Medoid AI

Medoid AI’s Financial Summarization model has reached 1.3M+ downloads on Hugging Face. Built to turn complex financial news, reports, and documents into clear, concise summaries, the model continues to gain traction among users working with financial text. At the time of review, it ranked: #4 by downloads #9 by likes in Hugging Face’s Summarization and Text-to-Text Generation category. The base model is available for free on Hugging Face, with an advanced version available on RapidAPI for teams that need production-ready performance at scale. Start with the model. Scale with the API. Hugging Face: https://lnkd.in/gt7mxNm Rapid API: https://lnkd.in/e5NYTQrW #MedoidAI #HuggingFace #RapidAPI #FinancialSummarization 

Many of the organizations we work with have been here before. A first AI engagement that started with real ambition. A capable team. A reasonable timeline. A proposal that made sense on paper. And then, quietly, without any dramatic moment, something did not quite connect. The system worked technically. The business impact was not quite there. The team adapted around it rather than through it. Nobody called it a failure. But nobody called it a success either. What we find in almost every case is the same thing. The gap was not in the model. It was in the questions that were never asked before anything was built. What does the data actually support? Where does this output connect to a real decision? What does success look like when the engagement is over? These are uncomfortable questions to ask early. They slow things down. They surface disagreements that feel easier to defer. And skipping them is exactly what turns a promising pilot into an expensive lesson. The organizations that get AI right the second time do one thing differently. They start earlier, with the clarity that makes everything that follows actually work. At Medoid AI this is where every engagement starts. Learn more at medoid.ai #EnterpriseAI #AIStrategy #AIAdoption #MedoidAI #OrganicAI

AI adoption is fundamentally a people and process challenge. The model can be technically sound and still deliver nothing if the organizational conditions are not in place. This is why the Organic AI Framework starts with a question most projects skip, not just what the data supports, but what can actually work inside real operations and real teams. That question determines whether the system gets used or quietly ignored. The organizations getting AI right treat adoption as a change management decision first. Technology second. At Medoid AI, we understand how the organization works before we think about how the AI should work. Learn more at medoid.ai #EnterpriseAI #AIAdoption #ChangeManagement #OrganicAI #MedoidAI

More often than we expected, we are not the first AI partner an organization has worked with. We are the second. The first engagement usually started well. A competitive price. A fast proposal. Early momentum that felt like progress. Then the gaps appeared. A model that worked in testing but stalled in production. A team that was never included in the design. Outputs that nobody quite knew what to do with because ownership was never defined. Objectives that were clear at the start and somehow did not survive contact with the real operation. By the time the organization realized something was wrong, the budget was spent. The timeline had slipped. And the internal appetite for AI had taken a hit that took months to recover from. This is not a story about bad vendors. Most of the partners organizations work with before us are capable. The issue is almost never competence. It is alignment, between the solution and the operation, between what was delivered and the decision it was supposed to support. The hidden costs of a misaligned AI engagement are real. Not just in money, in time, in rework, in the organizational trust that is hardest to rebuild. We have learned that the right questions asked before anything is built are worth more than the best model built on the wrong foundation. At Medoid AI this is where every engagement starts. Learn more at medoid.ai #EnterpriseAI #AIStrategy #AIAdoption #MedoidAI #OrganicAI

Choosing the right AI partner goes beyond comparing features or watching demos. The most successful AI deployments happen when systems are designed around real operational needs, from data quality and workflow integration to transparency and long-term usability. At Medoid AI, we believe better outcomes start with better evaluation questions. Here are a few practical questions organizations should ask before moving forward with any AI initiative. Contact us to learn more. #AI #EnterpriseAI #ArtificialIntelligence #DigitalTransformation #MachineLearning #AIInnovation

