Confluent is a Streaming & Messaging company founded in 2014 and based in Mountain View, United States. It has been part of IBM since 2026.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jun 24, 2021 | IPO | $828M | $9B | — |
| Apr 21, 2020 | Series E | $250M | — |
| Coatue |
| Jan 1, 2019 | Series D | $125M | — | Sequoia Capital |
| Mar 1, 2017 | Series C | $50M | — | Sequoia Capital |
| Jul 1, 2015 | Series B | $24M | — | Index Ventures |
| Nov 6, 2014 | Series A | $6.9M | — | Benchmark |

Confluent's CTO argues that AI agents expose a timing gap in enterprise data pipelines.
Red Hat and Nvidia expand their partnership to secure autonomous AI agents and govern model access on Nvidia's Vera Rubin infrastructure.

Confluent urges buyers to redirect AI budgets toward fixing data estates and backs an open Streamhouse category.
An opinion piece argues that controlling AI agents will be the next big data-infrastructure challenge, referencing Confluent, Databricks, and Snowflake.
A fully managed data streaming platform built on Apache Kafka and Apache Flink, powered by the cloud-native Kora Kafka engine. Offers 60% lower TCO than self-managed Kafka, 120+ pre-built connectors, serverless stream processing, and consumption-based pricing. Supports real-time data pipelines for AI systems, operational databases, and analytics workloads.
An on-premises deployment of Confluent's cloud-native streaming platform for regulated industries, launched in October 2025. Brings Confluent Cloud simplicity and fully managed features to private infrastructure, enabling organizations in finance, healthcare, and government to run Kafka with enterprise SLAs without public cloud data egress.
An AI-focused capability layer introduced in 2025 that feeds real-time, trustworthy data into production AI systems via Kafka and Flink. Designed to solve data freshness and consistency challenges at the heart of AI inference pipelines, enabling event-driven AI architectures with streaming ground-truth data.
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