---
source_url: "https://www.confluent.io/product/confluent-intelligence/?utm_source=openai"
title: "Confluent Intelligence: Real-Time AI With Apache Kafka® and Apache Flink®"
mirrored_at: 2026-08-24T01:01:42.800Z
host: www.confluent.io
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mirror_canonical: "https://index.42a.ai/www.confluent.io/product/confluent-intelligence/index__q__utm_source_openai"
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> **Original source:** https://www.confluent.io/product/confluent-intelligence/?utm_source=openai

[Capabilities](#capabilities)[Use Cases](#use-cases)[Customer Stories](#customer-stories)[FAQs](#faqs)

Build event-driven agents designed for speed and scale

Empower agents with real-time context for optimal decisions

Accelerate accurate decision-making with native ML functions

**Confluent Intelligence** is a fully managed service on Confluent Cloud for building real-time, replayable, context-rich AI systems powered by Kafka and Flink. AI systems built on LLMs must be grounded in real data and serve live decisions in production. Confluent Intelligence closes that loop, combining historical evaluation, continuous processing, and real-time serving with:

-   **[AI/ML Functions](https://www.confluent.io/product/ai-ml-functions/)** for anomaly detection, fraud prevention, forecasting, and more
-   **[Streaming Agents](https://www.confluent.io/product/streaming-agents/)** which run natively on Kafka and Flink to automate workflows
-   **[Real-Time Context Engine](https://www.confluent.io/product/real-time-context-engine/)** to serve trustworthy, structured context to any AI app or agent via MCP

Because Confluent Intelligence is powered by the data streaming platform, it uses the same real-time, governed data that feeds your business to power your AI—delivering secure, contextual, and production-ready intelligence at any scale.

![Current London 2026 app icon](https://images.ctfassets.net/8vofjvai1hpv/7othhcUeaAxdFtxQ1aQKdI/8c7f4a4b0434a8a28c79e42773784666/Current_London_app_icon.png?w=100&h=100&q=100&fm=png&bg=transparent)

Real-Time Context Engine Is Now Generally Available

Confluent’s vision for streaming + AI, powered by Real-Time Context Engine

[Watch demo](https://www.youtube.com/watch?v=EIvUu4AbpRc)

![Confluent Intelligence - featured asset Streaming Agents Flink icon](https://images.ctfassets.net/8vofjvai1hpv/262gyavfZOAepRHG8jo049/3335c9307b7e306a95ebdfb6d20f9bde/confluent-intelligence-featured-asset-streaming-agents-icon.png?w=100&h=100&q=100&fm=png&bg=transparent)

Building Collaborative Agent Ecosystems

Bringing A2A and MCP together along with Multivariate Anomaly Detection

[Watch demo](https://youtu.be/m4NAfcv0MHI)

![Anthrophic webinar padded icon](https://images.ctfassets.net/8vofjvai1hpv/25hLxD9R6N6oxHrr43ZFSA/0072f9b5b87e3a8581abc66c0a393de6/Group_32621480.png?w=100&h=100&q=100&fm=png&bg=transparent)

How to Power AI Agents with MCP

An agentic AI tutorial with Anthropic’s MCP, Claude LLM, and Confluent

[Watch webinar](https://www.confluent.io/resources/online-talk/ai-agents-with-anthropic-mcp-claude/)

What Can You Do with Confluent Intelligence?

#### Always-On Agents Built Into the Stream

Streaming Agents brings together data processing and AI workflows, making it easy to build and run event-driven agents directly on Flink. With access to real-time contextualized data, they’re uniquely suited for enterprise workflows—monitoring and taking instant, informed action the moment operational events occur.

#### Fresh Context to Power Every AI Decision

Deliver trustworthy context in real time from your enriched, enterprise data to any AI system—LangChain, Bedrock, Agentforce, Claude, and more—via MCP with the fully managed Real-Time Context Engine on Confluent Cloud.

#### Serve any AI app or agent at low latency

Provide any AI agent, copilot, and model anywhere with governed, structured, and live relevant data instead of stale snapshots

#### Synced with upstream data and systems

Unify across historical and streaming data, automatically updated as upstream logic or features change, ensuring decisions reflect fresh context

#### Zero infrastructure to manage

Eliminate complexity and focus on building AI with fully managed MCP, while gaining built-in authentication, RBAC, audit logging, and observability—no Kakfa or Flink expertise needed

#### Real-Time Machine Learning

Execute sophisticated ML pipelines for fraud and anomaly detection, forecasting, sentiment analysis, and more to trigger AI workflows. Utilize native Flink functions to embed ML capabilities within data streams, simplifying workflows and unlocking accurate, actionable insights.

Connect Your Entire AI Ecosystem

Confluent Intelligence integrates seamlessly with your AI infrastructure. Deploy across major cloud providers and connect to leading vector databases, AI tools, frameworks, and more. Leverage strategic partnerships and system integrators to accelerate your real-time AI initiatives.

![Confluent's Partner Ecosystem](https://images.ctfassets.net/8vofjvai1hpv/3ycdkVzQKG5jd13ArhpmTE/379a64b0f8cf7dac4cff2ea3515a91a1/Group_24.png?w=1024&h=451&q=90&fm=png&bg=transparent)

![Confluent's Partner Ecosystem](https://images.ctfassets.net/8vofjvai1hpv/3ycdkVzQKG5jd13ArhpmTE/379a64b0f8cf7dac4cff2ea3515a91a1/Group_24.png?w=1024&h=451&q=90&fm=png&bg=transparent)

What Can You Build with Confluent Intelligence?

