ENTERPRISE AI GATEWAY
MAXLAKER AIHub
Enterprise AI model access & token hub
40+
LLMs connected
/v1
OpenAI-compatible endpoint
Private
Private deployment ready
$ curl https://aihub.maxlaker.com/v1/chat/completions-H "Authorization: Bearer sk-••••"-d '{ "model": "gpt-4o","messages": [{ "role": "user","content": "Introduce MAXLAKER in one line" }] }'
Positioning
MAXLAKER AIHub is the enterprise private AI API gateway: one OpenAI-compatible API for unified access to 40+ leading LLMs — OpenAI, Claude, Gemini, DeepSeek, Qwen, ERNIE, Hunyuan, Midjourney, and video-generation models. Unified authentication, metering & billing, and channel management, with one-command Docker private deployment.
Built for enterprise engineering, data, and operations teams, AIHub brings model access, key management, cost control, and security governance into one control plane. Integrate once at the application layer, then switch models and channels by scenario, budget, or compliance needs.
One hookup, 40+ models ready
An OpenAI-compatible interface: existing clients plug in directly, switching models with zero rework.
Cost under governance
Token / multiplier / session billing with user, team, and global quotas plus over-limit alerts and auto-suspension.
Private & compliant
One-command Docker private deployment, allowing enterprises to plan gateway deployment and operations around their own environment.
Core Capabilities
From “callable” to governable: AIHub does more than aggregate models. It brings permissions, budgets, channel health, and request observability into one operating loop — helping engineers ship, operators control spend, and leaders judge return on AI investment.
Unified multi-model access
40+ model services via 40+ upstream channel adapters, with smart routing and health checks.
OpenAI
Claude
Gemini
DeepSeek
Qwen
Zhipu GLM
Tencent Hunyuan
Kimi
MiniMax
ERNIE
Doubao
Hugging Face
Mistral AI
Moonshot AI
Perplexity
OpenRouterUnified metering & billing
Token metering (input/output/cache), multiplier and tiered billing; top-ups, subscriptions, redemption codes.
Auth & security
API Key / OAuth / WebAuthn / TOTP auth, SSRF/CSRF protection, circuit breaking and rate limiting; end-to-end TLS encryption with content moderation.
Channel management
Add, group, and rate upstream channels with connectivity tests and health monitoring.
Usage & quotas
Usage/task logs, usage dashboards, and TTFT, latency, TPS, success-rate metrics — with usage and cost split by organization, department, and group.
Admin console
Site branding, billing & payments, model routing, security limits, and ops settings; organization & department hierarchy management, in a 6-language console.
Operating Model & Delivery Path
Step 1
Deploy
One-command Docker Compose deployment, then initialize the admin account.
Step 2
Configure channels
Register upstream model channels (API keys, groups, multipliers) and test connectivity.
Step 3
Create tokens
Generate API keys for your apps and set limits and quotas.
Step 4
Call
Point the base URL at /v1 (OpenAI-compatible) — existing clients work as-is.
Model Ecosystem
15+ leading domestic and international providers are shown here; the gateway connects 40+ models and upstream channels through one OpenAI-compatible API.
OpenAI
Claude
Gemini
DeepSeek
Qwen
Zhipu GLM
Tencent Hunyuan
Kimi
MiniMaxERNIEDoubaoHugging FaceMistral AIMoonshot AIPerplexityOpenRouterBusiness Scenarios & Applications
Unified enterprise model access
Dev teams reach every model through one interface — no per-vendor integration or settlement.
App development & API integration
A stable model supply line for internal apps and AI agents.
Token procurement & distribution
Procure capacity centrally; distribute and settle across departments, subsidiaries, and downstream clients.
Deployment, Billing & Delivery
Deployment
Primarily private deployment (one-command Docker, Go single binary with embedded frontend); SaaS token service also available.
Planning a specific deployment? Talk to our solution team for guidance based on your environment.
Book a Demo →Pricing & Editions
| Pay-as-you-go | Token metering (input/output/cache) + multiplier billing, session billing supported |
| Top-ups & subscriptions | Top-ups (Stripe / ePay), subscriptions, redemption codes, wallet balance |
| Managed instance | Instant on — for quick validation and small-to-mid teams |
| Private deployment | Docker Compose / systemd / offline images, commercially licensed |
Position in the Four-Layer Architecture
L1 · Infrastructure & Connectivity
Current position
L2 · Core Intelligence & Assets
L3 · Productivity & Growth
L4 · Infinite Extension
Direct API access vs. through AIHub
Why enterprise AI access needs a unified gateway: the real differences between the two approaches
| Dimension | Direct to vendors | Through MAXLAKER AIHub |
|---|---|---|
| Model access | Per-vendor accounts, SDKs, and contracts — N vendors, N integrations | One OpenAI-compatible API, 40+ models ready to use |
| Billing & cost | Separate invoices, inconsistent metering — no consolidated view | Unified token/multiplier/session billing with three-level quotas and reconciliation |
| Security & compliance | Scattered keys and data-egress risk; governance left to each vendor | End-to-end TLS and content moderation |
| Enterprise governance | No org/department dimension — usage is hard to attribute | Organization → department hierarchy; keys bound to units; usage metered per department |
| Observability | No unified logs or metrics — hard to troubleshoot | TTFT / latency / TPS / success-rate metrics with full request logs |
Enterprise Buying FAQs
What is MAXLAKER AIHub?
It is the enterprise private AI API gateway: unified access to 40+ third-party model services, with unified metering & billing, authentication, and channel management — one interface for all major models.
Which models are supported?
40+ domestic and international models, including OpenAI, Claude, Gemini, DeepSeek, Qwen, ERNIE, Hunyuan, Midjourney, and video generation models — with continuous expansion.
How is token usage billed?
Token metering (input/output/cache) with multiplier-based billing; top-ups (Stripe/ePay), subscriptions, and redemption codes supported, with enterprise-grade reconciliation, quotas, and tiered channel distribution.
Does it support organization/department-level management?
Yes. A built-in organization governance module provides a multi-level organization → department hierarchy, five roles (owner / admin / unit admin / auditor / member), API keys bindable to organizations or departments (with suspension), and token usage and cost metered by organization, department, and group — meeting multi-department accounting and audit requirements.
What does private deployment look like?
Docker Compose one-command deployment, systemd bare-metal deployment, or offline image import; a Go single binary with an embedded frontend, requiring MySQL 8 + Redis — the gateway can run inside your intranet. When external models are called, whether prompts and outputs leave the network depends on the upstream channel and enterprise egress policy.
How do I integrate quickly?
Create a token (API key) in the console after deployment; the interface is OpenAI-format compatible — just switch the endpoint. Existing AI clients can be configured directly.
Make AI Your Growth Engine
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