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Run and Govern AI Agents on Your Data
Orca is the secure, governed runtime for AI agents to access and act on enterprise data in production.
Event-driven Runtime
Event-driven workloads on Kafka and Pulsar.
Live Context from All Your Data
Context from Kafka, Pulsar, CDC, and SaaS.
Secure Tools, Governed Access
Every action is permissioned, logged, and replayable.
Introducing Orca Agent Engine
An event-driven agent runtime on your streaming backbone — connect to Kafka & Pulsar, maintain durable state, wire tools via MCP, and gain enterprise-grade governance and observability.
• THE TRAPS
Most enterprises can demo LLM bots, but production agents break on reality.
Context is fragmented
Data is scattered across Kafka/Pulsar, databases, SaaS apps, logs, and IoT — agents can't reason over one live picture.
Access is ad-hoc and risky
Tool integrations are stitched together per team with inconsistent auth, permissions, and safety controls.
Governance is bolted on
RBAC, audit, policy, and replay are scattered (or missing), so you can't control or explain agent actions.
• THE WAY OUT
The Agent Engine for the Agentic Enterprise
Orca turns prototypes into production systems—agents that act in real time, access tools safely, and stay accountable end-to-end.
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.
• THE PLATFORM
Event-Driven Runtime. Live Context. Full Control.
Deploy agents from any framework and let Orca handle scaling and reliability—while it maintains real-time context from your streams, secures every tool call via MCP, and enforces policy, audit, and replay in your cloud.
Event-Driven Runtime — any framework, all event-driven
Run agents from any framework — OpenAI, ADK, LangGraph, or plain code. Triggered by streams, not polling. Orca handles scheduling, scaling, and fault tolerance.
Agents and functions can call each other or tools via the gateway
You don't rewrite agents to fit Orca; you deploy them
Live Context Engine — build & maintain live context for agents
Orca subscribes to Kafka, Pulsar, DB/CDC, SaaS, and IoT streams. Agents observe a shared event bus with persistent memory — every decision is traceable and replayable.
Real-time context layer for every agent
Persistent streaming memory for replay and audit
Secure Tool & Data Gateway — bring AI to your tools safely
Orca wraps APIs, DBs, and SaaS as typed, permissioned MCP tools. Auth, rate limits, and schemas are defined once and reused across agents — every call is logged for audit.
Agents never talk directly to your systems; they go through Orca
Full audit trail for tool calls and outcomes
Agent Governance Plane — agents governed where your data lives
Orca runs in your BYOC or Private Cloud — enforcing RBAC, policies, and encryption across runtime, context, and gateway with full audit, observability, and replay.
Integrates with catalogs and governance around your lakehouse
Governed agents without moving data to someone else's cloud
• USE CASES
What Teams Build on Orca
Real-time RAG copilots on live data
Agents watch business events (orders, tickets, incidents) in streams. They pull context from lakehouse tables and tools via the gateway. They respond in chat, update CRM, or trigger workflows — every step audited.
Automated incident response & AIOps
Agents monitor metrics/logs streams for anomalies. When something breaks, they gather context, open tickets, page humans, or trigger remediations via tools. SREs can replay the full incident trail from governance logs.
Cross-system workflow automation
Agents subscribe to events like customer.created, invoice.overdue, or employee.onboarded. They keep systems in sync by calling CRM, ERP, HRIS, and microservices through the gateway. Policies ensure only approved actions run and all changes are auditable.
Multi-agent decision meshes
Specialized agents handle detection, classification, approvals, and execution. They communicate over events and call each other via MCP tools. The governance plane keeps the whole mesh transparent and controllable.
• SUCCESS STORIES
Proven in Production
StreamNative is built for teams at the intersection of real-time systems, data, and AI initiatives.
FAQs
No. Orca is infrastructure. You keep using your preferred agent frameworks; Orca provides the Event-Driven Runtime, Live Context Engine, Secure Tool & Data Gateway, and Agent Governance Plane needed to run them safely in production.
Orca connects to your existing Kafka and Pulsar topics. Agents subscribe to those real-time streams which were published or collected by applications or connectors, with persistent state and replay for debugging.
The Secure Tool & Data Gateway, implemented with the Model Context Protocol (MCP) and the StreamNative MCP Server, exposes tools as typed, permissioned endpoints. Agents call tools through the gateway; auth, rate limits, and schemas are enforced centrally, and all calls are logged.
In the Agent Governance Plane. It runs in your environment (BYOC or Private Cloud), enforces RBAC and policy, and records every observation, decision, and tool call. You can search, replay, and audit agent behavior like any other production system.
Start building governed, event-driven agents with Orca
- Connect Orca to your existing Kafka/Pulsar streams.
- Register a few tools through the Secure Tool & Data Gateway.
- Deploy your first agent with your favorite framework.