How Do Our Customers Use Confluent?

![Notion carousel logo white](https://images.ctfassets.net/8vofjvai1hpv/3ZMhRmMniEJj3EQxRz9efN/a295d6c9718f65672884ed626162801d/Mask_group.png?w=300&h=260&q=100&fm=png&bg=transparent)

"Confluent's platform allows us to stream changes as they happen, ensuring that our AI tools always provide the most relevant and timely information."

![Thrivent Financial - carousel logo](https://images.ctfassets.net/8vofjvai1hpv/6E9DDwu2a9NUrXxZ3iTm7I/140542c93fe7801a0ae1d75c35281723/Group_32621483.png?w=300&h=250&q=100&fm=png&bg=transparent)

"Data streaming is going to be critical for financial services organizations in the future—especially when it comes to AI/ML use cases where the ability to stream data, implement workflow automation, and make real-time predictions are the key to success."

![Henry Schein One carousel logo white](https://images.ctfassets.net/8vofjvai1hpv/dx2GiT4AkTferYefjW9Xh/fc6c8793db51e0a27b84949d74cd12f9/Group_32621468.png?w=300&h=200&q=100&fm=png&bg=transparent)

"Everyone wants AI—but the hard part is getting high-quality data moving in real time. The Confluent data streaming platform makes that possible for us. It's the foundation that gets our data moving and gets it where it needs to be."

![Palmerston North City Council logo (white)](https://images.ctfassets.net/8vofjvai1hpv/47XPxedjixMyjKLR26CvAZ/cc4c8df153b5947ec0e49d6ff46c7877/Group_32621475.png?w=300&h=250&q=100&fm=png&bg=transparent)

“Good AI needs good data. Confluent is our trusted source of truth… the data streaming platform provides context and orchestration for our AI agents to automate workflows and accelerate our smart city transformation.”

It’s Free & Easy to Get Started

**New developers get $400 in credits during their first 30 days—no sales rep required.**

Confluent provides everything you need to:

-   **Build** with client libraries for languages like Java and Python, sample code, 120+ pre-built connectors, and a Visual Studio Code extension.
-   **Learn** from on-demand courses, certifications, and a global community of experts.
-   **Operate** with a CLI, IaC support for Terraform and Pulumi, and OpenTelemetry observability.

You can sign up with your cloud marketplace account below, or directly with us.

CloudSelf Managed

## Confluent Cloud

#### A fully managed, cloud-native service for Apache Kafka®

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### Confluent Intelligence | FAQs

### 

What is Confluent Intelligence and how does it help build AI applications?

Confluent Intelligence is a fully managed service on Confluent Cloud, designed for building real-time, context-rich AI systems. It unifies the essential components for production AI—stream processing, state management, and context delivery—into a single stack. This allows developers to build and deploy event-driven, context-aware AI applications powered by Apache Kafka® and Flink® without the heavy operational burden of managing complex infrastructure.

### 

How do Streaming Agents work?

Streaming Agents is a framework for building, testing, and deploying event-driven AI agents directly on your data streams using fully managed Flink and Kafka. Because these agents run as Flink jobs within the stream processing pipeline, they have access to the freshest, most accurate view of your business. This enables them to monitor events and take instant, informed action as they happen, making them ideal for enterprise automation and real-time decision-making.

### 

What makes Confluent Intelligence uniquely suited for real-time generative AI (GenAI) applications?

Confluent Intelligence is uniquely suited for GenAI because it solves the critical challenge of providing real-time, trustworthy context. It combines AI agents that can live in your data streams, a real-time context engine and native ML functions, allowing GenAI applications to access live, indexed data and building event-driven AI without requiring developers to write custom Kafka code or build complex data polling mechanisms.

### 

Can I use my own machine learning models with Confluent Intelligence?

Yes. Confluent Intelligence allows you to execute sophisticated AI and machine learning pipelines. In addition to native Flink functions for anomaly detection and forecasting, it provides the capability to invoke remote AI/ML models. This simplifies the development and deployment of your AI applications by providing a unified platform for both data processing and your custom AI/ML tasks.

### 

How does Confluent Intelligence help create and use embeddings for AI?

Confluent Intelligence streamlines the process of creating vector embeddings for your AI applications. You can choose your preferred embedding model and transform a text column within a Kafka topic into a continuous stream of vector embeddings. This real-time embedding creation is essential for powering use cases like Retrieval-Augmented Generation (RAG) and semantic search in your GenAI applications.

### 

What are some real-world use cases for AI Agents built on Confluent?

The platform is designed for a variety of enterprise use cases, including:

-   **Real-time Copilots:** Building intelligent assistants that use current, contextual data from over 120 sources to provide more accurate decision-making.
-   **Workflow Automation:** Orchestrating complex business processes with AI Agents that run continuously, with humans kept in the loop for critical decisions.
-   **Real-time Fraud Detection:** Using integrated anomaly detection on live transaction streams to identify and block fraudulent activity in milliseconds.

### 

What is the Model Context Protocol (MCP) and why is it important for AI Agents?

Model Context Protocol (MCP) is an open standard that provides a universal way for AI models to connect to data sources and tools. MCP is transformative for agentic AI because it enables you to provide agents with improved context and give them access to a rich toolkit of capabilities by simply connecting it to relevant MCP servers.