{"success":true,"data":{"pressRelease":{"id":"160605","rtpr_id":"nGNX2j1Xvt-20261005","ticker":"TER","exchange":"NASDAQ","all_tickers":["TER"],"title":"Teradyne Makes Strategic Investment in Bright Machines to Advance AI Infrastructure Manufacturing","author":"Globe Newswire","published_at":"2026-10-05T13:00:00.702Z","article_body":"NORTH READING, Mass. and SAN FRANCISCO, Oct. 05, 2026 (GLOBE NEWSWIRE) --\nTeradyne, Inc. (NASDAQ: TER), a leading provider of automated test equipment\nand advanced robotics systems, and Bright Machines, Inc., a next-generation\nmanufacturer bringing AI and data center infrastructure production to the\nedge, today announced a strategic investment by Teradyne in Bright Machines.\nThe investment accompanies a strategic collaboration focused on integrating\nTeradyne robotics and test technologies with Bright Machines’\nsoftware-defined manufacturing platform and advancing AI infrastructure\nmanufacturing.\n\nBuilding the AI Backbone\n\nAI infrastructure is driving one of the largest electronics manufacturing\nbuildouts in recent history. As hyperscalers, AI laboratories, silicon\nproviders, and OEMs invest in next-generation compute, manufacturing has\nbecome a determinant of deployment speed, quality, and economic value, and\nmanufacturers place a premium on lines that can be reconfigured in software as\nproduct designs refresh.\n\nTeradyne works with manufacturers across that ecosystem, including EMS and ODM\nproviders, OEMs, and hyperscalers, supplying the robotics and test\ntechnologies that make high-mix, high-value electronics production possible.\nBright Machines brings a unique software-defined manufacturing platform\nspanning design, robotics, automation, inspection, material movement,\nproduction intelligence, and operations, with a history of more than 130\nmicrofactory deployments across 10+ countries and, today, active AI\ninfrastructure production in the United States.\n\n\"Physical AI is changing what is possible on the factory floor, and Teradyne\nand Bright Machines are partnering to accelerate this evolution,\" said Shantnu\nSharma, chief development officer, Teradyne. \"The combination of Bright\nMachines depth in software-defined manufacturing, and Teradyne’s decades of\nexperience in robotics and test gives companies building AI infrastructure a\nfaster path from design into production, with data behind every unit they\nbuild.\"\n\nWhat the Companies Will Explore\n\nThe companies intend to evaluate integrating Teradyne technologies into Bright\nMachines manufacturing environments, including precision robotic assembly,\nrobotic loading and unloading of test equipment, and autonomous movement of\nmaterials across the factory.\n\nThe central idea behind the partnership is deployment at Bright Machines’\nand customers’ own sites, where the Bright Machines manufacturing platform,\nUniversal Robots collaborative robots, and Teradyne board test systems would\noperate together on a production floor. Each produces a distinct stream of\ninformation: assembly and inspection data, robot and material-movement data,\nand electrical test results. By connecting these data streams with Bright\nMachines’ product genealogy and manufacturing intelligence capabilities,\ncustomers can maintain an end-to-end production data thread linking design\ndecisions, assembly execution, and electrical performance.\n\n“What limits automation today is not what a robot can physically do but how\nmuch engineering it takes to tell it what to do,” said James Davidson, chief\nAI officer, Teradyne. “When a robot can pick up a new task in hours instead\nof being re-engineered over weeks, high-mix, short lifecycle production\nbecomes the default. Once build data and test data sit in the same loop, the\nline can correct itself quickly.”\n\n“The next generation of AI infrastructure calls for a manufacturing approach\nthat is more automated, software-defined, data-driven, and responsive to\nchange,” said Sviat Dulianinov, chief executive officer, Bright Machines.\n“Teradyne's expertise, and the investment that comes with it, helps us\nvalidate that approach. Their robotics and test technologies are complementary\nto our platform, and together we can help customers simplify integration,\naccelerate deployment, and maintain a complete production data thread.”\n\n“Manufacturing is where AI becomes physical,” said Lior Susan, founder and\nCEO of Eclipse and co-founder and chairman of Bright Machines. “The AI\nbuildout will be won by companies that can turn increasingly complex hardware\ninto production quickly, reliably, and at scale. Teradyne brings decades of\nleadership in robotics and test, making them a powerful partner as Bright\nMachines builds the manufacturing infrastructure for the AI era.”