Today is a special day for me and the entire team at CTERA. For more than a decade, we’ve focused on a single mission: building what we believe is the most secure, efficient, and powerful global file system. It’s been a long journey defined by our dedication to redefining what enterprise data management truly means.
But today, we’re entering a new chapter—one that transforms how organizations use and understand their data. Through countless conversations with customers and partners, we identified a key issue holding back the enterprise AI revolution, and we’re ready to solve it.
Generative AI has captivated the world with its creativity and efficiency. I’ve seen firsthand how it can generate insights, enhance decision-making, and become an invaluable asset for problem-solving. But despite the promise, I was surprised to see that far too many enterprise AI projects struggle to move beyond the POC stage. This puzzled me—how could such a transformative technology stumble in its adoption by enterprises?
We discovered the problem wasn’t with AI itself – it was with the data. Enterprise data, the lifeblood of AI projects, simply wasn’t ready. It was scattered across outdated systems – at the edge or in the cloud – or locked behind complex governance rules. Companies struggled to leverage their unstructured data because it was fragmented and poorly integrated.
Most AI models today are starving for context. They don’t have access to the real-time data that reflects the full spectrum of an organization’s data estate. Even when data is centralized, companies remain concerned about data leakage, exposure of sensitive information, and compliance violations.
We knew we had to help. So, we built something that could break down these barriers once and for all. And today, I’m incredibly proud to introduce CTERA Data Intelligence.
It’s an infrastructure that transforms your live, unstructured data into a semantically indexed knowledge base, available on-demand for your AI models. You can seamlessly connect your distributed file storage to any AI system – cloud, on-premises, or hybrid – while maintaining the rigorous data privacy and security standards that CTERA is known for.
Our new system incorporates a semantic Retrieval-Augmented Generation (RAG) engine that continuously updates its knowledge base with live data, ensuring your AI models can access the most current and context-rich information. This means insights are always timely and relevant, giving your AI real-time visibility into your organization’s data without compromising security.
We’ve built this platform with enterprise-grade security at its core. CTERA Data Intelligence enforces identity-based access controls, ensuring that AI data visibility is restricted according to existing permissions. If a user doesn’t have access to a file, neither does their AI assistant—no exceptions.
The platform also supports fully private, on-premises deployments, allowing organizations to keep their data and AI models entirely within their infrastructure without relying on external vendors.
We’re delivering AI that truly understands your business. Whether you’re using OpenAI, Microsoft Copilot, or any other AI service, CTERA Data Intelligence feeds your models the context they need to perform effectively.
Today is just the beginning. We’ve seen what’s possible when data is unleashed, and AI is equipped with the context it needs to perform at its best. We’re committed to pushing these boundaries further, helping our customers embrace the power of generative AI.
Because the future of AI isn’t about more data – it’s about better data. With CTERA Data Intelligence, we’re making that future a reality.
