Private AI infrastructure
Private AI. Installed where your data lives.
BrooksFlow designs, installs, and manages private AI systems for organizations with sensitive documents, compliance requirements, or internal knowledge that should not leave their control.
What BrooksFlow installs
ChatGPT-style tools — without sending sensitive work outside the business.
One system, three capabilities. Installed on hardware you control, behind a network boundary you can point to.
Private AI chat
Approved users get a controlled interface for internal questions, drafting, and workflow support — with named access and admin logging.
Private document search
RAG over approved documents with citations, evaluation checks, and explicit uncertainty. Answers point back to your own files.
Managed local stack
Ubuntu, Docker, model serving, vector search, storage, logging, access, backups, and support — operated so your team doesn't have to.
Model
local / open-weight
Search
private RAG
Access
VPN + roles
The install
Real hardware. A real boundary. Not another subscription.
Your models run on machines inside your walls or in infrastructure you control. Your documents are indexed locally. Access happens over a private network with named users. If you unplug it, it's off — that's the point.
0
business days to a roadmap
2–0 wks
to a working pilot
0
days of included support
0
data egress by default
Engagement path
Start with a roadmap. Prove one workflow. Then operate it.
Hardware is quoted separately and procured after scope approval. Managed service begins only after the pilot has a clear owner and measurable value.
Initial focus
Built first for law firms and home health operators.
Next: accounting, financial advisory, manufacturing, engineering, municipal departments, and CMMC-sensitive suppliers.View all industries
Security posture
Controls before scale.
Every workflow gets a documented boundary before it reaches users: what data is in scope, where it runs, who can touch it, and where humans stay accountable.
Review the security approach01
Data minimization
Only the data the approved workflow needs. Narrow scope beats broad access.
02
Private network access
Tailscale or WireGuard, internal-only model and data services, named users.
03
Human accountability
Qualified people stay responsible for legal, clinical, and financial decisions.
04
Documented operation
Data flows, access assumptions, review steps, and ownership on paper.
Next step
Start with one sensitive workflow and a clear data boundary.
Bring the workflow, the documents involved, and the reason public AI tools make you uncomfortable. BrooksFlow will help decide whether an assessment, pilot, or managed ops path fits.