Technology
How Dirac and AWS Are Transforming Process Design: BuildOS Delivers AI-Driven Manufacturing at Software Speed
Published
2 months agoon
By
NEW YORK, Sept. 2, 2026 /PRNewswire/ — Today’s most ambitious manufacturers, particularly in defense, aerospace, and advanced industrial sectors, are racing to ramp production at software speed. Designs evolve weekly, products are increasingly modular and configurable, and the pressure to scale output without scaling headcount has never been greater.
Yet on most factory floors, the connective tissue between engineering intent and physical production still depends on static, manual, document-driven processes that were never designed to keep up. McKinsey finds that targeted improvements to existing defense industrial operations could cut production ramp-up times in half and double new capital efficiency. However, the industry continues to struggle with a younger, less experienced workforce where difficult skilled trades take significant time and training to master (read more).
The result is a coordination bottleneck. Engineering teams move quickly, but every design change ripples into hours or days of manual rework: reconciling CAD models, regenerating work instructions, updating routings in MES, and validating what is actually being built on the line. At scale, this consumes thousands of engineering hours per week that should be going into improving throughput, quality, and ramp speed. The downstream cost is staggering: Bain reports that aerospace and defense program cost overruns have surged to nearly $46 billion, while delivery timelines have stretched from 8 years to 11 years (read more).
A recent BCG global survey of nearly 1,800 manufacturing executives found that while 89% of companies plan to implement AI in their production networks, only 16% have achieved their AI-related targets (read more). To close that gap, Dirac and Amazon Web Services (AWS) are partnering to bring AI Process Design to advanced manufacturers. Through this partnership, Dirac’s BuildOS, the AI Process Design platform, is delivered on AWS infrastructure, including AWS GovCloud (US) for customers handling Controlled Unclassified Information (CUI), ITAR, and other export-controlled data.
In this post, we’ll share how Dirac’s BuildOS, hosted on AWS, helps manufacturers replace document-driven production with an automated, model-based system, as well as how customers like Anduril are already using it to compress work instruction authoring by nearly 90%.
Dirac is a manufacturing technology company building the AI-driven system of record for Process Design. Its mission is to rebuild the industrial capacity of the West by turning manufacturing facilities into context-aware, adaptive, dynamic environments.
The Manufacturing Coordination Bottleneck
In manufacturing, work instructions are the atomic unit of information on the factory floor. They are the step-by-step guidance that turns engineering intent into physical production: defining parts, tools, sequences, and fit. When products were stable and product lines changed slowly, static work instructions were workable. That world is gone.
Today, advanced manufacturers face a structurally different challenge:
Products are increasingly modular, configurable, and updated continuouslyDesign changes happen at software cadence, not annual release cadenceManufacturing engineers spend a significant portion of their time reconciling CAD, MES routings, and floor reality instead of improving the lineDocument drift between engineering and production introduces quality risk and slows ramp
Manufacturers facing this pattern are forced into a choice: slow design to protect manufacturing, or fundamentally rethink how the coordination layer works. For companies competing on speed, particularly in aerospace and defense, slowing down is not an option.
Snapshot of Dirac’s BuildOS
Rather than treating work instructions as static documents, Dirac’s BuildOS maintains a living, model-based representation of the product, the factory, and the relationship between the two. Geometry, structure, variants, physics, assembly logic, stations, tools, and material flow are represented in a single system. Work instructions are then derived automatically from this model, thus significantly reducing the need for manual authoring and re-authoring.
When the design changes, instructions update automatically. There is no painstaking re-authoring, no document drift, and no manual reconciliation between systems.
BuildOS is built on AI that deterministically reasons over structured manufacturing data by interpreting CAD geometry, inferring assembly steps, detecting dependencies, and propagating engineering changes through the Process Design. Beyond work instructions, BuildOS provides continuous Design-for-Manufacturability (DFM) feedback and earlier insight into cost, tooling, and throughput constraints.
