The AI infrastructure developers actually want.

The AI infrastructure developers actually want.

One API. 17,000+ models. Built-in memory and RAG. Focus on your product logic — not model orchestration.

What developers build with Backboard

What developers build with Backboard

AI-native applications with built-in RAG, memory, and model routing — all through one SDK.

Production agents that intelligently switch between models based on cost, latency, and task complexity.

Custom AI workflows with full observability — token usage, latency, and cost tracked per request.

From zero to production in four steps.

From zero to production in four steps.

Install the SDK, point at Backboard, and start building. Everything else is handled.

01

Integrate

Install the SDK or point your existing OpenAI client at Backboard. One line change.

02

Route

Requests are matched to the best model for the task — by cost, speed, or capability.

03

Observe

Every request logged. Token usage, latency, and cost — all visible in one dashboard.

04

Scale

Add memory, RAG, or agent capabilities without changing your application code.

Everything under one API.

No glue code, no vendor lock-in. One endpoint for the entire AI stack.

01

01

OpenAI-compatible
OpenAI-compatible

Drop-in replacement for existing OpenAI calls. Migrate in minutes, not weeks.

02

02

17,000+ models
17,000+ models

Access any model — frontier or open-source — through one consistent API contract.

03

03

Built-in RAG
Built-in RAG

Index documents, retrieve context, and ground responses. No vector DB to manage.

04

04

Persistent memory
Persistent memory

State persists across sessions automatically. No database setup required.

One API. Every model.

One API. Every model.

Start shipping.

Start shipping.

Replace your AI glue code with a single SDK. Get started in under five minutes.