Inferagate

The open-source AI gateway for teams shipping real products with enterprise-grade control.

Connect every inference provider once, publish approved models, control spend, enforce guardrails, and investigate every request from one multi-tenant gateway.

ENTRY

AI Consumers

Apps, agents, copilots and internal enterprise tools sending prompts into the gateway.

CONTROL PLANE

Inferagate

Secure AI Gateway Layer

Security

Governance

Runtime

PRIVATE PATH

Private Runtime

vLLM, Ollama, internal models and private inference running inside your controlled environment.

CLOUD PATH

Cloud Providers

Bedrock, Azure OpenAI, OpenAI, Gemini and external model provider APIs.

Gateway One API for routes, models, keys, and provider failover. Governance Guardrails, approvals, audit, SSO, SCIM, and tenant controls. FinOps Budgets by project, environment, key, route, or workspace.

InferaGate use cases

One control plane for AI runtime, governance, and spend.

Centralize provider access, enforce security policy, connect private runtimes, monitor traffic, and give developers one stable OpenAI-compatible layer.

Explore use cases

Gateway Providers, routes, OpenAI-compatible APIs, and failover. Security Prompt inspection, DLP, jailbreak prevention, and policies. Governance Workspaces, RBAC, credentials, and approved usage. Runtime vLLM, Ollama, private clusters, GPU workloads, and hybrid paths. Observability Logs, telemetry, security events, latency, and provider health. Value Spend control, faster adoption, visibility, and lower complexity.

Designed for teams that outgrow provider-by-provider wiring.

Inferagate becomes the control layer between your apps and the AI ecosystem. Developers keep the OpenAI-compatible API. Operators get visibility. Security gets policy. Finance gets budget boundaries.

01Connect providers and scan models 02Draft, simulate, and promote routes 03Attach guardrails and policy sets 04Investigate request, response, diff, and audit