EthonAI will be presenting at the Global Smart Manufacturing Summit in Munich today, hosted by Conferenzia World. The event brings together leading manufacturers shaping the future of industrial operations, automation, and digital transformation. Corinna Leist, Director Go-To-Market & Growth at Ethon, will be on the main stage today at 10:25 am CET. If you're attending, come join her talk or simply stop by our booth with Tanja Koch to discuss how Ethon’s Industrial AI Platform enables manufacturers to move beyond classic automation and into real-time, causal understanding of production performance by identifying root causes of variation and optimizing operations across lines and sites. Let’s connect and explore how to unlock true operational excellence. Curious to learn more? Discover how Ethon's Industrial AI Platform helps manufacturers worldwide optimize their production and produce more with less: https://www.ethon.com/
EthonAI
Software Development
Stadtkreis 5 Industriequartier, Zurich 8,266 followers
Produce more with less
About us
Ethon’s AI Platform understands how your production processes behave in real-time, surfacing deviations and explaining what drives variation. It guides teams to optimize cost, quality, and speed while keeping operations under control across factories.
- Website
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http://www.ethon.com
External link for EthonAI
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Stadtkreis 5 Industriequartier, Zurich
- Type
- Privately Held
- Founded
- 2021
- Specialties
- Operational Excellence, OEE Improvement, Root Cause Analysis, Value Stream Mapping, Centerlining, Material Flow Analysis, Visual Quality Inspection, Condition Monitoring, Industrial AI, Causal AI, Process Mining, Anomaly Detection, CPG, Electronics, Assembly, Process Industry, and Mechanics
Locations
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Primary
Get directions
Förrlibuckstrasse 70
Stadtkreis 5 Industriequartier, Zurich 8005, CH
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Get directions
1460 Broadway, New York, NY 10036
New York City, US
Employees at EthonAI
Updates
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EthonAI reposted this
It was a privilege to give a "Moonshot talk" at the World Economic Forum, Advanced Manufacturing and Supply Chain Forum in San Francisco last week. We discussed how variations in raw materials, machines, weather, and similar factors drive quality losses, throughput issues, and erode margins. When we explore why these known issues remain unaddressed, we consistently arrive at the same conclusion: variation is normal, but the challenge lies in understanding it. This understanding is at the core of what we do at EthonAI. Curious how others in manufacturing are tackling this? Thanks for organizing this amazing session Maria Clara Sayeg.
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CATALYST 2026 in Zurich marked a big milestone for EthonAI! Our first community forum dedicated to hands-on experience exchange among manufacturing professionals and the experts driving operational excellence on the shop floor. The day was defined by candid, practical conversations among peers on what it actually takes to deploy and adopt Industrial AI across European factories. The overarching consensus? 1. Mindset & change management: The technology only works if you bring the shop floor along. Success requires deliberate change management to turn AI into a trusted decision-support partner 2. Start small, iterate fast: Don’t wait for "perfect" data. The consensus was clear: focus on initial use/business case with what you have and where your biggest losses are, prove the value quickly, and then scale 3. Data + context is key: Data alone isn't enough. To eliminate the "black box" and avoid wrong conclusions, you must map human domain knowledge and operational context directly into the AI A big thank you to our outstanding speakers Torbjørn Netland (ETH Zurich), Ivo Rupper, Francesco Reggianini, and Daniel Fejzo, as well as to all attendees from more than a dozen leading manufacturing companies across Europe. Special shoutout also to Amboss Rampe for providing the perfect setting to host this unique gathering. CATALYST truly showed the strength of this community of forward-thinking companies and individuals proving that it's time to move beyond traditional ML tools toward true operational intelligence. Curious to learn more? Discover how Ethon's Industrial AI Platform helps manufacturers worldwide optimize their production and produce more with less: https://www.ethon.com/
