HighByte

🌴 HighByte CTO Aron Semle lit up the main stage as the opening keynote at S4x26 in Miami this year. Aron explained in practical terms the challenges of combining existing legacy OT infrastructure with modern AI. Manufacturers often struggle to scale because industrial data is siloed in bespoke connections and lacks context. While #DataOps and a UNS-based approach can help solve these challenges and fuel AI, Aron argues that the OT security community must understand this new architecture and be prepared to secure it. If you missed the sold out conference, you can still catch Aron's keynote on YouTube here. 🎥👇 bit.ly/40wR3Db

🔔 Last call! Join Ulf Yngvesson, CTIO at #Novotek AB, and HighByte leaders Aron Semle and Torey Penrod-Cambra this Thursday, March 19 for a 55-minute #UNS deep dive. They will: ✅ Give a short introduction to UNS concepts and use cases ✅ Share good design practices and common misconceptions ✅ Explain why UNS is only one component of a complete data architecture ✅ Demonstrate why UNS is a good foundation for #IndustrialAI use cases Office Hours is recommended for manufacturing IT professionals, data engineers, and system architects at industrial companies. Save your seat. 🎟️👇 bit.ly/4bMXacI

💡 In his latest post, HighByte Chief Product Officer John Harrington explains why #AgenticAI is driving a 100x increase in the number of data consumers on the factory floor. 🤖 In Industry 3.0, a handful of systems consumed shop floor data. Industry 4.0 pushed that to dozens. Now, manufacturers need to prepare for potentially thousands of autonomous AI agents—each one requiring specific, contextualized data delivered in real time. 🏗️ This isn't a theoretical exercise. It's a scaling problem that your existing data architecture was not built to handle. If you're planning an industrial AI investment in 2026, this guidance is worth the read. Access John's full post here.👇 bit.ly/4uwluH7

👋 Come explore #HighByte Intelligence Hub with an interactive product demo. This self-guided tour walks you through the core of our Industrial #DataOps solution—from Models and Pipelines to the features that enable manufacturers to collect, contextualize, and deliver industrial data without writing code. Whether you're evaluating solutions for your #IndustrialAI roadmap or looking to better understand what makes the Intelligence Hub a proven choice for global industrial companies, this guide is a great starting point. 🏁 No downloads. No forms. Take the tour here.👇 bit.ly/40qIhq7

Moving data ☝️ is not the same as understanding it. If we want to scale Agentic AI, we must bridge the semantic gap. ✏️ In his latest post, Colin Masson, Director of Research at @arc_advisory, provides a smart analysis of #i3X—the standards initiative announced by @CESMII_SM with a mandate to reduce the cost and time required to implement #SmartManufacturing by 50%. i3X allows developers to build products or AI agents against a standardized API rather than proprietary stacks. Learn more about this "API for the factory" and the working group supporting the specification based on interviews with John Dyck, Jonathan Wise, and Aron Semle. The complete post is available here.👇 bit.ly/4rtPxwH

☘️ Join HighByte and 600+ pharma and biotech manufacturing leaders at Pharma MES 2026 in Boston this month! Catch HighByte Chief Product Officer John Harrington on Monday, March 23 for his presentation, “How Leading Pharmaceutical Companies Are Building Their Data Architecture for AI Success, Leveraging MES & Operational Systems.” Attendees will learn how to: ✅ Standardize and contextualize MES and operational data to improve trust, compliance, and scalability. ✅ Enable reliable analytics using an Industrial DataOps approach—without re-architecting core manufacturing systems. ✅ Build a governed data foundation that supports advanced analytics today and AI-driven use cases. Grab your free ticket today. 👇 bit.ly/4ukiayJ

💡 80% of manufacturing executives plan to allocate at least 20% of their improvement budgets to smart manufacturing by 2026. Why? Because real-time, accessible data reduces manufacturing downtime, improves performance, and equips teams to make smarter operational decisions. But that kind of impact doesn’t happen without a strong data foundation—and for many manufacturers, that foundation is a Unified Namespace (UNS). In this @MachineDesign article, HighByte co-founder @ToreyMarie explains how a #UNS enables manufacturers to: ✅ Eliminate silos between IT and OT ✅ Standardize and contextualize industrial data ✅ Structure datasets around real operational needs ✅ Support scalable, AI-ready initiatives Read the full article👇 bit.ly/4cWZcrJ

📣 Introducing Office Hours with HighByte + Novotek! 🎥 Ulf Yngvesson, CTIO at Novotek AB, will join HighByte leaders Aron Semle and Torey Penrod-Cambra on March 19 for a 55-minute deep dive on the Unified Namespace #UNS. In this live webcast, they’ll explore the core concepts, purpose, and limitations of a UNS-based approach. 🎟️ Don’t miss this opportunity to see practical use cases and get your technical questions answered live. Register here.👇 bit.ly/4b8v0Yd

As a sponsor of the recent ProveIt Conference, we have learned how some attendees felt they were treated at the event and how their feedback was addressed in the weeks that followed. At HighByte, culture and values always take precedence over business opportunities. So, we stepped back to listen, discuss, and challenge each other internally on how attendees’ experiences at the event and the conversations that followed compare to our company culture, values, and how we expect professionals to act towards and treat one another. We promote an inclusive environment where anyone regardless of gender, race, religion, sexual preference, and age are treated fairly and with dignity. We expect our employees, partners, and vendors to do the same. As a company, we encourage industry leaders and the community to challenge how each of us can be a better person. It’s not about winning an argument or having the last say—it’s about fostering an environment where we all can share our experiences without being intimidated or silenced. Our industry is strongest when diverse voices are welcomed, recognized, and celebrated.