AWS Powers and Secures Dirac BuildOS
Manufacturers, especially those operating in regulated environments, need production processes to be highly available, secure, and compliant from day one. That is why Dirac is powered by AWS.
Running on AWS gives Dirac and its customers:
Global, elastic infrastructure that scales with manufacturing demand without requiring customers to deploy or operate underlying infrastructure.AWS GovCloud (US) to support customers handling CUI, ITAR, and other export-controlled data, with FIPS-validated encryption.A mature security and compliance baseline, enabling Dirac to maintain SOC 2 Type II attestations, with controls aligned to NIST SP 800-171 and CMMC 2.0 Level 1 practices. (Dirac is not currently CMMC-certified; certification status will be updated as assessments are completed.)Defense-in-depth services — including identity, key management, network isolation, monitoring, and threat detection — so customers can deploy quickly while meeting their internal security requirements.
Dirac’s regulated environment is hosted in AWS GovCloud (US) and is used today by multiple defense contractors. CAD files, BOM data, factory models, and process designs are encrypted in transit and at rest, with keys managed through AWS-native key management services. This combination is what allows Dirac to stand up regulated environments in days rather than the months traditionally associated with bringing new tooling into a defense manufacturing program.
Eight Deployment Options, One Platform
Because manufacturers operate under widely different security, compliance, and IT requirements, Dirac on AWS offers eight supported deployment options. Each is built on AWS, and customers select the model that aligns with their data classification, compliance obligations, and internal infrastructure strategy.
This range matters because manufacturing customers do not all sit in the same place on the security and operations spectrum. A commercial industrial customer benefits from Dirac-managed SaaS on AWS Commercial. This offers fastest time-to-value and no infrastructure lift. A defense prime needing strict isolation, CUI support, and customer-owned operations can deploy Self-Hosted in their own AWS GovCloud (US) account. Every option in between exists for customers whose requirements fall in the middle.
For most regulated customers, Dirac typically recommends starting with SaaS on AWS GovCloud. It minimizes IT lift while meeting compliance requirements, and gets customers to production value quickly.
Business Benefits for Manufacturers
Manufacturers deploying BuildOS see impact across several critical dimensions:
Automated authoring: Work instruction authoring time is dramatically reduced, freeing manufacturing engineers from documentation work.Engineering changes propagate in minutes, not days: When a design update lands, the Process Design updates with it.Earlier DFM feedback: Cost, tooling, and throughput constraints are surfaced before production begins, reducing ramp risk.Scalable throughput without scalable coordination overhead: Production scales without proportional growth in engineering headcount.Production lines that adapt at the speed of design: The factory becomes responsive to engineering rather than a constraint on it.
Customer Spotlight: Anduril Selects Dirac to Power AI-Driven Work Instructions
In January 2026, Anduril selected Dirac as its core partner for AI-driven work instruction authoring in a multi-year deal, after evaluating incumbent enterprise tools and internal builds (read more). Before Dirac, more than 100 Anduril manufacturing engineers spent roughly half their time manually authoring and updating work instructions, equating to thousands of engineering hours per week.
[Embedded Video] Anduril COO Matt Grimm: “Dirac accelerates Anduril’s sales”
“Every serious manufacturer eventually hits the same wall: engineering moves fast, factories move carefully, and coordination becomes the true bottleneck. Dirac is the only team that understood this problem from first principles and how to solve it implicitly. Dirac’s BuildOS is becoming a core enabler of Arsenal OS, Anduril’s digital software ecosystem of manufacturing technologies. With Dirac, Anduril’s factories can be even more adaptive, dynamic, reconfigurable, and context-aware. AI-driven work instructions are the key.”
— Matt Grimm, Co-Founder and COO, Anduril
Deployed in an Anduril-hosted, ITAR-compliant AWS GovCloud environment, BuildOS was operational within days and delivered an 87.5% reduction in work instruction authoring time, therefore collapsing a 12-hour process into 90 minutes. Anduril is now rolling out Dirac enterprise-wide, standardizing BuildOS as core manufacturing infrastructure across the company.
