Over the last few years, we’ve grown into a leader in the commercial Internal Developer Portal (IDP) market, serving hundreds of customers globally.
IDPs started with a simple promise: give engineers one place to understand their software, tools, and infrastructure, who owns what, how to ship faster, and how to keep standards consistent.
The value of the IDP, as the system of record and system of action for engineering, has become the foundation for a broader vision.
That broader vision is what we are building now: the Agentic Engineering Platform (AEP). 

2026-2027: From AI-Assisted to AI-Led Engineering

AI coding assistants are now standard across teams, and they’ve improved how developers write code.
But the industry is now moving to the next phase: from AI-assisted to AI-led engineering, with humans in the loop.
If you want something like autonomous ticket resolution, a coding assistant isn’t enough. It requires a full agentic system with multiple agents, teams, the right context for each agent, guardrails and audit.
That’s what we’re extending Port to become: an Agentic Engineering Platform that brings AI to the entire SDLC. 
Moving the industry from manual engineering to autonomous engineering. 

What Is an Agentic Engineering Platform?

An Agentic Engineering Platform is a new layer on top of Port’s existing offering.
Port already powers human-led workflows through self-service actions, software catalog, and scorecards. 
This new layer takes the next step: it runs the everyday work of the SDLC and gives AI agents real responsibility, like:

• Handling tickets from coding to production
• Self-healing incidents
• Fixing vulnerabilities
• Keeping standards healthy
  

All of this happens with humans fully in control.
Port gives teams a human-to-agent collaboration UX. Teams can review, approve, and guide agent decisions, so organizations can go through the change management required to adopt AI safely.
Behind the scenes, Port connects to the entire tech stack to give agents the context they need. We help teams:

• Guardrails so actions are safe and consistent
• Orchestrate workflows through the SDLC
• Context lake: a single endpoint for agents to consume high-quality data & tools
• Clear view of how velocity, quality, throughput, and ROI change over time
  

The AEP is the layer that runs engineering processes end-to-end, and unlocks speed and efficiency teams simply couldn’t reach before.

What Comes Next

This round lets us accelerate the path we’re already on.
That means bringing agentic workflows to every stage of the SDLC, and making them accessible to every technical stakeholder: developers, SREs, platform teams, security, compliance, and operations.
AI coding assistants changed how developers write software.
Agentic engineering platforms will redefine how engineering is done in the AI era.