Real-Time Context Engine delivers fresh contextual data to any AI agent or application with security, governance, and observability

Confluent, Inc. (Nasdaq:CFLT), the data streaming pioneer, today announced Real-Time Context Engine, a fully managed service using Model Context Protocol (MCP). The service delivers real-time, structured data and accurate, relevant context to any artificial intelligence (AI) agent, copilot, or large language model (LLM)-powered application.

“AI is only as good as its context,” said Sean Falconer, Head of AI at Confluent. “Enterprises have the data, but it’s often stale, fragmented, or locked in formats that AI can’t use effectively. Real-Time Context Engine solves this by unifying data processing, reprocessing, and serving, turning continuous data streams into live context for smarter, faster, and more reliable AI decisions.”

Open standards like MCP have made it easier to connect enterprise data to AI agents and applications, but they only solve part of the problem. The data it exposes often remains raw, fragmented, and inconsistent while data lake batch processing pipelines add layers of complexity and delay. The result is AI that reacts to the past with no understanding of the present. What’s needed is an architecture that unifies both, continuously processing and serving accurate, trustworthy context so AI can make reliable and trustworthy decisions.

“As AI-powered automated agents, assistants, and advisors begin to be used in organizations, curated, secured, compliant, and contextual data will be a key success factor in ensuring trusted outcomes," states the IDC FutureScape: Worldwide Data and Analytics 2025 Predictions.

Real-Time Context Engine: Delivering Instant Intelligence to AI Agents and Apps

Real-Time Context Engine is a fully managed service that uses MCP to quickly deliver structured, real-time context to any agent or application. With Real-Time Context Engine, developers can use Confluent’s complete data streaming platform to manage their data infrastructure and quickly unlock trustworthy context for all their AI agents and applications anywhere.

With Real-Time Context Engine, teams can:

• Access real-time data that matters. Stream accurate, continuously updated context into AI systems, ensuring that every decision and response reflects the current state of the business.
• Trust and control data with governance and logging. Full auditability and visibility into every request helps teams ensure compliance, maintain transparency, and scale AI with confidence.
• Understand using metadata. Deliver context that helps AI systems understand not just the data itself but what it means, driving more accurate reasoning and smarter outcomes.

Real-Time Context Engine is available in Early Access. Sign up to try it here.

Additional Info and Other Confluent News

Confluent also announced Streaming Agents and Confluent Private Cloud. Check out the press releases to learn more.

About Confluent

Confluent is the data streaming platform that is pioneering a fundamentally new category of data infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion—designed to be the intelligent connective tissue enabling real-time data from multiple sources to constantly stream across an organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital frontend customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit confluent.io.

As our roadmap may change in the future, the features referred to here may change, may not be delivered on time, or may not be delivered at all. This information is not a commitment to deliver any functionality, and customers should make their purchasing decisions based on features that are currently available.

Confluent® and associated marks are trademarks or registered trademarks of Confluent, Inc.

View source version on businesswire.com: https://www.businesswire.com/news/home/20251029415908/en/