Port Raises $100 Million in Series C Funding for the Agentic Engineering Platform

Port, the agentic engineering platform, led by Zohar Einy, Yonatan Boguslavsky, Aviv Teldan, Ariel Sakin, and others, has secured $100M Series C led by General Atlantic, with participation from Accel, Bessemer Venture Partners, and Team8, bringing the total funds raised to $158M and valuing the company at $800M.

In recent years, the company has become a leading provider of commercial Internal Developer Portals (IDPs), now supporting hundreds of customers worldwide. IDPs began with a straightforward goal: give engineers a single place to understand their software, tools, ownership, delivery workflows, and standards. As the system of record and system of action for engineering, the IDP has evolved into the foundation for a larger vision, now taking shape as the Agentic Engineering Platform (AEP).

AI coding assistants have become standard, improving how developers write code, but the industry is shifting from AI-assisted to AI-led engineering. Autonomous tasks like automated ticket resolution require a full agentic system with multiple agents, shared context, guardrails, and auditability, not just a coding assistant. Port is evolving into an Agentic Engineering Platform that brings AI across the entire SDLC, moving engineering from manual to autonomous.

An Agentic Engineering Platform (AEP) is the new layer on top of Port’s existing IDP. While Port already powers human-led workflows through its software catalog, scorecards, and self-service actions, the AEP takes the next step: it runs the everyday work of the SDLC by giving AI agents real responsibilities, handling tickets from code to production, self-healing incidents, fixing vulnerabilities, and maintaining standards.

Humans stay fully in control through Port’s human-to-agent collaboration UX, where teams can review, approve, and guide agent decisions for safe, gradual adoption. Under the hood, Port connects to the full tech stack to give agents the context they need, providing guardrails, workflow orchestration, a unified “context lake” for high-quality data, and clear visibility into velocity, quality, throughput, and ROI. This AEP layer runs engineering processes end-to-end and unlocks speed and efficiency that weren’t possible before.