Enterprise AI Gateway

Purpose: Managing, routing, and monitoring AI/LLM API traffic across multiple providers in production environments.

Inferred · not functionally tested

Audience: AI engineers and enterprise teams deploying LLM applications

Inferred · not functionally tested

Functions: monitoring, analytics

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: commercial_oss · license: Apache-2.0 · platforms: CLI, API, WEB · deployment: browser, cli, self_hosted, cloud_managed, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: ferrolabs.ai · github.com. These links do not verify the individual claims.

Enterprise AI Gateway is an Inference & model serving project. Inferred · not functionally tested: Managing, routing, and monitoring AI/LLM API traffic across multiple providers in production environments. Inferred · not functionally tested: It is built as a B2B product for AI engineers and enterprise teams deploying LLM applications. Basis unknown · not verified: It follows a commercial open-source model under the Apache-2.0 license. Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.

It is developed by Ferro Labs, and it first shipped in 2026. The project is developed in the open on GitHub with 16 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include provider routing, API gateway, and governance controls. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.