Your data stays yours
Models run on your devices and your servers. Prompts, docs and customer records never go to OpenAI or any other AI provider. Compliance comes built in.
Private AI for companies
Own your AI.
Your AI. Your infra. Your data stays home.
We build AI into your product (chatbots, virtual assistants, document processing) and run it on your own devices and servers, so nothing goes to OpenAI or anyone else. It’s faster, and you pay a fixed cost that’s 5–10× lower than per-token APIs.
0 bytes sent to OpenAI10–50× fasterfixed monthly cost
Adopt AI without handing over your data, or your budget.
The usual way to adopt AI: send your data to a frontier model and pay per token, forever. We run the models where your data already lives, on your users’ devices and your own backend. Private, faster, fixed-price.
Faster by default
The model sits next to your data, on the edge or in your backend. No round-trip to someone else's API, no rate limits, no waiting behind their other customers.
10–50× faster on core tasks
Our compute primitives return a typed answer (a label, a field, a ranking) instead of a wall of text. For those jobs they beat frontier models by 10–50×.
Fixed cost, 5–10× lower
We split the work between edge devices and your backend. No per-token billing: you pay a fixed amount, 5–10× below frontier APIs, and it stays flat as you grow.
Ask for an answer, not an essay.
Most business AI tasks don’t need a paragraph back. They need a label, a field, a ranking, a yes or no. Our compute primitives return exactly that, a typed value instead of a string, so they finish 10–50× faster than a frontier model writing it out.
10–50×
faster than frontier models
classifyOne label from your list, or “unsure”extractA value for each field you define, pulled from the inputrankYour items, reordered. Nothing inventedrouteOne action from your set. An intent, never a side effectframeShort text derived from the input, length-cappedmatchGroups of duplicates and look-alikesdetectSpans that hit a category: PII, secrets, toxicityverifySupported, contradicted or unclear, against your evidencescoreA grade on your rubric, no made-up numberschooseThe single best option for a criterion, or “unsure”
Each primitive is defined as data (a schema, parameters and test cases), so adding or tuning one for your business doesn’t mean rebuilding anything. More at computeprimitives.com ↗
New: Brink Cube
Your own AI box. Agents that are actually yours.
Don’t want to run servers? We’ll ship you an appliance built for AI agents. Plug it in, pair it from your phone, and your agents run on hardware you own, connected to the tools you already use.
pairs from your phone
Compute or Cube? Pick by what you’re doing.
You're building an app or product
→ Brink Compute
We build private AI into it, running on your users' phones and on your own servers.
For example: An AI chatbot inside your app that never calls OpenAI.
You want AI doing work for your team
→ Brink Cube
We ship you a box. Plug it in, and AI agents run on it, connected to the tools you already use.
For example: An agent that triages support emails and updates Linear overnight.
Built for agents, top to bottom
Purpose-built hardware and software for running AI agents 24/7. Not a repurposed mini PC or a cloud VM.
Plug in, pair from your phone
Connect it to power and your network, scan to pair, and deploy your first agent from the app.
Local first, cloud when you say so
Local models run on the Cube. Need a bigger model for one task? Route it out under rules you set, and everything else stays local.
Spend controls per agent
Set a budget for each agent, track every token that goes out, and get alerts before anything runs over.
200+ one-tap integrations
GitHub, Slack, Gmail, Linear, Notion, Google Drive and more. Connect with a tap instead of setting up OAuth apps.
Agents with their own identity
Give each agent its own email address and phone number, with 2FA, so it can handle support tickets and capture leads.
Everything in the app
Watch agents work in real time, deploy new ones and see spend from your phone.
Use it more. Pay the same.
We split the workload between edge devices and your backend, so there’s no meter running per token. Your cost is fixed and 5–10× lower than frontier APIs, and it doesn’t move when usage takes off.
Per-token API
Brink Compute
At 3× usage, the per-token bill is about 21× yours.
Illustrative. Your fixed price depends on the workload; we scope it with you up front.
| Compare | Frontier API | Brink |
|---|---|---|
| Where your data goes | A third-party AI provider | Your devices and servers |
| How you pay | Per token, metered | Fixed |
| Usage doubles | Your bill doubles | Your bill stays put |
| Core tasks | Writes text token by token | Typed answers, 10–50× faster |
On the edge
Your users' phones, laptops and desktops
iOS, Android, macOS, Windows and Linux, GPU-accelerated on each
In your backend
Your servers, on-prem or in your own cloud account, or a Brink Cube
Bigger models and shared workloads, inside your network
Already live in production.
Two apps you can download today. In both, the AI runs on the device itself, with no prompts sent to anyone’s cloud.
Example 1 · A client's app
An AI chatbot in a news app
Bitcoin News: Markets & AI
- What they wanted
- An AI chatbot (a virtual assistant) inside their app that summarises the news and answers market questions.
- What we built
- The whole assistant runs on the user's phone or PC with Brink Compute. No cloud AI behind it.
- What users get
- Instant answers, works in airplane mode, and no question ever leaves the device.
Markets AI
● running on this phone
Summarize today's Bitcoin headlines.
BTC is holding above support after ETF inflows ticked up. Two macro prints land this week, so watch for volatility.
Is this hitting a server?
Nope. I'm running locally on this device. Works in airplane mode too.
Example 2 · Our own app
A meeting note-taker that never uploads
Brink Debrief
- What it does
- Records a conversation, transcribes it, works out who said what and writes the summary and action items.
- What runs on the phone
- A speech model and a 0.5B language model, side by side, on iOS and Android.
- What users get
- Private meeting notes that work fully offline. Zero cloud calls.
Three steps to AI you own.
- 1
Map the work
We find where AI pays off for you (AI chatbots and virtual assistants, support triage, doc extraction, search, compliance checks) and what each task actually needs to return.
- 2
Split edge and backend
Each task becomes a compute primitive or a local model, placed on your users' devices, your servers or a Brink Cube based on size, speed and how sensitive the data is.
- 3
Run it on your infra
You get AI that's private, fast and fixed-price. Your data never leaves your control, and your bill doesn't climb with usage.
Bring your AI home.
Tell us what you want AI to do for your business. We’ll show you how to run it on your own infra, with your data staying put and a cost that doesn’t creep up.