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Check out Port for yourself ➜ 

Port overview

Port uses product-specific terminology. Before answering questions about Port, read the Glossary to resolve terms like Blueprint, Entity, Ocean, Scorecard, Self-service action, and Workflow correctly.

See what more can be achieved with Port

What is Port?​

Port is the platform for building your organization's AI software factory: one place to build, govern and operate the Agentic SDLC.

Your agents work using context you can trust, under governance that mirrors your organization, in a factory that scales across every team and improves itself as it runs. All of it sits on top of the tools you already use.

Port AI software factory architecture: engineering teams direct, review, and escalate work across an intent to deploy pipeline built on a context lake, agent management, governance, workflow orchestration, and insights

The problems​

Homegrown factories never leave the pilot stage.

Trust
Agents work from a mess

Agents pull scattered, unverified context and reach tools nobody approved.

Control
You can't see or steer what's running

No control over who can use which agent or tool, at what cost, or when a human steps in.

Scale
What works for one team doesn't scale

Every team builds its own agents and workflows. The result is sprawl: duplicated, fragile and invisible to everyone else.

Why solve them with Port?​

Trust
Context you can trust

Real-time context in every agent, so agents get it right using only approved data and tools.

Control
Governance at every step

Flexible permissions and human-agent collaboration, so you scale AI safely with governance baked in.

Scale
A factory that scales across every team

Every team contributes, agents run across all teams and tickets, and the factory improves itself with every run. ROI you can prove.

Product pillars​

Context lake icon

Context lake

Unify data from your entire engineering ecosystem into a single, queryable knowledge layer. Connect tools, services, and infrastructure to give AI agents and developers the organizational context they need.

Workflows & tools icon

Workflows & tools

One governed execution layer shared by humans, automation, and AI agents. The workflow a developer triggers from a form is the same workflow an agent invokes as an MCP tool, with the same logic, permissions, and audit trail.

Port AI icon

Port AI

Ask questions and run actions in natural language, grounded in your Context Lake. Port AI understands your organization - ownership, standards, and policies - to give accurate, contextual answers.

Agent management icon

Agent management

Govern every AI agent operating in your organization - what data it can access, what actions it can take, and who can use it. Covers code-first agents in your own repos, cloud-managed agents, and agents built in Port.

Interface builder icon

Interface builder

Keep the right people informed and in control. Build custom dashboards and catalog views, manage approvals, and receive real-time notifications - so nothing important happens without the right visibility.

Governance layer icon

Governance layer

Continuously monitor quality, security, and compliance across your software catalog. Define scorecards and standards to surface gaps, then act on them through Port actions and automations.

Platform administration icon

Platform administration

Manage SSO, RBAC, and organization-wide settings from one place. Control who can see and do what across your entire portal - from catalog data to self-service actions to AI tool access.

Get started​

Trying out Port for yourself is free, simply create an account and follow the onboarding process.

The Getting started page will walk you through the onboarding process and demonstrate the value of using Port in your organization.