\n\nAI infrastructure manufacturing is demanding: product complexity is high,\ndesign cycles are short, quality requirements are stringent, and schedules\nleave little room for rework. Manufacturers serving this market increasingly\nvalue an integrated approach spanning manufacturing design, intelligent\nrobotics, autonomous material movement and inspection, and end-to-end\nproduction intelligence, delivered as one coordinated system. Together, Bright\nMachines' software-defined manufacturing platform and Teradyne's robotics and\ntest portfolio aim to bring these pieces together to lead AI infrastructure\nbuildouts.\n\nAbout Bright Machines\n\nBright Machines is a next-generation manufacturer bringing AI and data center\ninfrastructure production to the edge. By embedding software-defined\nautomation, AI-driven quality enforcement, and unified manufacturing data\ndirectly into customer and partner facilities, Bright Machines delivers fast,\nconsistent, and adaptable production of highly complex systems, maintaining\ntraceability and control as products and configurations evolve. With\nexperience from deploying more than 130 microfactories across 10+ countries\nand 60+ customers, the company brings deep manufacturing excellence to one of\nthe most demanding production environments in the world. Bright Machines is\nbacked by BlackRock, NVIDIA, Microsoft, and Eclipse.\n\nAbout Teradyne\n\nTeradyne (NASDAQ: TER) designs, develops, and manufactures automated test\nequipment and advanced robotics systems. Its semiconductor and electronics\ntest solutions span the full AI device supply chain, from wafer to data\ncenter, enabling customers to meet the quality and reliability standards the\nAI era demands. Its advanced robotics business deploys intelligent automation\nacross manufacturing, logistics, and data center operations for customers\nworldwide. For more information, visit teradyne.com. Teradyne® is a\nregistered trademark of Teradyne, Inc., in the U.S. and other countries.\n\nFor more information:\n\nAmy McAndrews\nInvestor Relations\nTel 978.370.3945\ninvestor.relations@teradyne.com\n\nChristine Penwell\nAccount Director\nTel 509.830.1665\nchristine@offleashpr.com\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/5f808839-33d5-444a-b984-ed18e04514a3)\n\n\n\nGlobeNewswire, Inc. 2026","article_body_html":"","raw_payload":{"data":{"id":"nGNX2j1Xvt-20261005","title":"Teradyne Makes Strategic Investment in Bright Machines to Advance AI Infrastructure Manufacturing","author":"Globe Newswire","ticker":"TER","created":"2026-10-05T13:00:00.702Z","tickers":["TER"],"exchange":"NASDAQ","article_body":"NORTH READING, Mass. and SAN FRANCISCO, Oct. 05, 2026 (GLOBE NEWSWIRE) --\nTeradyne, Inc. (NASDAQ: TER), a leading provider of automated test equipment\nand advanced robotics systems, and Bright Machines, Inc., a next-generation\nmanufacturer bringing AI and data center infrastructure production to the\nedge, today announced a strategic investment by Teradyne in Bright Machines.\nThe investment accompanies a strategic collaboration focused on integrating\nTeradyne robotics and test technologies with Bright Machines’\nsoftware-defined manufacturing platform and advancing AI infrastructure\nmanufacturing.\n\nBuilding the AI Backbone\n\nAI infrastructure is driving one of the largest electronics manufacturing\nbuildouts in recent history. As hyperscalers, AI laboratories, silicon\nproviders, and OEMs invest in next-generation compute, manufacturing has\nbecome a determinant of deployment speed, quality, and economic value, and\nmanufacturers place a premium on lines that can be reconfigured in software as\nproduct designs refresh.\n\nTeradyne works with manufacturers across that ecosystem, including EMS and ODM\nproviders, OEMs, and hyperscalers, supplying the robotics and test\ntechnologies that make high-mix, high-value electronics production possible.\nBright Machines brings a unique software-defined manufacturing platform\nspanning design, robotics, automation, inspection, material movement,\nproduction intelligence, and operations, with a history of more than 130\nmicrofactory deployments across 10+ countries and, today, active AI\ninfrastructure production in the United States.\n\n\"Physical AI is changing what is possible on the factory floor, and Teradyne\nand Bright Machines are partnering to accelerate this evolution,\" said Shantnu\nSharma, chief development officer, Teradyne. \"The combination of Bright\nMachines depth in software-defined manufacturing, and Teradyne’s decades of\nexperience in robotics and test gives companies building AI infrastructure a\nfaster path from design into production, with data behind every unit they\nbuild.\"\n\nWhat the Companies Will Explore\n\nThe companies intend to evaluate integrating Teradyne technologies into Bright\nMachines manufacturing environments, including precision robotic assembly,\nrobotic loading and unloading of test equipment, and autonomous movement of\nmaterials across the factory.