Port builds a development platform centered on AI agents, workflow orchestration, and governance—positioning itself between raw LLM tools and enterprise control. The tech stack (Python, GraphQL, Kubernetes, Kafka, PostgreSQL) and heavy investment in security tooling (EDR, XDR, IAM, CSPM, SAST, SOAR) signal a platform designed for regulated, large-scale deployments. Hiring velocity is accelerating with a clear sales-led motion (sales + marketing account for 55% of new roles), yet internal pain points center on manual processes, autonomous workflow adoption, and enterprise scaling—suggesting the product is still bridging the gap between developer-friendly AI and institutional controls.
Port develops a platform that enables software engineering teams to build and operate AI agents within a controlled, governed environment. Founded in 2022, the company operates from Middletown, Delaware, with a 201–500-person team. The platform surface includes a Context Lake (likely a unified data layer for AI models), workflow orchestration for agentic tasks, agent lifecycle management, and governance controls designed to maintain accountability in AI-driven development workflows. The specialization across developer portals, platform engineering, software catalogs, and DevSecOps reflects a focus on mid-to-large engineering organizations adopting autonomous workflows at scale.
Port runs on Python, GraphQL, React, Node.js, TypeScript, and Go on AWS/GCP/Azure with Kubernetes orchestration. Data layer relies on PostgreSQL, Kafka, and Redis. Infrastructure-as-code uses Terraform and Pulumi; security tooling includes SAST, CSPM, EDR, XDR, and SOAR.
Port actively recruits in the United States, Israel, Australia, and the United Kingdom across engineering, sales, marketing, product, and support functions.
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Port.io's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.