01
Data never leaves the device
Inference runs locally, so prompts, documents and embeddings stay on the user's hardware. Nothing transits your servers — privacy and compliance by construction.
Edge compute · On-device AI · B2B
Compute at
the brink.
Brink Compute runs AI inference at the edge of the network — on the devices you already shipped. Private. Low-latency. Offline-capable. No cloud round-trip, no per-token bill.
fig.01 — edge node● live
§ 01 — Why the edgeThe cloud is a round-trip away.
The cloud is a round-trip away.
The edge is already in their hand.
Brink Compute is an on-device inference engine for B2B products. We embed real language models directly into your app, so the model runs at the brink of the network — the phone, laptop or desktop your user is already holding.
02
Sub-network latency
No request leaves the device, so there is no network round-trip to amortize. First token lands immediately — even on congested or high-latency links.
03
Resilient & offline-capable
The runtime and weights live on-device. Features keep working with no connectivity — planes, transit, rural coverage, air-gapped deployments.
04
Zero marginal inference cost
Compute is hardware you already shipped. Usage scales with your install base for free, instead of metering against a cloud inference bill.
§ 02 — Runtime
One runtime. Every platform.
Write the feature once. Brink Compute runs it natively across mobile and desktop, selecting the fastest GPU backend on each device and degrading gracefully when hardware is tight.
PlatformGPU backend
- iOSMetal
- AndroidVulkan / OpenCL
- macOSMetal
- WindowsCUDA / Vulkan
- LinuxCUDA / Vulkan
Specification
- Deployment
- On-device, embedded in your app
- Models
- Open weights, quantized & tuned per device
- Acceleration
- Native GPU per platform, graceful CPU fallback
- Data egress
- None — inference is fully local
§ 03 — In production
Shipping today inside Bitcoin News: Markets & AI
The app’s AI assistant — chat, news summarization and market Q&A — runs entirely on Brink Compute. The model lives on the device, so answers are instant, work offline, and no prompt ever touches a server.
9:41◢ on-device
Markets AI
● running locally
Summarize today's Bitcoin headlines.
BTC is holding above support after ETF inflows ticked up. Two macro prints land this week — watch for volatility.
Is this hitting a server?
No — inference is running locally on this device. Works in airplane mode.
ask anything…
↑§ 04 — Engagement
From workload to shipped — in three steps.
01
Profile the workload
Chat, summarization, search, classification, agents — we map what your product needs an LLM to do, and the device envelope it has to run in.
02
Embed the runtime
Brink Compute drops in as a native module. We select model, quantization and GPU backend per platform, and wire up graceful degradation.
03
Ship edge-native AI
Your users get fast, private, offline inference at the brink of the network. You ship without standing up — or paying for — inference servers.
Get in touch
Bring compute to the brink.
Tell us the workload. We’ll work out how to run it privately, on-device, across every platform you ship to.