Runs on a private AI box you own
One compact GB10-class device — 128 GB unified memory — runs it on-premise, sold and provisioned by us. No cloud API keys, no data leaving the building.
Run Flowise on a private AI box
License: source-available (not OSI)
A drag-and-drop builder for LLM and agent flows — wired to a model on your own box.
What it is
- A visual builder to assemble chains, agents, and RAG flows.
- A large node library, including chat and local-model nodes.
- Self-hostable for private use.
Flowise is source-available (an Apache-based license with commercial clauses), which we verify per release rather than blanket-calling it "open source".
Flowise is an independent project. BrainOutput has no affiliation, endorsement, or partnership with it — we sell the private hardware you can run it on. Project: Flowise.
Cloud API keys vs your private box
The tool is the same either way. What changes is where your prompts and files go, and how you pay.
| Cloud API keys | Your private box | |
|---|---|---|
| Data location | Prompts and files are sent to a third-party API | Everything stays on hardware in your office |
| Cost model | Metered per token — scales with usage, indefinitely | A fixed hardware cost — local inference is unmetered |
| Availability | Vendor uptime, rate limits, and model retirements apply | Runs offline; you control uptime and model versions |
| EU compliance | Data-transfer and processor terms to manage per vendor | EU hardware on your premises — sovereignty is physical, not contractual |
| Model choice | Whatever the vendor exposes | Any open-weight model that fits the box — swap freely |
Indicative hardware start prices are €3 650,22 HT (ASUS) / €4 328,25 HT (Dell); the full sovereign setup is sur devis.
How it connects to your box
Use Flowise's ChatOpenAI node with a custom BasePath, or the ChatLocalAI node, to reach your box.
- Set the ChatOpenAI node's BasePath to your box's OpenAI-compatible endpoint.
- Build flows whose LLM steps call your private model.
How BrainOutput fits
- We provide the device and the model endpoint your flows point at.
- Flow definitions and inference stay on your infrastructure.
Frequently asked questions
- Can Flowise use a local endpoint?
- Yes — the ChatOpenAI node's BasePath (or the ChatLocalAI node) can point at your box's endpoint for fully local flows.
- Is it open source?
- It is source-available under an Apache-based license with commercial clauses; we label it accurately rather than calling it open source.
- Good for prototyping agents?
- Yes — its visual builder is well suited to assembling and testing agent flows against your private model.
Run it on a box we set up for you
We size the device, install an OpenAI-compatible model stack, and hand you the endpoint this app points at. The app stays free and yours.