Data streaming leader Confluent has announced Confluent Intelligence, a new suite of services designed to provide the fastest path to building and powering context-rich, real-time artificial intelligence (AI). This fully managed platform, built on Confluent Cloud, enables organizations to launch and scale event-driven AI systems by continuously streaming and processing both historic and real-time data. This delivers critical, trustworthy context directly into AI applications, establishing more reliable, secure, and scalable AI workloads grounded in dynamic data.
Confluent launched Confluent Intelligence, a fully managed platform to solve the "AI context gap" and build real-time AI systems.
It addresses the high failure rate of GenAI initiatives by providing a continuous flow of structured, real-time, and historical data.
The platform's Real-Time Context Engine streams trustworthy data to any AI agent or application via APIs.
New Streaming Agents allow for building and orchestrating event-driven AI natively on Apache Flink.
Built-in ML functions in Flink SQL simplify complex data science tasks like anomaly detection and forecasting.
A deepened collaboration with Anthropic makes Claude the default LLM within the Streaming Agents service.
Enterprises are investing billions into generative AI, yet a vast majority of initiatives fail to deliver a return. The primary hurdle identified is a lack of context—a complete understanding of events, relationships, and meaning that pre-trained models require to reason effectively. Moving beyond simple chatbots to production-level AI agents demands an infrastructure that can continuously stream data to evaluate the past, adapt to the present, and serve information to applications without delay. Previously, no single offering delivered these capabilities, leading to complex and fragmented workflows.
Confluent Intelligence is a fully managed service built on Apache Kafka and Apache Flink, providing a complete foundation for real-time, context-rich AI. With built-in governance, low-latency performance, and full replayability, it is designed to accelerate AI use cases from proof of concept to production. The platform's key capabilities are engineered to work together seamlessly.
This fully managed service streams structured, trustworthy context to any AI agent or application, whether built on Kafka and Flink or integrated externally. The Real-Time Context Engine allows teams to accelerate AI initiatives by accessing reliable data in one place without managing backend infrastructure. It is currently available in Early Access.
This feature enables teams to build, deploy, and orchestrate event-driven agents natively on Flink. It unifies data processing and AI reasoning, creating agents that can observe, decide, and act in real time without constant manual input. By integrating agentic AI into stream processing pipelines, it facilitates intelligent, context-aware automation across the enterprise and is available in Open Preview.
These functions simplify complex data science tasks directly within Flink SQL. Teams can perform anomaly detection, forecasting, model inference, and real-time visualization to gain actionable insights for smarter, faster decision-making. These ML functions are now in General Availability on Confluent Cloud.
To further power agentic AI, Confluent is deepening its collaboration with Anthropic. Claude, Anthropic's large language model, will be the default LLM on the Streaming Agents service and natively integrated into Confluent's platform. This combination of advanced reasoning models and a real-time data foundation allows enterprises to build adaptive AI systems for advanced use cases like prioritized anomaly detection and real-time personalization.
Confluent Intelligence represents a significant step towards making enterprise-grade, context-aware AI a practical reality. By providing a unified platform that handles the entire data-in-motion lifecycle for AI, it directly addresses the core infrastructural challenges that have hampered ROI on AI investments, enabling businesses to build intelligent systems that are truly informed by their own real-time operations.
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.