\n\nThe central idea behind the partnership is deployment at Bright Machines’\nand customers’ own sites, where the Bright Machines manufacturing platform,\nUniversal Robots collaborative robots, and Teradyne board test systems would\noperate together on a production floor. Each produces a distinct stream of\ninformation: assembly and inspection data, robot and material-movement data,\nand electrical test results. By connecting these data streams with Bright\nMachines’ product genealogy and manufacturing intelligence capabilities,\ncustomers can maintain an end-to-end production data thread linking design\ndecisions, assembly execution, and electrical performance.\n\n“What limits automation today is not what a robot can physically do but how\nmuch engineering it takes to tell it what to do,” said James Davidson, chief\nAI officer, Teradyne. “When a robot can pick up a new task in hours instead\nof being re-engineered over weeks, high-mix, short lifecycle production\nbecomes the default. Once build data and test data sit in the same loop, the\nline can correct itself quickly.”\n\n“The next generation of AI infrastructure calls for a manufacturing approach\nthat is more automated, software-defined, data-driven, and responsive to\nchange,” said Sviat Dulianinov, chief executive officer, Bright Machines.\n“Teradyne's expertise, and the investment that comes with it, helps us\nvalidate that approach. Their robotics and test technologies are complementary\nto our platform, and together we can help customers simplify integration,\naccelerate deployment, and maintain a complete production data thread.”\n\n“Manufacturing is where AI becomes physical,” said Lior Susan, founder and\nCEO of Eclipse and co-founder and chairman of Bright Machines. “The AI\nbuildout will be won by companies that can turn increasingly complex hardware\ninto production quickly, reliably, and at scale. Teradyne brings decades of\nleadership in robotics and test, making them a powerful partner as Bright\nMachines builds the manufacturing infrastructure for the AI era.”\n\nAI infrastructure manufacturing is demanding: product complexity is high,\ndesign cycles are short, quality requirements are stringent, and schedules\nleave little room for rework. Manufacturers serving this market increasingly\nvalue an integrated approach spanning manufacturing design, intelligent\nrobotics, autonomous material movement and inspection, and end-to-end\nproduction intelligence, delivered as one coordinated system. Together, Bright\nMachines' software-defined manufacturing platform and Teradyne's robotics and\ntest portfolio aim to bring these pieces together to lead AI infrastructure\nbuildouts.\n\nAbout Bright Machines\n\nBright Machines is a next-generation manufacturer bringing AI and data center\ninfrastructure production to the edge. By embedding software-defined\nautomation, AI-driven quality enforcement, and unified manufacturing data\ndirectly into customer and partner facilities, Bright Machines delivers fast,\nconsistent, and adaptable production of highly complex systems, maintaining\ntraceability and control as products and configurations evolve. With\nexperience from deploying more than 130 microfactories across 10+ countries\nand 60+ customers, the company brings deep manufacturing excellence to one of\nthe most demanding production environments in the world. Bright Machines is\nbacked by BlackRock, NVIDIA, Microsoft, and Eclipse.\n\nAbout Teradyne\n\nTeradyne (NASDAQ: TER) designs, develops, and manufactures automated test\nequipment and advanced robotics systems. Its semiconductor and electronics\ntest solutions span the full AI device supply chain, from wafer to data\ncenter, enabling customers to meet the quality and reliability standards the\nAI era demands. Its advanced robotics business deploys intelligent automation\nacross manufacturing, logistics, and data center operations for customers\nworldwide. For more information, visit teradyne.com. Teradyne® is a\nregistered trademark of Teradyne, Inc., in the U.S. and other countries.\n\nFor more information:\n\nAmy McAndrews\nInvestor Relations\nTel 978.370.3945\ninvestor.relations@teradyne.com\n\nChristine Penwell\nAccount Director\nTel 509.830.1665\nchristine@offleashpr.com\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/5f808839-33d5-444a-b984-ed18e04514a3)\n\n\n\nGlobeNewswire, Inc. 2026"},"type":"article","timestamp":"2026-10-05T13:00:01.518239073Z","server_sent_at_ms":1791205201518},"received_at":"2026-10-05T13:00:01.569Z","source_url":null},"analysis":{"id":"149161","press_release_id":"160605","analysis_json":{"industry":{"label":"Semiconductors & Semiconductor Equipment","sector":"Information Technology"},"redFlags":["investment amount not disclosed","partnership is exploratory -- integration is to be evaluated, not committed"],"eventType":"partnership","narrative":"Teradyne announced a strategic investment in Bright Machines alongside a collaboration to integrate Teradyne robotics and test technologies with Bright Machines' software-defined manufacturing platform for AI infrastructure production.