Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, has unveiled the Real-Time Context Engine, a fully managed service powered by the Model Context Protocol (MCP), designed to deliver fresh, structured, and accurate contextual data to AI agents, copilots, and large language model (LLM)-driven applications in real time. The announcement was made at a technology event in New Orleans. “AI is only as good as its context,” said Sean Falconer, Head of AI at Confluent. “Enterprises possess vast amounts of data, but it’s often outdated, siloed, or trapped in formats that AI systems can’t effectively use. The Real-Time Context Engine solves this by unifying data processing, reprocessing, and delivery, transforming continuous data streams into live, actionable context that enables smarter, faster, and more reliable AI decisions.” While open standards like MCP have simplified the integration of enterprise data with AI systems, they often expose raw, fragmented, and inconsistent data. Traditional data lake batch pipelines add delays and complexity, resulting in AI models that react to historical data rather than current realities. The Real-Time Context Engine addresses this gap by providing a unified architecture that continuously processes and serves trustworthy, up-to-date context—enabling AI to understand the present and act accordingly. According to IDC’s FutureScape: Worldwide Data and Analytics 2025 Predictions, “As AI-powered automated agents, assistants, and advisors become more prevalent in organizations, curated, secure, compliant, and contextually rich data will be a critical success factor in achieving trusted and reliable outcomes.” The Real-Time Context Engine is now available in Early Access. Developers can leverage Confluent’s full data streaming platform to manage their infrastructure and rapidly unlock reliable context for AI agents and applications across any environment. With this service, teams can: - Deliver real-time, structured context to AI agents and applications. - Ensure data accuracy, consistency, and governance across systems. - Maintain security and compliance while enabling seamless data flow. - Scale effortlessly across hybrid and multi-cloud environments. Confluent also announced two additional offerings: Streaming Agents and Confluent Private Cloud. These additions expand the company’s ecosystem for building intelligent, real-time data-driven applications. Confluent is the data streaming platform that is redefining data infrastructure by treating data as a continuous flow. Its cloud-native platform serves as the intelligent connective tissue for organizations, enabling real-time data movement across systems to power modern digital experiences and backend operations. The platform helps companies meet the growing demand for real-time insights and automation. For more information, visit confluent.io. Note: Product roadmaps may change. Features mentioned may be delayed or not delivered. This content is not a commitment to deliver specific functionality. Customers should base purchasing decisions on currently available features. Confluent® and related marks are trademarks or registered trademarks of Confluent, Inc.