[Embedded Video] Anduril COO Matt Grimm: “Since implementing BuildOS, we’ve seen wild, wild improvements” & 87.5% reduction in time to generate factory-ready work instructions from CAD
“The Dirac team understands manufacturing at a system level. Work instructions are the atomic unit of information in a factory, and Dirac’s BuildOS is the first platform we’ve evaluated that actually models that reality correctly. Just as importantly, they execute at an extremely high bar. From both a capabilities and execution standpoint, they were the obvious choice.”
— Cy Sack, Head of Business Systems, Anduril
Why This Partnership Matters
Advanced manufacturing is being redefined by speed, configurability, and the ability to adapt in real time. Achieving that requires automating the Process Design layer of the factory, where engineering intent meets physical production. Dirac is building that layer; AWS provides the secure, compliant, elastic foundation it runs on.
For manufacturers, the combined offering means:
Accelerated time to value: Regulated customers can be in production on AWS GovCloud in days, not months.Compliance-ready foundation: SOC 2 Type II attestations, controls aligned to NIST SP 800-171 and CMMC 2.0 Level 1 practices, and FIPS-validated encryption.Deployment flexibility: Eight supported deployment models on AWS so customers can match the platform to their security posture and operating model.Room to scale: from pilot to multi-site, multi-program production without re-architecting.
For Dirac, AWS is the foundation that makes serving the most demanding manufacturers in the country possible. For AWS, Dirac extends the platform into one of the highest-leverage layers of industrial operations: the system that decides, in real time, how things actually get built.
Conclusion
Dirac and AWS are partnering to give advanced manufacturers, from commercial industrials to defense primes, a path off document-driven manufacturing and onto a live, AI Process Design layer. With BuildOS deployed on AWS, manufacturers can collapse coordination overhead, propagate engineering changes through production in minutes, and scale output without scaling headcount.
To learn more about Dirac and how BuildOS can fit into your manufacturing stack, visit diracinc.com or contact the Dirac team at contact@diracinc.com.
Dirac Spotlight
Dirac is building the AI Process Design platform that replaces document-driven manufacturing with a dynamic system, helping advanced manufacturers run as fast as their engineering teams design.
Contributing Authors
Vedanth Srinivasan is Head of Solutions Engineering & Design and Go To Market (GTM) at Amazon Web Services, where he partners with technology companies building the future of advanced manufacturing.
This post was co-authored by the Dirac team in collaboration with AWS.
Media Contact: Gigi Schadrack, External Affairs, Dirac, Inc., gigi@diracinc.com, (929) 493-4722
View original content to download multimedia:https://www.prnewswire.com/news-releases/how-dirac-and-aws-are-transforming-process-design-buildos-delivers-ai-driven-manufacturing-at-software-speed-302867083.html
SOURCE Dirac, Inc.
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Technology
Axon Announces Body 5: Next-Generation Camera Built for the AI Era
Published
4 hours agoon
October 24, 2026By
Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field
SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.
For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.
“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”
Axon Body 5: Built for the AI Era
Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day.
For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.
Both models feature several key advancements, including:
25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.
The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:
A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.
Bringing More of Axon’s AI Era Into the Field
Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.
Increasingly, Axon is also bringing AI into real-time operations.
Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:
Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.
Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.
Innovating Responsibly
Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.
General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.
About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility.
Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.
Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.
Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com
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SOURCE Axon
Technology
In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design
Published
5 hours agoon
October 24, 2026By
The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.
ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.
The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.
The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.
Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.
The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.
Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.
Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.
Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.
The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.
As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.
A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.
About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.
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SOURCE HelloNation
Technology
World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang
Published
6 hours agoon
October 24, 2026By
WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:
On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.
He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.
With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.
Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.
This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.
Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.
In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.
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SOURCE China Daily
Axon Announces Body 5: Next-Generation Camera Built for the AI Era
In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design
World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang
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