ModelLane — AI Inference Control Plane
ModelLane AI inference control plane logo
INFERENCE CONTROL PLANE

Stop choosing models.

Route every AI request across leading models and providers based on performance, cost, availability and policy — through one production endpoint.

339 provider integrations. One API.
OpenAI-compatibleBYOKSelf-hostableNo lock-in
LIVE ROUTE
{{ simBadge }}
REQUEST
POST /v1/responses

{
  "model": "lane:production",
  "input": "..."
}
MODELLANE
Claude Sonnet{{ t0 }} {{ p0 }}
Gemini Flash{{ t1 }} {{ p1 }}
GPT{{ t2 }} {{ p2 }}
Private{{ t3 }} {{ p3 }}
Production Lane
Quality ≥ 94 Latency < 2.0s Cost < $0.02 Retention Zero Region US
{{ simEvent }}
12.4B+
requests routed
99.999%
successful routes
18ms
median failover
$42M
inference spend managed
Works with the stack you already use.
OpenAI Anthropic Google Mistral Groq DeepSeek Ollama vLLM
Running in production at
LOGO 01
LOGO 02
LOGO 03
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LOGO 06
ONE STABLE LAYER

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.

2026
GPT A
Claude A
Gemini A
Claude B
Gemini B
Kimi
Model X
MODELLANE YOUR APP
2027
Whatever model wins next, you’re already integrated.

Built for the entire model market.

All that infrastructure. One stable interface.

339
PROVIDER INTEGRATIONS
1,202
DOCUMENTED MODELS
19
ROUTING STRATEGIES
108
MCP TOOLS
656
API ROUTES
3
RESILIENCE LAYERS
Measured from the engine registry at release time — refreshed with every release. public-capabilities.json
Enormous underneath. Simple at the edge.
LANES

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.
19 STRATEGIES UNDERNEATH. ONE LANE IN YOUR CODE.
priority weighted fill-first p2c least-used cost-optimized context-relay fusion pipeline autopilot +9 more
CONTINUITY

Failure stays contained.

ISOLATION SCOPE
Provider
└── Connection
    └── Model

A failed model shouldn’t take down a provider.

A bad credential shouldn’t take down a model family.

{{ eventTime }}
{{ eventModel }}
{{ eventReason }}
MODEL {{ mLabel }}
CONNECTION HEALTHY
PROVIDER HEALTHY
{{ eventNote }}
ONE INTERFACE

One endpoint. Every model.

BEFORE
OpenAI SDK
Anthropic SDK
Gemini SDK
Mistral SDK
Groq SDK
AFTER
YOUR APP
api.modellane.app/v1
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["MODELLANE_API_KEY"],
    base_url="https://api.modellane.app/v1"
)

response = client.responses.create(
    model="lane:production",
    input="..."
)
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.MODELLANE_API_KEY,
  baseURL: "https://api.modellane.app/v1",
});

const response = await client.responses.create({
  model: "lane:production",
  input: "...",
});
curl https://api.modellane.app/v1/responses \
  -H "Authorization: Bearer $MODELLANE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "lane:production", "input": "..."}'

Change the base URL. Keep the SDK.

OBSERVABILITY

See every route.

Every decision the control plane makes is recorded: which route was chosen, why it changed, and what it cost.

control plane Overview Lanes Providers Policies Production HEALTHY
REQUESTS
8.42M
SUCCESS
99.997%
P50
684ms
COST / SUCCESS
$0.0118
TRAFFIC
Anthropic42%
Google28%
OpenAI21%
Other9%
RECENT ROUTING EVENTS
14:08 Gemini latency elevated shifted 22% → Anthropic
14:06 OpenAI recovered canary traffic resumed
13:52 Budget threshold reached Economy Lane optimized
EFFICIENCY

Spend intentionally.

THIS MONTH
Inference spend $28,430
Routing optimization-$7,914
Semantic cache-$2,481
Context optimization-$1,829
Avoided spend $12,224

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.

PRICING

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.

Sandbox
Free
Routed requests25k / mo Provider connections2 Lanes1 Trace retention24 hours
Basic routing, community support, no production SLA.
Start free
Production
$199 / month
Routed requests500k / mo Provider connections10 Lanes5 Trace retention30 days Overage$25 / 100k
Failover, retries, cost tracking, routing policies, basic caching, email support.
Start building
Scale
POPULAR
$599 / month
Routed requests3M / mo Provider connectionsUnlimited Lanes25 Trace retention90 days Overage$15 / 100k
Advanced routing, context optimization, semantic caching, alerts, policy controls, team access, priority support.
Start building
Business
$1,799 / month
Routed requests15M / mo Provider connectionsUnlimited LanesUnlimited Trace retention12 months Overage$10 / 100k
Everything in Scale, plus audit logs, advanced governance, RBAC, SSO, longer retention, custom provider rules, engineering channel.
Start building
BYOK — you pay your model providers directly.No credits system.1 request routed = 1 ModelLane request.
ENTERPRISE & ADD-ONS

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
GATEWAY OVERHEAD
12ms p50
——
AWAITING PUBLISHED HARNESS
FAILOVER
18ms median
——
AWAITING PUBLISHED HARNESS
AVAILABILITY
99.99%
——
AWAITING PUBLISHED HARNESS

Every metric on this page is published with its measurement method, sample window and instrumentation point. Nothing appears here until it can be reproduced.

POLICY

Make the acceptable path explicit.

Customer: Healthcare-US POLICY SET
Zero-retention providers
US processing
Approved models only
PII redaction
Audit logging
Training permitted
Unapproved regions

Every Lane can enforce provider, model, geography, retention, budget and safety requirements before a request is routed.

EVALUATED PRE-ROUTE
AGENT-NATIVE

Your agents can operate the model layer.

A control plane your agents can operate.
MCP108 TOOLS

Inspect routes, usage, models and health through MCP.

A2A

Expose routing and model infrastructure to agent networks.

TOOLINGOPENAI-COMPATIBLE

Connect coding agents and AI development tools through the same endpoint.

mcp.json
{
  "mcpServers": {
    "modellane": {
      "url": "https://api.modellane.app/mcp",
      "headers": {
        "Authorization": "Bearer $MODELLANE_API_KEY"
      }
    }
  }
}
DEPLOYMENT

Your cloud. Our cloud. Same control plane.

01
ModelLane Cloud

Fastest deployment.

02
Dedicated

Single-tenant ModelLane.

03
Your VPC

Run the control plane inside your environment.

LATER Hybrid Cloud burst / private routing.
ENTERPRISE

Infrastructure you can put in the critical path.

Private deployment

Dedicated or customer-controlled infrastructure.

Identity

SAML / SSO / SCIM.

Controls

RBAC, policies and audit events.

Security

Encryption, retention controls and credential isolation.

Reliability

SLAs and production support.

Governance

Provider allowlists, regions and data policies.

QUICKSTART

First route in five minutes.

01 Create a key.
02 Change your base URL.
03 Create a Lane.
Start building No credit card
terminal
# 01
$ modellane keys create --name prod

# 02
$ export OPENAI_BASE_URL="https://api.modellane.app/v1"

# 03
$ modellane lanes create production \
    --quality 94 \
    --latency 2000ms \
    --cost 0.02 \
    --retention zero \
    --region us

 lane:production ready
FAQ

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.