving Siemens that may constitute forward-looking statements. These statements may be identified by words such as “expect,” “look forward to,” “anticipate,” “intend,” “plan,” “believe,” “seek,” “estimate,” “will,” “project” or words of similar meaning. We may also make forward-looking statements in other reports, in prospectuses, in presentations, in material delivered to shareholders and in press releases. In addition, our representatives may from time to time make oral forward-looking statements. Such statements are based on the current expectations and certain assumptions of Siemens’ management, of which many are beyond Siemens’ control. These are subject to a number of risks, uncertainties and factors, including, but not limited to those described in disclosures, in particular in the chapter Report on expected developments and associated material opportunities and risks in the Combined Management Report of the Siemens Report (siemens.com/siemensreport), and in the Interim Group Management Report of the Half-year Financial Report (provided that it is already available for the current reporting year), which should be read in conjunction with the Combined Management Report. Should one or more of these risks or uncertainties materialize, should decisions, assessments or requirements of regulatory authorities deviate from our expectations, should events of force majeure, such as pandemics, unrest or acts of war, occur or should underlying expectations including future events occur at a later date or not at all or assumptions prove incorrect, actual results, performance or achievements of Siemens may (negatively or positively) vary materially from those described explicitly or implicitly in the relevant forward-looking statement. Siemens neither intends, nor assumes any obligation, to update or revise these forward-looking statements in light of developments which differ from those anticipated. This document includes – in the applicable financial reporting framework not clearly defined – supplemental financial measures that are or may be alternative performance measures (non-GAAP-measures). These supplemental financial measures should not be viewed in isolation or as alternatives to measures of Siemens’ net assets and financial positions or results of operations as presented in accordance with the applicable financial reporting framework in its Consolidated Financial Statements. Other companies that report or describe similarly titled alternative performance measures may calculate them differently. Due to rounding, numbers presented throughout this and other documents may not add up precisely to the totals provided and percentages may not precisely reflect the absolute figures.

Reference number: HQCOPR202504027147EN

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Jtibot Showcases Autonomous Outdoor Sweeping Innovation at Interclean Amsterdam 2026, Accelerating European Market Expansion

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AMSTERDAM, April 24, 2026 /PRNewswire/ — Jtibot, a developer of autonomous outdoor cleaning solutions, concluded a successful showcase at Interclean Amsterdam 2026, highlighting its focus on large-scale, AI-driven sweeping for industrial, municipal, and campus environments.

At Hall 8, Booth 538, Jtibot presented its autonomous outdoor sweeper designed for environments exceeding 10,000 sqm. Positioned between traditional equipment and emerging robotics, the system addresses the growing demand for more efficient and less labor-dependent outdoor cleaning operations.

During the exhibition, Jtibot attracted strong interest from European distributors and facility management professionals seeking scalable solutions for large-area maintenance. The company was also featured in an official media interview at the event, reflecting increasing attention toward autonomous technologies in the cleaning industry.

Jtibot’s approach centers on human-machine collaboration. By reducing repetitive manual work while maintaining operational flexibility, its systems support more sustainable and efficient facility management practices. This aligns with broader ESG (Environmental, Social, and Governance) priorities, including improved resource efficiency and enhanced working conditions.

Building on its presence at Interclean, Jtibot is currently advancing discussions with multiple European partners for regional distribution and deployment. The company is also in the final stage of a fleet procurement agreement valued at approximately $1.4 million, signaling early commercial traction in large-scale applications scenarios.

“As outdoor environments continue to grow in scale and complexity, automation is becoming essential,” said Steven, VP at Jtibot. “Our goal is not to replace people, but to empower them—making operations more efficient and labor more sustainable.”

Following Interclean Amsterdam 2026, Jtibot is actively expanding its European partner network and preparing for broader market deployment across key regions, as it accelerates its global commercialization strategy.

About Jtibot
Jtibot specializes in autonomous outdoor sweepers designed for large-scale environments. By combining AI-driven navigation with industrial-grade hardware, the company enables efficient, scalable, and sustainable cleaning operations worldwide.