In today’s fast-paced industrial landscape, companies are looking for ways to boost efficiency, reduce costs, and increase revenue. 📊 @IDC, a leading research analyst firm, found that organizations using HighByte Intelligence Hub saw an average of $10.5 million in annual benefits—just six months after deploying the platform. Here’s how: 💸 $1.06M in additional revenue from stronger data-driven decision-making ⚙️ $1.52M in equipment-related savings by reducing downtime 👥 $7.99M in staff efficiency gains through automation and real-time data access Ready to see how HighByte can unlock this kind of value for your organization? Download the complete study here.👇 bit.ly/4uewuJk

What began as hypothesis among three founders in 2018 has grown into a global operation serving nearly 100 industrial companies across 24 countries and 20 industrial segments. 🚀 But we didn't do it alone. @mtimaine (MTI) has supported the company's journey since 2019 through grants, equity investments, mentorship, and active participation on the HighByte Board of Directors. Beyond funding, the relationship has truly became a long-term partnership. 🙏 If you're curious about the origin story of HighByte and what it means to build—and scale—an industrial software company in #Maine, spend a little time with this Innovator Spotlight published by our partners at MTI.👇 bit.ly/4b85rrm

Manufacturers don’t struggle to collect data; they struggle to use it. In this @automation_com article, John Rinaldi, CEO at @rtautomation, explains why lack of #context is to blame. He breaks down the 8 types of data context and why they are critical to making data usable. Because as he puts it: 💬 “Most edge gateways on the market today treat plant-floor data the same way a teenager treats laundry: grab whatever’s lying around and throw it into a pile. Sure, the data moves. Sure, it lands somewhere. But none of it arrives ready for use.” Platforms like #HighByte Intelligence Hub help manufacturers contextualize, model, and govern industrial data—so it’s structured, trusted, and ready for analytics and #AI. If you’re building an industrial #DataStrategy, this is worth the read.👇 bit.ly/4aII0nb

🔥 Things are heating up on the @ProveItxDFW main stage! Today, HighByte product leaders John Harrington, Jeffrey Schroeder, and Aron Semle presented their vision for the modern unified namespace—taking us from data chaos to AI-ready manufacturing. If you missed Aron's live demo, watch him scale HighByte Intelligence Hub from a single facility to a multi-site biomanufacturing enterprise using a #UNS architecture, DevOps principles, and AI-driven workflows. Aron shows us how to: ✅ Scale deployments using Docker, GitHub, and Portainer ✅ Centralize multi-site data ✅ Access UNS data via the i3x open standard ✅ Deliver AI insights to Ignition using Snowflake Cortex 🔌 Troubleshoot a faulty laptop power cord with AI 😉 Watch now👇 bit.ly/4rYhDAG

@kellypeilinchan @CRudinschi The context for a data point is typically not static but rather sourced by data from other systems. When these attributes (via many sources) can be curated into a data model and published as a complete payload, target applications have the context they need. HighByte excels here.

@CRudinschi @HighByteInc Automating the mapping is easy. Maintaining the context is the real problem.

The most time-consuming part of DataOps is identifying and mapping thousands of tags from an OPC server. @HighByteInc now uses AI to build the DataOps infrastructure itself. AI agents can now scan an address space, propose instance definitions, and even create pipelines using natural language. This allows the OT team to spend less time on manual configuration and more time on high-value analytics. #sponsored #highbyte_iiot

You've seen the headline. 95% of generative AI pilots at companies are failing. 💡 So, as AI adoption accelerates across life sciences manufacturing, the real question isn’t if AI will be used—but how well organizations are prepared to make it work. If you're a life sciences professional, here is the opportunity to share your perspective. Independent analyst firm #Axendia is wrapping up their study on how life sciences organizations are preparing for generative, agentic, and autonomous AI. ✅ Complete the anonymous survey and receive a complimentary copy of the final research report.👇 bit.ly/4asDcCb

🤠 HighByte is heading to Dallas for ProveIt! Conference 2026! 🎤 Don’t miss HighByte product leaders Aron Semle, John Harrington, and Jeffrey Schroeder on the main stage on Wednesday, February 18 at 9 am CT. 💡 The session will show, in real time, how the Intelligence Hub helps teams move beyond brittle point integrations by modeling and orchestrating industrial data at scale. Get practical guidance on deployment, ecosystem architecture, and cost optimization. Let's go! Mark your calendar👇 bit.ly/4rHGCIu #ProveIt2026 #UNS #DataOps

📣 HighByte Announces New Addition to Board of Directors 📣 Today, we're excited to announce the appointment of Scott Harden, Senior Vice President and Chief Technology Officer at @SchneiderElec, to the HighByte Board of Directors. Scott brings deep expertise in energy and #sustainability to the directorate. Learn more about the new appointment and board composition here. 🗞️👇 bit.ly/4cmfN85

🤖 AI in manufacturing doesn’t stall because of technology—it stalls because data isn’t ready. In this Breaking the Bottleneck article, John Harrington and other industry leaders share what it really takes to make AI deliver value on the plant floor.👇 bit.ly/4aF1uu0

🎙️HighByte's John Harrington recently joined Robert Weber and Peter Seeberg on the Industrial AI Podcast to discuss #MCP services and why they’re critical for bridging the gap between factory data and intelligent agents. In this episode, they explore: ✅ Why industrial data is hard to access—and what manufacturers are doing to change that ✅ What happens when robotics, world models, and agentic AI converge ✅ Why MCP services are foundational to making industrial AI work in manufacturing environments Catch the full episode here. 🎧👇 bit.ly/4rZmSAj

✈️ We’re headed to the ARC Industry Leadership Forum next week! 🤝 Catch John Harrington on Feb 11 at 10:30 am as he joins leaders from Plains All American + Streamline Control to explain how Industrial #DataFabric architectures enable scalable AI. 🎫👇 bit.ly/3Mix4V0