Multi-Tenant LLM Proxy for MSPs and Platform Engineers
AiT AI Gateway — one API surface for every model, every tenant, every dollar of AI spend under your control.
A production-grade LLM proxy that abstracts Claude, GPT, Llama, and Mistral behind a single endpoint. Per-tenant budgets, full audit logging, and usage governance built in — ship AI features to clients without giving them direct model-provider access.
The integration problem every platform engineer hits
Building AI features for a multi-client product means managing separate provider accounts, separate API keys, separate billing cycles, and separate audit trails — one set per tenant. Do that for a dozen clients and you have a maintenance surface that grows linearly with your customer count, a billing reconciliation problem, and no centralized place to enforce governance policy.
Most teams solve this by bolting on a thin reverse proxy and calling it done. A thin proxy gives you one endpoint. It does not give you per-tenant isolation, budget enforcement, audit logging, or model governance.
AiT AI Gateway is the complete layer, not the thin proxy.
What the gateway provides
AiT AI Gateway runs between your application layer and every model provider. Your application calls one endpoint; the gateway handles the rest:
- Model routing — Claude, GPT-4o, Llama 3, Mistral, and others available behind a single OpenAI-compatible API surface. Fallback chains and load distribution are configured at the gateway, not in your application code.
- Tenant isolation — each tenant gets a scoped API key, its own usage ledger, and its own budget envelope. No tenant can observe or consume another’s allocation.
- Budget enforcement — hard limits stop spend at threshold; soft limits alert the platform admin. Limits apply at tenant, project, or key level and combine hierarchically.
- Audit logging — every call logged with tenant context, latency, model, token breakdown, and hashed payload. Queryable via API or exportable for client billing and compliance reporting.
- Policy enforcement — per-tenant model allow-lists, content filtering rules, and rate limits applied at the gateway before reaching upstream providers.
Purpose-built for MSPs and multi-tenant platforms
AiT AI Gateway is the same infrastructure Intelligent Group runs to power the AiT product family across client tenants. It is designed for the operational reality of managing AI access at scale: rotating provider keys without client impact, reconciling usage across many accounts, and enforcing compliance policies that differ by client.
Deployed as a managed service or self-hosted on your Cloud Run or Kubernetes infrastructure, with Intelligent Group providing operational support either way.
Book a walkthrough to see how the gateway maps to your current model integration architecture.
Unified model API
One endpoint, one auth layer, one SDK integration — regardless of which model is running the workload. Switch providers, add fallback routing, or A/B test models without changing client-side code.
Per-tenant budget enforcement
Set hard and soft spend limits per tenant, per project, or per API key. Tenants never see each other's usage or exceed their allocation. Overage alerts fire to the platform admin before costs spiral.
Full audit logging
Every API call is logged with tenant ID, user, model, latency, token counts, and input/output hashes. Queryable log store with exportable reports for compliance reviews and client billing reconciliation.
Governance and access control
Restrict which models a tenant can call, enforce prompt policies, and set content filtering at the gateway level — before a request ever reaches an upstream provider. Policy changes propagate instantly without client redeployment.