Photo – https://mma.prnewswire.com/media/2965027/PR_image.jpg

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2U Refinances and Raises Growth Capital

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ARLINGTON, Va., April 24, 2026 /PRNewswire/ — Many education technology companies spent 2024 and 2025 scaling back. New university partnerships slowed as institutions built internal capacity. Against that backdrop, 2U completed a growth recapitalization, with its existing owners putting growth capital into the business alongside a refinancing of its current credit facilities.

The question worth asking is: why now, and what did they see?

2U operates edX, a global online learning platform originally co-founded by Harvard and MIT that now reaches more than 100 million people through over 5,300 programs with 250-plus institutional and enterprise partners. Employees from more than 60% of Fortune 500 companies use edX for professional development. To date, over 76,000 people have graduated from 2U-powered degree programs from leading institutions, including UC Berkeley, Howard University, and Georgetown. The company has been privately held since completing a financial reorganization in 2024, and Kees Bol has served as CEO since January 2025.

Lincoln International, which advised 2U on the transaction exclusively, described the refinancing outcome: extended credit maturities, improved capital structure, and financial flexibility to continue executing on 2U’s long-range plan. Managing Director Alex Stevenson said the deal “reflects the confidence of 2U’s owners in the long-term value of the business.”

Confidence in what, exactly? The AI workforce training market. Skills in AI-affected roles are evolving 66% faster than average according to PwC research, and IDC has estimated that unfilled AI skills gaps could cost the global economy $5.5 trillion. Universities and enterprises are both trying to solve that problem, and both are looking for platforms with the breadth and accreditation backing to do it credibly.

2U’s partnerships are designed for exactly that. IBM’s six technical microcredentials on edX train the engineers and data scientists who build AI systems. Microsoft’s CxO Edge program, launched in late 2025, targets the C-suite executives who need to move from AI pilots to enterprise-wide adoption, part of a Microsoft presence on edX that has drawn over 40,000 learners in the past six months alone.. Oxford’s Faculty of Law program addresses governance: what board members and legal advisors need to understand about AI liability, compliance, and fiduciary responsibility. UC Berkeley’s Master of Information and Data Science (MIDS) online program prepares learners to shape the future of AI and data science with human-centered values and focuses on solving the world’s most pressing data challenges. Each program exists because a specific employer community identified a specific gap.

That’s the differentiation investors are backing. Generic online courses are abundant. Programs designed in partnership with IBM, Microsoft, UC Berkeley, and Oxford’s Faculty of Law and delivered on a platform with proven Fortune 500 adoption are not.

Credentials earned on 2U’s edX platform carry the academic standing of the issuing partner institutions. Its programs span executive education, professional certificates, microcredentials, and accredited online degree programs, all powered by 2U’s infrastructure but conferred by partner universities and institutions with their own accreditation.

HolonIQ data puts the broader trend in context: microcredentials grew from 7% of global online program offerings in 2022 to 19% by 2025. The shift toward stackable, job-aligned credentials, in addition to traditional degrees,  is real and accelerating. The global online education market is projected to exceed $200 billion as that trend matures. 2U’s decision to build depth in short-form, employer-designed AI training aligns directly with where learner demand is heading.

None of this is abstract for the organizations that use edX at scale. When a company needs to certify 500 engineers on AI development, or prepare its entire C-suite for a board presentation on AI governance, the platform’s reach and credential quality both matter. A certification backed by IBM and a degree from institutions such as Berkeley carries weight with hiring managers in a way a generic online course does not.

The refinancing extends 2U’s ability to keep building that catalog and the partnerships behind it. Stevenson framed it as giving the management team “the financial foundation to keep executing on its mission.” The mission, under Bol’s leadership, is straightforward: help universities and enterprises close the AI skills gap by meeting learners where they are, at the pace the market demands.

The investors who contributed growth capital made a bet that a platform that reaches 100 million people and has 250-plus partners, including IBM, Microsoft, UC Berkeley, and Oxford in its program portfolio, is better positioned to close that gap than any platform that would need to build from scratch.

