Oraion

The market is finally waking up. For years companies spent billions building data warehouses, dashboards, and endless software layers. Then AI showed up and exposed a hard truth: If your data is messy and AI lacks business context, none of it matters. AI doesn’t magically fix bad data. It amplifies it. That’s why you’re now seeing the biggest names in enterprise technology — SAP, Microsoft, Databricks and others — racing to partner with companies that solve the data foundation problem first. The realization hit: AI isn’t the product. Clean, trusted, contextualized data is. The problem is many of these companies made the wrong bet. They built tools around storage. Around infrastructure. Around adding another dashboard or another layer of complexity. Oraion built around outcomes. We already automated the process of sitting on petabytes of structured and unstructured data, cleaning it, validating it, making it trustworthy, and adding the business context AI actually needs to make decisions. While others are trying to retrofit old software for an AI world, Oraion was built for the AI world from day one. The scramble has started. Wake up. Pour your coffee. Open Oraion. Run your business. #AI #EnterpriseAI #Data #Innovation #Oraion #FutureOfWork

Join us at the Foundry, Google Ireland HQ, for our annual showcase of Ireland's most exciting Startups & Scaleups! Oisín O'Flaherty and I are delighted to share the full agenda for our upcoming Google Ireland Startup Day on May 27th. We are thrilled to welcome founders, builders, and investors from across the Irish ecosystem. We have an incredible lineup of speakers ready to share deep insights on everything from the latest in Google AI to scaling infrastructure and securing investment. Oisín O'Flaherty will kick things off everything you need to know from our latest announcements at Google I/O this week. I'll be covering everything you need to know get started with Google for Startups. Stephen Tully from BVP Investments will be leading an EIIS Session on Investment Insights in Ireland Ellie Good and Justin Slade from Oraion will be sitting down with Keith Johnston from Zazmic Inc discussing their Infrastructure Evolution with Google Cloud. A special highlight will be our Founder Focus Panel Discussion, where we’ll dive into the journey of building and raising in Ireland with: 🌊 Sean Mullaney, Founder & CEO of Seapoint 🦷 Portia Healy O’ Connor, Founder of Linda AI ♻ Mark Kirwan, CEO of Positive Carbon 🪄 Joseph Smyth, CTO & Co-Founder of Joulica Finally, our very own Niall McDonagh Director of Public Sector for Google Cloud EMEA will deliver the Closing Remarks before wrapping up for a networking session from 4-6pm. Registrations close tomorrow! Don't miss out on a fantastic day of learning and networking. 📍 Location: The Foundry, Google, Dublin 📅 Date: May 27th, 2026 🔗 Secure your spot here: https://lnkd.in/eNUSUrxP We can't wait to welcome you! #GoogleStartupDay #IrishStartups #GoogleForStartups #GoogleCloud #LifeAtGoogle

Proud to see Oraion listed as one of the top promising companies out of Ireland! We are just getting started

Everyone is racing to apply AI across their business. But whether you’re running investment banking workflows, healthcare systems, or next-generation industrial technology, the same problem keeps showing up: AI is only as good as the data feeding it. Take a company building advanced industrial systems. You can have massive amounts of machine telemetry, sensor outputs, operating metrics, maintenance records, engineering specifications, and historical performance data. But if that data is spread across dozens of systems, inconsistently defined, duplicated, or lacks business context, AI becomes another dashboard with unreliable answers. This is where Oraion changes the equation. Oraion doesn’t just move data. It creates structure, context, and trust around the data itself. Imagine an industrial company trying to answer: * Which equipment is likely to fail? * Which operating conditions maximize output? * Where are we wasting energy? * What patterns are hidden across years of operational history? The challenge isn’t AI. The challenge is turning raw data into intelligence. The companies that win the AI race won’t necessarily be the companies with the most AI tools. They’ll be the companies with the cleanest data, the strongest context layer, and the ability to operationalize decisions at scale. Data → Context → Intelligence → Action Oraion

Oraion was delighted to take the stage at SPIW to share a simple truth: every enterprise agent is only as good as the data behind it. Governed, AI-ready data is the foundation every enterprise needs before AI can move from experimentation to production. A big thank you to Enterprise Ireland for their continued partnership and support in helping Irish technology companies expand globally. It was a pleasure to connect with so many business and technology leaders and discuss how agentic AI is transforming the way enterprises access insights, make decisions and automate complex work. Rodrigo Stoqui Daniela Tunchel Alexander Walsh Derek Lowry Silvia Helena Di Tullio Lopes Eoghan O'Briain #AgenticAI #EnterpriseAI #ArtificialIntelligence #DataGovernance #AIReadyData #EnterpriseData #Innovation #SPIW #SaoPauloInnovationWeek #EnterpriseIreland #Oraion

