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The Data Infrastructure for Agentic AI

Connect isolated AI agents into a scalable, real-time mesh for seamless orchestration and dynamic workflows.

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Trusted for mission-critical data and AI

• CHALLENGES

Why Most Enterprise AI Initiatives Fail

Fragmented Intelligence

Siloed agents, stale context, and no shared memory hold teams back.

Developer Pain

Bespoke connectors and fragile pipelines make AI hard to deploy and scale.

Enterprise Risk

Limited visibility, duplicated logic, and high operational cost raise red flags.

• THE WAY OUT

Own Your Data, Own Your Agents

Orca turns prototypes into production systems — agents that act in real time, access tools safely, and stay accountable end-to-end.

Orca Agent Engine architecture diagram showing data streaming, MCP, governance, and enterprise tool integration

Built on Data Streaming

Consumes streams from Kafka, Pulsar, DB/CDC, SaaS, logs, IoT.

Runs Agents & Functions

Host agents and lightweight functions as long-lived, event-driven workloads.

Connects to Enterprise Tools Safely

Via MCP and a Secure Tool & Data Gateway.

Keeps Everything Governed

RBAC, audit logs, observability, replay, and BYOC/Private Cloud.

• BUILT FOR SHIP SPEED

Deploy Autonomous Agents, Not Infrastructure

Streams & Queues - One Event Backbone

Give every agent fresh, millisecond-level context while powering massive-scale task queues — all in one unified platform. Pulsar topics offer native ordering and replay, and Ursa runs them as native Kafka out of the box.

Streams: Real-time state, event sourcing, time-travel replay

Queues: Elastic task execution at 1M+ msgs/sec

Control Plane: Unified governance, QoS, and observability

From Functions to Fully Autonomous

Start with Pulsar Functions. Scale to autonomous, event-driven agents with a flip of a switch. StreamNative Agent Engine powers both single-agent use cases and distributed multi-agent systems.

No Bottlenecks: Built to scale — fully distributed

No Single Point of Failure: Resilient by design

Composable Tasks: Break complex logic into atomic steps

Queues Dynamic Flow: Agents route tasks based on context

Control Plane Open by Default: Integrate with LangChain, Google ADK, OpenAI, and more

Every Tool, One Registry

MCP (Model Context Protocol) makes APIs plug-and-play. With the StreamNative MCP Server, agents instantly discover and use connectors, functions, and tools — no glue code required.

Plug in RAGs, vector DBs, and APIs instantly

Agents auto-discover and invoke tools with MCP schemas

Onboard new data sources in seconds — zero code needed

• DEMO CONTENT

On Demand Tutorials for All

Introducing StreamNative MCP Server

Query Pulsar or Kafka clusters in plain English — inspect topics, consumer lag, throughput, and even create new subscriptions on the fly.

Intelligent Event Backbone for Enterprise AI

See a fully autonomous incident-response swarm: agents detect an outage, diagnose root cause, and push a remediation — all within seconds.

EXPLORE MORE

• RESOURCES

Learn More About Agentic AI Infrastructure

BlogOct 28, 2025

Start Building Governed AI Agents on Your Streaming Backbone

Connect Orca to your existing Kafka and Pulsar streams.
Register tools through the Secure Tool & Data Gateway.
Deploy your first agent with your favorite framework.

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