Media Contact:
Kees Bol
social@2u.com 

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Autonomous Resource Corporation and Oak Ridge National Laboratory Partner to Accelerate AI-Enabled Defense Manufacturing at National Scale

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Strategic partnership combines ORNL’s supercomputing and advanced manufacturing expertise with ARC’s autonomous production platform to address critical defense industrial base shortfalls

OAK RIDGE, Tenn. and NEW YORK, April 24, 2026 /PRNewswire/ — Autonomous Resource Corporation (ARC), a Delaware corporation, and Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, today announced a Memorandum of Understanding (MOU) establishing a strategic public-private partnership to accelerate the on-demand manufacture of qualified, mission-critical components for U.S. national security applications.

The partnership combines ORNL’s HPC and manufacturing capability with ARC’s ARCNet distributed AI-manufacturing platform

The partnership — known as the Exascale Foundry — will combine ORNL’s computing and manufacturing capabilities with ARC’s ARCNet distributed manufacturing platform to create a closed-loop system for AI-enabled materials and manufacturing qualification and autonomous production at defense-relevant scale.

“The United States faces an urgent need to rebuild its manufacturing capacity for critical defense components,” said Bryan Wisk, CEO of ARC. “By combining ORNL’s world-leading computational, materials science, and manufacturing capabilities with our autonomous production infrastructure, we can compress manufacturing and qualification timelines from years to months and deliver manufactured parts at the volumes the warfighter needs.”

Partnership Highlights

Under the MOU, ARC will deploy advanced manufacturing equipment organized into seven production nodes connected to ORNL via ARC’s secure ARCNet infrastructure. ARC will expand capability through ORNL’s high-performance computing (HPC) resources.

ORNL will provide access to HPC expertise for simulation-driven materials characterization and qualification, along with technologies developed at the Manufacturing Demonstration Facility (MDF), the Department of Energy’s only large-scale, open-access advanced manufacturing facility. ORNL’s Peregrine AI software, which has analyzed over 1.9 million additive manufacturing layers, will be integrated into ARC’s production nodes for real-time adaptive control and quality assurance.

This partnership also supports DOE’s Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security and drive energy innovation. ARC and ORNL’s collective capabilities will help reenvision advanced manufacturing and industrial productivity, accelerate defense production and qualification, and secure critical supply chain elements.

“ORNL’s advanced manufacturing and computing capabilities are uniquely positioned to help accelerate the transition of laboratory-proven technologies into production-scale defense manufacturing,” said Moe Khaleel, ORNL associate laboratory director for National Security Sciences. “Partnering with ARC ensures we are transitioning our research into real production outcomes.”

The initial implementation will focus on high-temperature nickel superalloy turbine components for autonomous air vehicle engines using metal binder jetting technology, directly addressing demonstrated production bottlenecks in the U.S. defense supply chain.

ORNL Chief Manufacturing Officer Craig Blue added, “This partnership exemplifies the type of relationship necessary to build and grow domestic supply chains for our national security.”

About Autonomous Resource Corporation

ARC is a New York–headquartered corporation building and operating an AI-enabled, autonomous manufacturing platform for national security and critical infrastructure applications. ARC’s Autonomous Resource Controller Network (ARCNet) connects distributed production cells into a secure, federated manufacturing grid capable of producing qualified components at scale. ARC’s leadership team brings deep experience across defense technology, capital markets, materials science, and additive manufacturing at production scale.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. DOE’s Manufacturing Demonstration Facility at ORNL partners with more than 300 companies, spurring over $5.5 billion in economic growth. ORNL is managed by UT-Battelle, LLC for the U.S. Department of Energy’s Office of Science.

Media Contacts:

ARC: Bryan Wisk, Chief Executive Officer | bryan@autonomousresource.com | 929-523-3953

ORNL: Eric Swanson, National Security Sciences Communications Lead | swansonej@ornl.gov | 865-206-5794

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SOURCE Autonomous Resource Corporation

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