Stop choosing models.
Route every AI request across leading models and providers based on performance, cost, availability and policy — through one production endpoint.
Models change. Your application shouldn’t.
New models launch. Prices move. Providers throttle. Regions fail. APIs evolve.
ModelLane gives your application a permanent interface to a constantly changing model market.
Whatever model wins next, you’re already integrated.
Built for the entire model market.
All that infrastructure. One stable interface.
Define the outcome. Not the provider.
A Lane describes how an AI workload should behave. ModelLane continuously finds a route that satisfies it.
model="lane:{{ laneName }}"
That’s it.
Failure stays contained.
Provider
└── Connection
└── Model
A failed model shouldn’t take down a provider.
A bad credential shouldn’t take down a model family.
One endpoint. Every model.
Change the base URL. Keep the SDK.
See every route.
Every decision the control plane makes is recorded: which route was chosen, why it changed, and what it cost.
Spend intentionally.
Cost isn’t a model setting. It’s a system property.
Cost-aware routing, semantic caching and context optimization run inside the Lane. Every avoided dollar is attributed to the mechanism that avoided it.
The whole product. Every tier.
All 339 providers, 19 routing strategies and every MCP tool are available on every plan. You bring the keys; we route them. You pay for volume, not features.
Single tenant. VPC. Custom everything.
Enterprise starts at $5,000/month on annual contracts — single-tenant deployment, private connectivity, custom retention, SAML/SCIM, DPA, security review support, contractual SLA and a dedicated engineering contact. Paid migration programs and managed VPC deployment are available for teams already running OpenRouter, LiteLLM, Portkey or a custom proxy.
Measured in production.
Methodology→Every metric on this page is published with its measurement method, sample window and instrumentation point. Nothing appears here until it can be reproduced.
Make the acceptable path explicit.
Every Lane can enforce provider, model, geography, retention, budget and safety requirements before a request is routed.
Your agents can operate the model layer.
Inspect routes, usage, models and health through MCP.
Expose routing and model infrastructure to agent networks.
Connect coding agents and AI development tools through the same endpoint.
Your cloud. Our cloud. Same control plane.
Infrastructure you can put in the critical path.
Dedicated or customer-controlled infrastructure.
SAML / SSO / SCIM.
RBAC, policies and audit events.
Encryption, retention controls and credential isolation.
SLAs and production support.
Provider allowlists, regions and data policies.
First route in five minutes.
Direct answers.
Yes.
ModelLane is for teams that don’t want routing, provider integrations, reliability engineering, policy enforcement, observability, security updates and incident response to become infrastructure they maintain.
You build the product. We operate the model layer.
The base URL and the model string. ModelLane presents an OpenAI-compatible /v1 interface and translates between OpenAI, Anthropic, Gemini and Responses-style APIs, so your existing SDK stays in place.
Yes. Bring your own keys per provider, or let ModelLane manage capacity. Credentials are isolated per connection, and a bad credential locks out only that connection.
ModelLane Cloud, a single-tenant dedicated deployment, or inside your own VPC. The control plane, Lanes and policies are identical in all three.
Not yet. Current controls, subprocessors and audit status are published in the Trust Center. We will list a certification on the day it is issued and not before.
One endpoint. Every model that follows.
Create a key, change your base URL, define a Lane. Keep shipping while the model market moves.