Context lake
Unify organizational context across your SDLC - improve agent accuracy while cutting AI token costs 80%.
“The absence of a dedicated context layer, in agentic architectures, leads to unreliable agent behavior and higher costs”
Gartner 2026
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“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
Ingest data from anywhere at scale
Ingest and automatically correlate data via 200+ integrations, APIs, Data streaming, GitOps or no-code builders.
Define relations and auto-generated APIs
Define relations, computed properties, and auto-generated APIs that match your organization
Give agents richer context
Native descriptions and markdown provide agents with more context, reducing hallucinations.
Cut token costs with single-query reasoning
Single-query graph traversal cuts expensive multi-step tool chains and token costs.
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.
Trace every agent decision back to the source
Every agent run, scorecard, and workflow ties to its entity. Complete audit trail, zero friction.