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Day 1 at #EFMS26: The energy in Düsseldorf is incredible! We’ve had a fantastic start today, with energizing conversations and a truly authentic atmosphere. We aren’t just talking F&B manufacturing high-level; we’re diving into the real, on-the-ground challenges that keep F&B leaders up at night: 📊 The data gap: How to actually solve data availability on the floor 🤝 The workforce: How to empower and source the next generation of operators 🚀 The rapid tech shift: How to help teams embrace rapid innovation rather than just reacting to it It’s inspiring to see such focus and proactivity from F&B leaders looking to move the needle with Industrial AI. If you’re roaming the floor tomorrow, come find Hendrik Schmid, Tanja Koch, and Corinna Leist at Booth No. 1. We’re ready to dive deep into: ✅ Real-time process optimization ✅ Role-specific guidance and process control ✅ Scalability across lines and sites Let’s keep this momentum going into Day 2! See you there. #ProduceMoreWithLess #IndustrialAI #FoodManufacturing #EFMS26 #OperationalExcellence #DigitalTransformation
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EthonAI is sponsoring the European Manufacturing Summit for the second consecutive year. We look forward to connecting with Europe’s leading senior food and beverage executives and industry peers to exchange ideas, explore innovations, and shape the future of the F&B sector. 📍 Venue: Crowne Plaza Düsseldorf Neuss 📅 Dates: April 29–30, 2026 📌 Booth: No. 1 Speak to Hendrik Schmid, Tanja Koch and Corinna Leist to discuss how Ethon’s Industrial AI Platform helps Food & Beverage manufacturers achieve operational excellence by: - Understanding process deviations and their root causes in real time - Providing actionable role-specific guidance to optimize performance - Unlocking scalability and learning across lines and sites See you there! #ProduceMoreWithLess #IndustrialAI #FoodManufacturing #EFMS26
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EthonAI is at HANNOVER MESSE! 🇩🇪 The Fair Grounds are buzzing with visitors and our team onsite is ready to connect. Today and tomorrow, find us at the Siemens Startups space in Hall 27, Booth A48, Station 107. Discover how Ethon’s Industrial AI Platform is leading the way in production and operational optimization worldwide through agentic workflows with causal reasoning. Our platform learns and understands your processes in real time, empowering you to control, adjust, and optimize operations effortlessly across lines and factories. Understand the why behind performance. Hendrik Schmid and Lior Akazany will be happy to speak to you. #HM26 #HannoverMesse #IndustrialAI #Manufacturing #ProduceMorewithLess
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One more reason you shouldn’t miss HANNOVER MESSE next week: EthonAI is co-exhibiting with Siemens at the world’s leading fair for the manufacturing industry. Thu, Apr 23 | 11:30 AM - Join us at the Main Stage, Hall 27 for a panel discussion on Siemens–Startup collaboration. Hendrik Schmid from EthonAI will be among the panelists. 📍Stop by the Siemens Startups booth (Hall 27, Station N107) on April 23 & 24 to explore how Ethon's #IndustrialAI Platform helps manufacturers worldwide achieve their operational excellence goals… or check out our solutions ahead of the fair on the Siemens Xcelerator Marketplace (https://lnkd.in/eX4Wbcxp) #HannoverMesse #HM26 #IndustrialAI #OperationalExcellence #Manufacturing
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EthonAI reposted this
Why do most Agentic AI projects fail in manufacturing? I joined Kudzai Manditereza at the Industry40tv podcast to discuss why general-purpose LLMs aren't enough for the shop floor. To move from "chatbots" to true Decision Intelligence, you need a system that understands cause-and-effect in physical processes. We dive deep into the 3-layer architecture we’re building at EthonAI to make agentic workflows reliable at scale. Thanks for the great conversation, Kudzai! Links in comments! 👇
Data & AI in Manufacturing | Sr. Industry Solutions Advocate @ HiveMQ | Founder @ Industry40.tv
Agentic AI can transform how manufacturers make decisions. But not in the way most people think. The real promise isn't chatbots on the shop floor or copilots summarizing dashboards. It's decision intelligence. AI agents that can investigate a quality failure, trace the root cause across systems, and tell an operator exactly which lever to pull right now for a better outcome. That's the vision. But here's the problem: Most agentic workflows today are built on top of general-purpose LLMs that have no understanding of cause and effect in physical processes. To build agentic workflows that can reliably reason at scale, you need a three-layer architecture: 𝟏. 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐋𝐚𝐲𝐞𝐫 This layer combines streaming data infrastructure (MQTT, Kafka, UNS) with a process knowledge graph that models how your production actually runs. 