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From Pilot to Production: Axtria and LangChain Partner to Govern and Scale AI Agents in Pharma

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Axtria’s pharma-native AgentOps framework and LangChain’s leading agent development platform help life sciences enterprises deploy AI agents with confidence and turn experimentation into operational results

BERKELEY HEIGHTS, N.J., April 29, 2026 /PRNewswire/ — Axtria Inc., a global leader in AI-first data analytics solutions for the life sciences industry, today announced a strategic partnership with LangChain,  the company behind the industry-standard LangSmith platform for building, deploying, and observing AI agents at scale. Together, the two organizations will help life sciences enterprises turn agentic AI experiments into operational results in production.

The partnership centers on Axtria’s AgentOps framework, a pharma-native governance layer built on LangSmith, providing enterprise clients with the visibility, compliance controls, and evaluation rigor to responsibly scale AI agents in regulated environments. The framework is already in production at a leading global biopharma delivering measurable gains in agent observability, evaluation quality, and governance compliance and is live across Axtria’s own InsightsMAx.ai multi-agent platform

LangSmith delivers the foundational infrastructure: building deep long-horizon agents, end-to-end agent tracing, prompt management, agent evaluation and deployments tooling. Axtria adds the pharma intelligence layer including Look-Alike, Sound-Alike (LASA) drug safety evaluators to prevent dangerous medication confusions, GxP compliance enforcement, patient safety detection, and persona-driven dashboards for Medical Affairs, Medical Legal Review, Commercial, and IT stakeholders.

What This Means for Life Sciences Organizations

Most pharma and biotech companies have AI agent pilots underway. Few have crossed the threshold into reliable, governed production. Two challenges consistently block the path: regulated environments demand a level of traceability and compliance that generic AI tooling does not provide, and the domain expertise required to define ‘good’ for a medical affairs agent is fundamentally different from a commercial or compliance one. This partnership directly addresses both.

Commercial: Field Agents That Actually Get Used: Pre-call planning agents surface HCP insights and next-best-action recommendations ahead of every rep interaction. The solution tracks not just what the agent recommends but whether reps act on it. Performance is continuously tuned on real field feedback, creating a direct, measurable link between agent output and commercial results.

Medical Affairs: From Query to Defensible Answer: When a Medical Affairs team deploys an oncology agent to answer HCP queries, every response is automatically checked for drug name confusion, validated against approved labeling, and fully traceable. If a regulator asks how the system reached a conclusion, the complete decision path is on record. No retroactive documentation. No manual reconstruction.

Medical Legal Review: Compliance Built In, Not Bolted On: Promotional content is pre-screened against FDA-approved labeling before it ever reaches a human reviewer — claims validated, off-label risks flagged, fair balance checked. The audit trail isn’t assembled after the fact. It’s a byproduct of how the agent works.

“Axtria has spent more than 15 years helping the world’s leading life sciences companies turn data into decisions, and AI agents are the next frontier of that mission. Our clients are past the question of whether agents can work they’re asking how to make them work reliably across the enterprise and tie that performance to real results. This partnership with LangChain gives them exactly that: the governance foundation, the operational playbook, and the agent capabilities to move from experimentation to enterprise scale without starting from scratch,” Navdeep (Navi) Chadha, Co-founder & EVP, Axtria.

“We know what AI agents can do, but the true value for the enterprise is in how reliably, safely, and transparently they do it. Axtria brings exactly the domain depth and operational rigor that life sciences organizations need to move from experimentation to production-grade AI. Together, we’re giving pharma companies a clear path from agent deployment to real, defensible business outcomes,” Karan Singh, Head of Partnerships, LangChain.

What the Partnership Delivers

Together, Axtria and LangChain offer life sciences organizations an integrated, enterprise-ready solution spanning the full agentic AI lifecycle:

Agents as a Service: Pre-built, pharma-validated agents across Commercial, Medical Affairs, Patient Services, and Data Engineering deployable and governed from day one, without building from scratch.Pharma-Native Observability & Governance: Enterprise-grade visibility, compliance enforcement, and audit-readiness built specifically for regulated environments covering GxP traceability, immutable audit trails, and model version tracking.Cost Intelligence: Portfolio-level cost governance that helps enterprises optimize AI spend, right-size model selection, and prevent runaway costs without compromising safety or quality.

Learn More

Life sciences organizations interested in moving their AI agent programs from pilot to production can request a demo at connect@axtria.com.  

About Axtria 

Axtria helps life sciences companies harness the potential of data science and software to improve patient outcomes by connecting the right therapies to the right patients at the right time. A leading global provider of award-winning cloud software and data analytics, Axtria delivers proven solutions that help pharmaceutical, medical device, and diagnostics companies complete their journey from data to insights to action. As a participant in the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption. For more information, visit www.axtria.com

About LangChain

LangChain is the agent engineering platform powering top engineering teams, from AI startups to global enterprises. Its open-source frameworks, including LangChain, LangGraph, and Deep Agents, have surpassed 1 billion cumulative downloads and are used by over one million practitioners. LangSmith, the observability, evaluation, and deployment platform, serves over 300 enterprise customers and 5 of the Fortune 10. LangChain is backed by Sequoia Capital, Benchmark, and IVP. For more information, visit langchain.com.

 

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SOURCE Axtria, 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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