Private AI on the servers you already have

Run production AI without GPUs or cloud bills.

BAI installs a complete retrieval and inference stack on your existing CPU servers, so your team can search, query and build on your own documents and data, without buying GPUs, hiring an AI team, or sending data outside your network.

Runs on CPU serversBring any modelYour data stays in-house

Why teams choose BAI

Production AI on hardware you already own.

Most teams assume AI means GPUs, per-token bills and sending data to someone else's cloud. BAI takes a different path: start on the servers you have today, keep costs flat as usage grows, and move to GPUs only when you're ready.

Costs that stay flat

One setup fee and a flat maintenance fee. Your bill doesn't grow every time a user asks another question.

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Your data, your model

Documents, queries and answers stay inside your network. Use the open model you prefer, and swap it whenever a better one comes out.

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No GPUs required

BAI's inference engine is optimized for CPUs, so you can run AI on the servers in your data center or cloud account today. Plug it in, no specialized AI team needed.

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How BAI gets installed

The same product. Inside your infrastructure.

Not a hosted API you rent from us, and not a custom science project. A dependable AI layer that meets your team where it is.

Ready for your environment

Private inference

Production-ready model serving, tuned for your workload and your hardware.

Retrieval that knows your business

Connect documents, databases, and internal knowledge without moving them elsewhere.

A system your team owns

One secure layer for retrieval, inference and the models you choose.

Connect what is already there

From APIs to legacy applications, BAI fits the systems that keep your business moving.

Who it's for

For teams building what comes next.

Whether you are shipping your first copilot or scaling an AI-native product, BAI gives your team the control to move with confidence.

Find your fit
01

AI-native companies

Cut your inference bill by moving retrieval and inference onto servers you control.

02

Enterprise AI teams

Own the economics behind your product as users and usage multiply.

03

Regulated organizations

Keep sensitive workflows and data within the boundaries your customers expect.

04

Teams starting their AI journey

Start with AI on the servers you already have, then grow into GPUs when you're ready.

A different pricing philosophy

Own the runtime. Lose the surprise.

No per-token metering, ever. Pay a fixed setup cost to install the stack and a flat maintenance fee to keep it running—not a bill that grows every time your product gets used more.

Monthly cost, same volume

Metered cloud API$1,500/mo
BAI on your servers$400 flat

Illustrative, same volume. Real savings depend on your workload and hardware.

Ask about partner pricing

“The goal isn't to use less AI. It's to make every unit of intelligence yours.”

— BAI AI team

Fixed setup, flat maintenance
No per-token billing
You own the runtime
Reduced rate for early partners

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Ready to make AI yours?

Tell us about your workload and we'll show you what a private, predictable AI stack could look like.

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