𝟐. 𝐌𝐨𝐝𝐞𝐥 𝐋𝐚𝐲𝐞𝐫 This is where causal reasoning lives. Purpose-built models that understand time series, respect safety limits, and can trace cause-and-effect chains across your process. 𝟑. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫 This is where the agentic workflows operate. The agent orchestrates by pulling data from the infrastructure layer, calling the right causal model, and reading SOPs and process documentation. Synthesizing everything into a clear, operator-ready recommendation that can be trusted and acted on. When this architecture is in place, agentic AI delivers real decision intelligence. In this episode of the AI in Manufacturing podcast, I speak with Bernhard Kratzwald, Co-Founder and CTO at EthonAI, about building and scaling agentic AI workflows for optimizing cost, quality, and speed in manufacturing operations. Watch/Listen YouTube: https://lnkd.in/dYwfES9g Spotify: https://lnkd.in/dDq2dUXt Apple Podcasts: https://lnkd.in/dgfwGn5P
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What a great day at Siemens Switzerland for its Siemens Xcelerator Partner Day yesterday. With our visual quality inspection already scaling globally across Siemens factories, today’s discussions focused on a vital question: How can we produce faster and smarter while better preserving our resources to make our factories more resilient for the future? As Gerd Scheller, Country CEO Siemens Switzerland, emphasized: "It’s better to act than to react." We are proud that our Industrial AI platform is designed to do exactly that: empower manufacturers to drive this "action". By leveraging Causal AI, we help customers move beyond misleading correlations to "produce more with less." Together with the other Siemens Xcelerator Ecosystem Partners, we explored how a connected ecosystem among us can help us scale these technologies faster to tackle the challenges of our times. Grateful to be part of this ecosystem and big thank you to Siemens for the inspiring discussions. Big potential ahead. https://www.ethon.com/ #SiemensXcelerator #ProduceMoreWithLess #CausalAI #SmartManufacturing #Industry40 #IndustrialAI
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EthonAI reposted this
Why do most Agentic AI projects fail in manufacturing? I joined Kudzai Manditereza at the Industry40tv podcast to discuss why general-purpose LLMs aren't enough for the shop floor. To move from "chatbots" to true Decision Intelligence, you need a system that understands cause-and-effect in physical processes. We dive deep into the 3-layer architecture we’re building at EthonAI to make agentic workflows reliable at scale. Thanks for the great conversation, Kudzai! Links in comments! 👇
Data & AI in Manufacturing | Sr. Industry Solutions Advocate @ HiveMQ | Founder @ Industry40.tv
Agentic AI can transform how manufacturers make decisions. But not in the way most people think. The real promise isn't chatbots on the shop floor or copilots summarizing dashboards. It's decision intelligence. AI agents that can investigate a quality failure, trace the root cause across systems, and tell an operator exactly which lever to pull right now for a better outcome. That's the vision. But here's the problem: Most agentic workflows today are built on top of general-purpose LLMs that have no understanding of cause and effect in physical processes. To build agentic workflows that can reliably reason at scale, you need a three-layer architecture: 𝟏. 𝐃𝐚𝐭𝐚 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐋𝐚𝐲𝐞𝐫 This layer combines streaming data infrastructure (MQTT, Kafka, UNS) with a process knowledge graph that models how your production actually runs. 𝟐. 𝐌𝐨𝐝𝐞𝐥 𝐋𝐚𝐲𝐞𝐫 This is where causal reasoning lives. Purpose-built models that understand time series, respect safety limits, and can trace cause-and-effect chains across your process. 𝟑. 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫 This is where the agentic workflows operate. The agent orchestrates by pulling data from the infrastructure layer, calling the right causal model, and reading SOPs and process documentation. Synthesizing everything into a clear, operator-ready recommendation that can be trusted and acted on. When this architecture is in place, agentic AI delivers real decision intelligence. In this episode of the AI in Manufacturing podcast, I speak with Bernhard Kratzwald, Co-Founder and CTO at EthonAI, about building and scaling agentic AI workflows for optimizing cost, quality, and speed in manufacturing operations. Watch/Listen YouTube: https://lnkd.in/dYwfES9g Spotify: https://lnkd.in/dDq2dUXt Apple Podcasts: https://lnkd.in/dgfwGn5P
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