Vertesia

For decades, enterprise content management (ECM) has been treated like a massive, expensive filing cabinet. We poured millions into: ❌ Multi-year vendor negotiations ❌ Complex migrations and custom code ❌ Endlessly begging teams to stop emailing documents and use the system The reality? Most organizations spent their entire budget just getting content into a "black box" where it sat isolated, unsearchable, and underutilized. But the paradigm has shifted. As Keith Schlosser highlights in his latest piece for DOCUMENT Strategy Media, AI-native content intelligence platforms are completely leveling the playing field. Unlike legacy ECM platforms with AI simply "bolted on," true AI-native architectures: 💡 Extract intelligence, don’t just store files – turning unstructured data into an engine for AI agents. 🔍 Enable natural language search – replacing rigid keyword schemas. 🏷️ Automate metadata enrichment – freeing teams from manual taxonomy tagging. 💰 Cut infrastructure waste – ensuring organizations only pay for the capacity they actually use. It’s time to stop paying passive storage maintenance costs and start activating your organization's collective knowledge. Read the full article to discover what true content liberation looks like for IT teams: 👉 https://hubs.ly/Q04pRMvJ0 #CIO #EnterpriseAI #ContentManagement #DigitalTransformation #InformationArchitecture #ITStrategy

🧩 A bigger AI model doesn’t always mean better business results. When enterprises deploy AI, the default instinct is often to reach for the largest, most expensive system on the market. But treating every routine business task like a job for the most complex model is an easy way to inflate your cloud budget. At Vertesia, we're putting an end to the AI guessing game. Different business processes require different tools. A smaller, more agile model is often superior for quick data formatting, while multi-step document analysis demands a heavier, more sophisticated system. The Vertesia platform dynamically handles this backend orchestration for you. Based on your team's specific task, the system intelligently routes workflows to the most efficient model, including: 📊 Data preparation & cleaning 📄 Deep document analysis 🗃️ Spreadsheet manipulation 🤖 Supporting autonomous agents You don't need to manually evaluate different systems or shoulder the burden of backend complexity. Your team focuses on achieving business outcomes, and Vertesia manages the routing. It's a practical, powerful approach to enterprise automation. #AIOrchestration #EnterpriseAI #TechEfficiency #Vertesia #CloudOptimization #FutureOfWork

🏎️ When you drive to work, you don’t build the car from scratch first. So why are businesses still trying to build their AI solutions that way? Spending months of engineering time constructing custom AI infrastructure from the ground up wastes valuable enterprise resources. Your team’s time is better spent solving the business problems that are unique to your organization. At Vertesia, we provide the vehicle so you can just focus on the destination. By utilizing Vertesia’s low-code platform, companies can build and deploy enterprise-grade AI solutions quickly. We provide the essential foundation—including security, governance, and scalability—right out of the box. The result? Vertesia empowers teams to: - Work Smarter: Pivot from infrastructure building to application problem-solving. - Reduce Complexity: Deploy dependable tools without handling dense backend code. - Accelerate Timelines: Move from initial AI concepts to full production readiness in a matter of weeks, not months. #EnterpriseAI #LowCodePlatform #Productivity #Vertesia #AIStrategy #TechDeployment

Proud to partner with Prime Force Group and bring innovative solutions to the insurance industry ⭐

The pitch says "Agent." What does your tech stack actually prove? 🤔 Open up any enterprise software site this week and everything is suddenly "agentic." CRM, expense reporting, content management - everyone has caught the bug. But behind the slick marketing slides, we are facing a massive wave of "agent-washing." For 30 years, legacy content platforms promised automatic classification and deep data findability, only to hand the actual work of understanding that content right back to humans. Now, AI gives us the power to change that. But instead of rewriting the rules, many legacy vendors are just putting a fresh coat of paint on a crumbling foundation. How do you tell the difference between marketing spectacle and substance? You stop looking at the pitch decks and start reading the API. If a platform doesn’t expose a true reasoning loop—where an AI can inspect state, call tools, adapt, and leave a clear trail of its "run" - it’s not an agentic platform. It’s a glorified chatbot. To truly unlock AI for enterprise content, we have to rethink the core software building blocks from first principles: 🔹 Our Primitives: Moving past files and folders into dynamic context layers. 🔹 Our Repository: Evolving from simple file stores into systems that preserve document layout, tables, and relationships for AI to read. 🔹 Our Process Engine: Shifting from rigid, human-drawn workflow graphs to fluid runtimes where agents and humans can collaborate safely. The content industry finally has the machine it always wanted. Let’s not spend this moment slapping new paint on. 👇 Check out our latest blog post to learn more: The Pitch Says Agent. What Does the Tech Actually Prove? https://hubs.la/Q04n4cR80 #AI #EnterpriseSoftware #EnterpriseContentManagement #AIAgents #TechArchitecture #Vertesia

Are today’s AI models truly "thinking"? Or are we confusing fast pattern-matching with deep reasoning? In a recent piece for VKTR, our CEO Eric Barroca dives into the critical distinction between what AI can do right now and what it truly needs to achieve next-level problem solving: Macroreasoning. While modern large language models excel at processing vast amounts of data and executing micro-tasks, they still struggle with the long-term, multi-step strategic planning required for true macroreasoning. Understanding this gap is essential for businesses looking to build resilient, AI-driven operations. As Eric writes: "Macroreasoning isn't yet here for AI thinking." Read the full article to see where the frontier of AI reasoning stands today and what it means for the future of enterprise technology. 👇 🔗 https://hubs.la/Q04mjJXn0 #ArtificialIntelligence #TechLeadership #Macroreasoning #FutureOfWork #Vertesia #EnterpriseAI

✈️ Would you fly on an airplane without a flight recorder? Probably not. So why are so many enterprises running AI systems without one? If your team can't trace exactly how an AI model reached a specific decision, conclusion, or action, you can't fully trust it. And in business, blind trust is a liability. That’s where AI observability comes in. At Vertesia, we believe transparency isn't just a nice-to-have feature - it’s the foundation of dependable enterprise AI. Our platform acts as a flight recorder for your AI workflows, allowing your teams to seamlessly: - Understand exactly how models make decisions. - Monitor performance metrics in real-time. - Troubleshoot and isolate errors when something goes wrong. When you bring clear visibility to your AI, your entire system becomes safer, more accountable, and easier to scale. It’s the difference between an AI system that feels like an unpredictable experiment, and one you can confidently deploy to production. #TechLeadership #AIinnovation #ArtificialIntelligence

Big news! 🚀 Global licensed apparel leader Mad Engine is partnering with Vertesia to bring agentic AI into their creative operations. Handling a massive volume of licensed IP for the world’s most recognizable brands requires incredible speed, precision, and strict brand compliance. By deploying Vertesia as their centralized AI hub, Mad Engine is moving beyond point solutions and operating as a true agentic organization. The results? 🔹 Automated asset ingestion & deeply enriched metadata 🔹 Natural language & reverse image search to eliminate duplicate work 🔹 Faster navigation of complex brand compliance 🔹 Dramatically accelerated speed-to-market As Gary Gaffney, EVP of Technology & Systems at Mad Engine, puts it: "It’s like building a skyscraper one floor at a time: each phase delivers value on its own, but it also strengthens the foundation for everything that comes next." We are proud to partner with and empower Mad Engine and their creative teams Read the full story here: https://hubs.la/Q04ms0qJ0 #EnterpriseAI #AgenticAI #CreativeOperations #DigitalAssetManagement #Automation #Vertesia