\n\nThe companies will explore deploying Universal Robots cobots and Teradyne board test systems together on customer production floors, connected through Bright Machines' manufacturing intelligence to create an end-to-end production data thread.\n\nNo investment amount was disclosed. For Teradyne, the deal positions its robotics and test portfolio inside AI data center hardware manufacturing, but near-term financial impact is undefined.","sentiment":"bullish","agentHooks":{"shouldPost":true,"suggestedAngle":"Teradyne buys a seat in AI-infrastructure manufacturing via Bright Machines partnership, but terms undisclosed and integration only exploratory."},"keyFigures":{"customDimensions":{"bright_machines_countries":"10+","bright_machines_customers":"60+","bright_machines_microfactory_deployments":130}},"quotedText":"Physical AI is changing what is possible on the factory floor, and Teradyne and Bright Machines are partnering to accelerate this evolution","namedEntities":{"people":[{"name":"Shantnu Sharma","role":"Chief Development Officer, Teradyne"},{"name":"James Davidson","role":"Chief AI Officer, Teradyne"},{"name":"Sviat Dulianinov","role":"CEO, Bright Machines"},{"name":"Lior Susan","role":"Founder and CEO of Eclipse; co-founder and chairman of Bright Machines"}],"products":["Universal Robots collaborative robots","Teradyne board test systems"],"companies":[{"name":"Teradyne, Inc.","ticker":"TER","relationship":"filer/investor"},{"name":"Bright Machines, Inc.","relationship":"investment target and strategic partner"},{"name":"Eclipse","relationship":"Bright Machines investor"},{"name":"BlackRock","relationship":"Bright Machines backer"},{"name":"NVIDIA","relationship":"Bright Machines backer"},{"name":"Microsoft","relationship":"Bright Machines backer"}],"dollarAmounts":[]},"materialImpact":{"score":2,"reasoning":"A strategic minority investment plus collaboration pairing Teradyne robotics/test with Bright Machines' software-defined manufacturing. Financial terms are undisclosed and near-term revenue impact is speculative, but it strengthens Teradyne's position in AI infrastructure manufacturing."},"tickerRelevance":{"others":[],"primary":"TER"},"globalImportance":30,"audienceRelevance":35,"eventTypeSecondary":["m_and_a"],"importanceComponents":{"tickerTier":"large-cap","aiThemeBoost":true,"eventGravity":"strategic-partnership-minority-investment","termsDisclosed":false}},"event_type":"partnership","event_type_secondary":["m_and_a"],"sentiment":"bullish","material_impact_score":2,"narrative":"Teradyne announced a strategic investment in Bright Machines alongside a collaboration to integrate Teradyne robotics and test technologies with Bright Machines' software-defined manufacturing platform for AI infrastructure production.\n\nThe companies will explore deploying Universal Robots cobots and Teradyne board test systems together on customer production floors, connected through Bright Machines' manufacturing intelligence to create an end-to-end production data thread.\n\nNo investment amount was disclosed. For Teradyne, the deal positions its robotics and test portfolio inside AI data center hardware manufacturing, but near-term financial impact is undefined.","key_figures":{"customDimensions":{"bright_machines_countries":"10+","bright_machines_customers":"60+","bright_machines_microfactory_deployments":130}},"named_entities":{"people":[{"name":"Shantnu Sharma","role":"Chief Development Officer, Teradyne"},{"name":"James Davidson","role":"Chief AI Officer, Teradyne"},{"name":"Sviat Dulianinov","role":"CEO, Bright Machines"},{"name":"Lior Susan","role":"Founder and CEO of Eclipse; co-founder and chairman of Bright Machines"}],"products":["Universal Robots collaborative robots","Teradyne board test systems"],"companies":[{"name":"Teradyne, Inc.","ticker":"TER","relationship":"filer/investor"},{"name":"Bright Machines, Inc.","relationship":"investment target and strategic partner"},{"name":"Eclipse","relationship":"Bright Machines investor"},{"name":"BlackRock","relationship":"Bright Machines backer"},{"name":"NVIDIA","relationship":"Bright Machines backer"},{"name":"Microsoft","relationship":"Bright Machines backer"}],"dollarAmounts":[]},"model_name":"glm-5.3-flashx","prompt_hash":"sha256:727b4b9429a443af","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-10-05T13:00:07.728Z","global_importance":30,"audience_relevance":35,"importance_components":{"tickerTier":"large-cap","aiThemeBoost":true,"eventGravity":"strategic-partnership-minority-investment","termsDisclosed":false}},"durationMs":6107,"modelName":"glm-5.3-flashx"}}