Some of the most impressive AI systems we have seen in demos never made it to production. Some of the simplest ones are still running years later. Complexity signals capability. But a sophisticated model that does not fit the operation, its data, its workflows, its team, will consistently underperform a simpler one that does. This is something the Organic AI Framework is built around. Before anything is designed, we ask whether the solution can genuinely work inside real operations and real teams. That question shapes everything. Maintainability matters. Interpretability matters. The best model is not the most impressive one. It is the one that works reliably inside your reality. At Medoid AI, this is the principle we come back to on every project. Learn more at medoid.ai #EnterpriseAI #AIStrategy #OrganicAI #MedoidAI #aiadoption #aiforbusiness #ai

AIF 2026. That is a wrap. Last week we joined the Aristotle Innovation Forum in Thessaloniki, and we are glad we did. Great conversations around AI, ethics, and innovation. The harder questions that do not always make it into conference decks but absolutely should. The theme, "Aristotle Meets AI", turned out to be more than a catchy title. It framed exactly the kind of thinking the industry needs more of right now. Thank you to everyone who stopped to talk. And thank you to the Aristotle Innovation Forum for bringing the right people into the same room. Until next time. #AIF2026 #AristotleMeetsAI #MedoidAI #EnterpriseAI #Thessaloniki

In the Age of AI we witness a rapid increase in the frequency and volume of cyber attacks, while the defenders try to adapt to these developments through adopting advanced AI-based tools for the detection and response to cyber incidents. I am honoured to moderate a panel discussion in the Aristotle Innovation Forum under the title "Cybersecurity in the Age of AI", with prominent speakers from the academia, the industry and the national security sectors. - Mrs Hannah-Sophie Weber, Research and Project Officer at Virtual Routes, UK - Prof. Grigorios Tsoumakas, Professor on Machine Learning, School of Informatics, Aristotle University of Thessaloniki - Prof. Andreas Symeonidis, Professor on Software Security/Software Engineering, Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki - Brigadier General Grigorios K. Gkoutzelis, Director of the Cyber Defense Directorate of the General Staff of National Defense. - Mr. Kostas Georgakopoulos, Chief Information Security Officer (CISO) at Pfizer. - Mr. Petros Vassilikos, Cybersecurity Consultant, CBS.LAN Security Operations Center Don't miss this revealing discussion on the new threats and automated defenses, and the forthcoming changes in governance, regulation, policy and compliance aspects of the new landscape in cybersecurity. 📅 Thursday, May 21st 🕒 15:00 📍 Pavilion 15, Thessaloniki International Fair (TIF) We look forward to seeing you there! #cybersecurity #AristotleInnovationForum #AIF2026 #AUTh #AI

The Aristotle Innovation Forum brings together some of the sharpest minds at the intersection of academia and enterprise AI. We are glad to be part of the conversation this Wednesday in Thessaloniki. This year's theme, "Aristotle Meets AI", explores how human reasoning and ethical clarity integrate with cutting-edge technology. It is a discussion that feels increasingly relevant to the everyday work we do. Looking forward to the ideas and the people. #AIF2026 #AristotleInnovationForum #AristotleMeetsAI #MedoidAI #EnterpriseAI #Thessaloniki

Pharmaceutical organizations have spent the last decade building something genuinely valuable, connected data environments that bring together trial data, literature, and real-world evidence in ways that were not possible before. That foundation is real. The next question is what happens on top of it. The gap between having the data and acting on it at the speed the pipeline actually demands is still wider than it needs to be in most organizations. Insights that arrive too late to influence the next stage. Connections across literature that exist but there is no efficient process in place to surface them. Signals that are there, just not moving fast enough to matter. This is not a failure of investment. It is the natural next problem that emerges once the data layer is strong. And it is the one that purpose-built AI is well positioned to close. At Medoid AI, we build AI systems across the R&D pipeline, designed around the decisions that happen between discovery and market, not around the data that sits behind them. If your foundation is solid but your decision speed has not kept pace, that gap is worth looking at. Talk to Medoid AI about custom, purpose-built AI. #Pharma #DrugDiscovery #ClinicalTrials #PharmaAI #MedoidAI