Most enterprises are sitting on petabytes of raw structured and unstructured data. CRMs. PDFs. Emails. Call transcripts. Research notes. Spreadsheets. ERP systems. Vendor platforms. Data lakes full of duplicates, inaccuracies, and conflicting definitions. At the same time, leadership is saying: “We need AI adoption.” “We need it enterprise-wide.” “We need it now.” The problem? AI is only as good as the data underneath it. Without Oraion, moving at the speed leadership expects becomes nearly impossible. Why? Because before AI can generate value, someone has to: * structure the data * validate the information * eliminate duplicates * unify definitions * apply business context * and make the data operational in real time That process normally takes enterprises months or years. Oraion changes that. Oraion sits on top of petabytes of inaccurate enterprise data and within days takes it from Bronze → Silver. Meaning: * structured and unstructured data is organized correctly * inaccurate records are identified * duplicates are eliminated * relationships are mapped * and the data becomes trusted and usable Then we work with the business to define enterprise rules and operational context to move the data from Silver → Gold. Gold data means: * real-time decision making * trusted AI outputs * operational automation * and enterprise-wide alignment across teams This is the layer most companies are missing. Claude and OpenAI are powerful models. But they are not enterprise data operationalization platforms. They don’t understand your fragmented systems, internal definitions, governance structures, or decades of organizational complexity out of the box. That’s why the market is shifting so aggressively toward enterprise AI infrastructure. And it’s a big reason for Oraion’s growth over the last year. Oraion Alexander Walsh Derek Lowry Ellie Good Taylor Jette Dominic Lovric

Most enterprises are sitting on petabytes of raw structured and unstructured data. CRMs. PDFs. Emails. Call transcripts. Research notes. Spreadsheets. ERP systems. Vendor platforms. Data lakes full of duplicates, inaccuracies, and conflicting definitions. At the same time, leadership is saying: “We need AI adoption.” “We need it enterprise-wide.” “We need it now.” The problem? AI is only as good as the data underneath it. Without Oraion, moving at the speed leadership expects becomes nearly impossible. Why? Because before AI can generate value, someone has to: * structure the data * validate the information * eliminate duplicates * unify definitions * apply business context * and make the data operational in real time That process normally takes enterprises months or years. Oraion changes that. Oraion sits on top of petabytes of inaccurate enterprise data and within days takes it from Bronze → Silver. Meaning: * structured and unstructured data is organized correctly * inaccurate records are identified * duplicates are eliminated * relationships are mapped * and the data becomes trusted and usable Then we work with the business to define enterprise rules and operational context to move the data from Silver → Gold. Gold data means: * real-time decision making * trusted AI outputs * operational automation * and enterprise-wide alignment across teams This is the layer most companies are missing. Claude and OpenAI are powerful models. But they are not enterprise data operationalization platforms. They don’t understand your fragmented systems, internal definitions, governance structures, or decades of organizational complexity out of the box. That’s why the market is shifting so aggressively toward enterprise AI infrastructure. And it’s a big reason for Oraion’s growth over the last year. Oraion Alexander Walsh Derek Lowry Ellie Good Taylor Jette Dominic Lovric

🚀 Oraion is at the AI Hot 100 Summit We’re in New York today and tomorrow connecting with leaders shaping the future of AI. Oraion is building the governed data foundation that makes enterprise AI trustworthy. If you’re attending, come meet us! 📍 Civic Hall, New York 📅 May 6–7 Colin Barnett Taylor Jette Alexander Walsh Derek Lowry

Day 2! One of the biggest takeaways from the AI Hot 100 Summit in NYC today came during the “Responsible vs Fast AI” panel. Laura Gebhardt, VP of Data & AI Strategy at Mastercard: “When teams come to us and can clearly explain the models and data sources, we can trust them. When they can’t, everything slows down.” That is the challenge every enterprise is facing right now. Business teams are pushing: “We need to move faster with AI.” Meanwhile data teams are saying: “We need to understand where the data came from, how it was cleaned, governed, and what models are being trained on.” Speed without trust creates risk. Governance without speed creates bottlenecks. The companies that win will be the ones that can do both: Move fast AND have complete confidence in their data. AI readiness starts long before the model. It starts with clean, trusted, governed data. Oraion