Context lake
Unify organizational context across your SDLC - improve agent accuracy while cutting AI token costs 80%.
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“The absence of a dedicated context layer, in agentic architectures, leads to unreliable agent behavior and higher costs”
Gartner 2026
“Port provides a single source of truth across engineering inventory, health, and compliance – the foundation to enable AI and agentic engineering.”
Meirav Feiler, VP of Engineering
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Ingest data from anywhere at scale
Ingest and automatically correlate data via 200+ integrations, APIs, Data streaming, GitOps or no-code builders.
Give agents richer context
Native descriptions and markdown provide agents with more context, reducing hallucinations.
Map SDLC entities automatically
Auto-discover and continuously map SDLC entities keeping your graph current without manual maintenance.
Unify data, skills, and external MCPs
Unify internal data, skills, and external MCPs in a single governed interface for agents.
