Confluent, Inc., the pioneer in data streaming, has launched Confluent Intelligence, a groundbreaking solution designed to accelerate the development and deployment of context-rich, real-time artificial intelligence (AI) systems. Built on Confluent Cloud, this new platform offers enterprises a complete, fully managed stack to continuously stream and process both historic and real-time data. As a result, it delivers reliable, secure, and scalable data directly to AI applications, ensuring that businesses can build intelligent systems grounded in trustworthy, dynamic information.

Atilio Ranzuglia, Head of Data and AI at Palmerston North City Council, emphasized the value of Confluent’s technology, saying, “Good AI needs good data. Confluent is our trusted source of truth, streaming high-quality data to our data lakes and AI platforms to train models in real time. It provides context and orchestration for our agents to automate workflows, accelerating our smart city transformation.”

AI Authority Trend: Confluent Launches Streaming Agents to Power Real-Time AI Innovation

According to MIT’s The State of AI in Business 2025 report, enterprises are investing between $30–$40 billion in generative AI (GenAI), yet 95% of these initiatives fail to generate a meaningful return. The biggest challenge lies in context the comprehensive understanding of events, relationships, and meanings that off-the-shelf models need for effective reasoning. To overcome this, businesses must adopt infrastructure capable of continuously streaming and processing data to interpret past events, adapt in real time, and feed actionable insights directly into AI systems. Without this ongoing cycle of evaluation and adaptation, most AI efforts remain limited to basic chatbots rather than achieving full production-level intelligence. Until now, no single solution in the market has delivered all these capabilities, resulting in fragmented and inefficient AI workflows.

Jay Kreps, Co-founder and CEO of Confluent, explained, “We started Confluent to take on one of the hardest problems in data: helping information move freely across a business so companies can act in real time. That same foundation uniquely positions Confluent to close the AI context gap. Off-the-shelf models are powerful, but without the continuous flow of data, they can’t deliver decisions that are timely and uniquely valuable to a business. That’s where data streaming becomes essential.”

Confluent Intelligence: Driving the Future of Real-Time AI

Confluent Intelligence leverages Apache Kafka and Apache Flink to provide an end-to-end managed service for real-time, context-aware AI systems. It empowers organizations to launch and scale AI agents and applications seamlessly with built-in governance, low-latency performance, and full replayability. Its major components include:

  • Real-Time Context Engine (Early Access): Streams structured, reliable data directly to AI agents or applications, enabling fast access to trustworthy context without the need to manage backend infrastructure.
  • Streaming Agents (Open Preview): Allows developers to build, deploy, and orchestrate event-driven agents natively on Flink. These agents can autonomously observe, decide, and act in real time, enabling intelligent automation across enterprises.
  • Built-in Machine Learning Functions (General Availability): Offers tools for anomaly detection, forecasting, model inference, and real-time visualization directly within Flink SQL, helping teams make data-driven decisions faster.

AI Authority Trend: 90 Percent of IT Leaders Say Data Streaming Fuels AI Innovation – Confluent Report

Nithin Prasad, Senior Engineering Manager at GEP, stated, “AI-powered procurement and supply chain use cases are at the core of what GEP does. Confluent helps make them possible by providing a data streaming platform that fuels our models with real-time streaming data and eliminates fear of data loss.”

Confluent Expands Collaboration with Anthropic

Further strengthening its AI ecosystem, Confluent announced a deeper collaboration with Anthropic. The company will integrate Claude, Anthropic’s large language model (LLM), as the default AI model within its Streaming Agents. By combining Anthropic’s advanced reasoning capabilities with Confluent’s real-time data foundation, enterprises can now build adaptive, context-rich AI systems that enable sophisticated use cases such as real-time anomaly detection and hyper-personalized customer experiences.

In essence, Confluent Intelligence marks a major leap forward in bringing dynamic, real-time data into the heart of enterprise AI, enabling organizations to transform static models into intelligent, decision-making systems that continuously learn and evolve.

AI Authority Trend: Confluent Merges Batch and Stream Processing for Smarter Agentic AI

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