Most agents never make it out of demo mode.

Enterprise agents need governed, real-time access to the right data. Without it, they hallucinate, drift, and get pulled from production.

AI/ML
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POWERING REAL-TIME AI AT
GlobalFoundries
LiveRamp
Deepomatic
Poolside
Arctic Wolf
Johnson Controls
Teads
Truecaller

Your agents can do the work. Your data stack won't let them.

Stale context. Wrong answers.

Every warehouse pipeline introduces 1–10 minutes of lag. Agents reasoning from stale snapshots make decisions that no longer match reality.

No identity. No accountability.

Without per-agent identity and access controls, you can't audit what data an agent touched or why. Governance fails before it starts.

Data scattered. Agents blocked.

Useful context lives in databases, APIs, event streams, and lakehouses. Agents without connectors to all of it work with an incomplete picture.

The Redpanda Data Platform

Stream, connect, and query. One platform.

The streaming, connectivity, and SQL infrastructure that agents run on.

Stream

Up to 1 GB/sec write throughput per node, built in C++. The event stream agents reason from, delivered in real time.

Connect

CDC from Postgres, MySQL, MongoDB, and others. Iceberg output, Snowflake Streaming, Salesforce, Google Drive, and 300+ more. No custom pipelines.

SQL

Ad-hoc SQL queries against live topics and Iceberg history. No union logic. No pipeline lag. No stale snapshots.

Agent workloads that can't afford stale data.

Agent analysts

Agents thrive on structured data, fanning out across hundreds of parallel SQL queries to explore a hypothesis. Queries hit live data. Answers match reality.

RAG pipelines

Accurate RAG requires fresh context. Redpanda feeds retrieval pipelines from live event streams, not a warehouse that's already ten minutes behind.

Private inferencing

Regulated data that can't leave your environment can still be queried by agents inside your VPC. No egress, no exposure, no compromise.

AI observability

Every LLM execution is traceable to its source data in the event log. Audit trails are built in, not bolted on.

Agentic Data Plane

Redpanda closes the gap between agents and data.

A governed access layer that connects data systems and mediates every agentic interaction.

Trust

Apply on-behalf-of (OBO) authorization and OIDC identity to every agent. Every data access is mediated, attributed, and controlled.

Context

Connect agents to 300+ data sources via MCP servers and connectors. Agents get what they need. Nothing more.

Explainability

Every agent action is recorded in the durable event log. Replay, audit, or challenge any decision. The record is immutable.

Control

Set guardrails, enforce token limits, and trigger kill switches before an agent goes rogue. Governance that doesn't slow agents down.

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Top resources

Redpanda Agentic Data Plane

Redpanda Agentic Data Plane

Data + AI Weekly

Data + AI Weekly

What's new in the Redpanda Agentic Data Plane

What's new in the Redpanda Agentic Data Plane

Agentic kill switch is a database problem. So we built Redpanda SQL

Agentic kill switch is a database problem. So we built Redpanda SQL

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Your agents are ready. Is your infrastructure?

Most governance failures happen before the agent executes, not after. Redpanda gives your agents identity, context, and oversight from the first query.