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Midmo.ai Comes out of Stealth Mode with Connective Tissue for Traceability Solutions

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CLEVELAND, Jan. 24, 2025 /PRNewswire/ — Ohio startup Midmo AI is transforming track-and-trace solution adoptions by simplifying an otherwise complex set of hardware, software, and application integrations. Behind the scenes, Midmo’s MotionView platform is already serving automatic identification and data capture (AIDC) for brands and solution providers by seamlessly integrating connectivity technology and software. Now the company is introducing itself at Manifest 2025, Las Vegas, February 10 – 12, with a premier startup booth, K51, near the Innovation Stage. Midmo, launched by auto-ID industry expert David Zingery, and CEO  redefines traceability by enabling data accuracy as a service, in the form of seamless visibility and tracking that’s agnostic to the type of technology and hardware used. In fact, its MotionView software, with advanced AI integrated at the edge, empowers businesses to achieve unparalleled visibility and control over their operations from a single source.

MotionView has already positioned itself as the industry’s behind-the-scenes, go-to solution for simplifying AIDC. It provides connectivity between hardware and market-available ERP solutions while enabling device management, and real-time item visibility and traceability. The platform allows for easy, lightweight, low-code connectivity to a wide array of IoT devices, sensors, and technologies (including RFID, BLE, GPS, UWB, LoRaWan, etc.). 

Poised to revolutionize connectivity and AIDC, Midmo has now opened its official seed funding round, for investors, to support research and development, strategy and marketing.

Making the Complex Simple

Track-and-trace solutions have expanded across industries – from retail to manufacturing to healthcare — but growth has faced an unresolved challenge: the complexities of connecting diverse devices and technologies at scale.

Zingery brings 20 years of technology and supply chain management experience to Midmo with a single mission: to eliminate the politics and complexities that burden traceability solutions. The company has achieved this by developing a technology- and device-agnostic platform, providing integrated, AI-enabled devices and enterprise translation, edge-level item intelligence, “core” and “headless” solutions, and enhanced data management.

Companies are already onboard employing and benefitting from MotionView to eliminate the need for specialized, high-cost, complex or over-tooled software, to deliver immediate value . Midmo follows a partner-led approach, its partners include companies that are solution and service providers and OEM device manufacturers, to offer an extensible platform containing all the functionality needed for real-time traceability.

“By our nature, we serve our partners from behind the scenes. In many cases we are the white labeled connective tissue enabling their solutions. Now it’s time to share our story with the traceability market,” said Zingery. “We want to become that industry-standard connectivity layer for AIDC initiatives.” And while many companies can connect some technologies, he added, they don’t have the bandwidth to continue maintenance and upkeep of the connectivity to the edge. “We want to check that box for everyone, ultimately keeping the connectivity, data integrity and data accuracy as a service and enabling and accelerating innovation for our partners and end customers.”

MotionView is a hybrid, cloud-enabled extensible platform that also supports on-premises deployment for maximum flexibility. What sets it apart is its:

Universal Connectivity in and out: MotionView integrates seamlessly with a wide array of AIDC and industrial internet of things (IIoT) devices, sensors and technologies using low-code tools for a quick setup.

Powerful Traceability Tools: Built for item-level visibility, the platform manages tooling, personnel, finished goods and packaging, with advanced features like item aggregation and trackable transitions for various application verticals.

Real-Time Data Visualization: With exportable insights and integration-ready capabilities, MotionView connects effortlessly to core business systems and analytics platforms, presenting data for AI Agents, and providing a holistic view of supply chain and logistics operations for ongoing modernization.

Headless Architecture Design: Simplifies management across supply chain scenarios, ensuring adaptability for any item type.

MotionView boasts a lightweight tech stack and integrates via API and MQTT for external connectivity to core business systems including ERP, WMS, TMS, etc. The platform can act either as middleware, or the main system of record, with Enterprise system AI-translation, for item and asset management at all stages and scales. 

About Midmo AI

Together with its partners, Midmo is transforming how the world views and manages item-level traceability. In addition to MotionView, Midmo offers its mobile app ValidPoint — an Android-based application for use on a growing variety of handheld and mobile devices. Midmo provides flexible pricing arrangements that are designed to enable and accelerate all shapes and sizes of identification and automation initiatives to enhance and simplify traceability for partners and end-users.

Press Contact: connect@midmo.ai

Linkedin: https://www.linkedin.com/company/midmo

Learn more at www.midmo.ai

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SOURCE Midmo Inc

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

View original content to download multimedia:https://www.prnewswire.com/news-releases/air-products-to-expand-industrial-gas-supply-for-samsung-electronics-next-generation-semiconductor-fab-in-south-korea-302757497.html

SOURCE Air Products

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