Private On-Premise AI Solutions
A private AI brain for your office. We design, build, and manage dedicated AI systems that run entirely on hardware inside your building. Your documents, client data, and conversations never leave your network, and every answer cites its sources so your team can verify it.
- No outbound traffic
- Private chat
- Private data
- Cited answers
- Fully encrypted
- HIPAA ready
Sentinel Labs ran the Q3 audit. The contract renews on March 1, 2027, with a 60-day notice window.
What makes this different
- On-Premise
- Runs on your own hardware
- Zero
- Data leaves your network
- Cited
- Every answer shows its sources
- HIPAA
- Ready architecture, with a BAA
Capabilities
What the system does
A private chat for your team
A secure chat interface your team already knows how to use, with individual accounts, running on a server inside your office instead of a vendor’s cloud.
Answers from your own documents
Ask a question and get an answer drawn from your files, with the source documents cited so anyone can open them and confirm the answer is right.
Always current, nothing to upload
A document watcher notices new and changed files and keeps the system up to date on its own. Drop a file in the folder and it can answer questions about it the same day.
Drafting and summarizing
Draft letters and emails from your own precedents, summarize long reports and meeting notes, and pull key details out of documents, all in-house.
Locked down by design
The AI server sits on its own isolated network segment with outbound internet blocked at the firewall. It cannot phone home, send telemetry, or leak data, because there is no route out.
Accounts, roles, and audit logs
Individual accounts and role-based permissions keep HR files, contracts, and records visible only to the right people, with audit logging of who accessed what.
Why on-premise, why now
The trade-off finally makes sense
Two years ago, local models were too weak to trust with real work. That has changed. A single well-specified server can now handle document Q&A, drafting, and summaries for an entire office. You give up the raw scale of frontier cloud models, and in return you gain three things that matter: full control of your data, predictable cost with no per-token fees, and independence from any vendor’s policy changes.
Where Does Your Data Go?
Cloud AI
Your data leaves the building
Your documents
contracts, records, client files
The internet
out through your firewall
Vendor servers
third-party retention and policies
A third party processes and may retain your data
On-Premise AI
Everything stays inside your office
Your documents
on your own file share
Your AI server
local models on hardware you own
Your team
cited answers over your network
Outbound internet blocked at the firewall, nothing leaves
Technology
What’s inside
- Automatic document watcher
- Firewall network isolation
- Individual accounts & role-based access
- Managed maintenance
- On-site backups
- Open-weight local LLMs
- Retrieval-augmented generation (RAG)
- TLS + full-disk encryption
- Vector search
How We Work
How an engagement works
Five phases, and the first one is deliberately low-risk: no hardware is purchased until a working prototype has proven the use case.
We interview your team, gather sample documents, and build a working prototype you can watch answer real questions from your data. No hardware is purchased until the use case is proven.
We specify and procure a dedicated AI server sized to your team, then assemble, secure, and load-test it at our office. You own the hardware outright.
On-site installation, network isolation, and internal DNS (ai.yourcompany.internal), with verification that the system is unreachable from the internet.
We load your documents, tune answer quality, set up accounts and permissions, and train your team, including how to verify answers against their cited sources.
A check-in after a few weeks of real use, then ongoing managed maintenance: security patches, model upgrades, monitoring, and secure remote administration with your written sign-off.
Questions
Common questions
No. The AI server has no route to the internet: outbound access is blocked at the firewall, so it cannot phone home, send telemetry, or share data with any third party. Everything stays on your hardware, inside your network.
Yes. An on-premise system is one of the strongest architectures for protected health information, because no cloud AI vendor ever processes it. We build in role-based access, audit logging, and encryption, work only with de-identified sample data during discovery, and sign a Business Associate Agreement (BAA). The same approach protects attorney-client privilege, financial records, and anything under a strict NDA.
No. The first phase is deliberately low-risk: we prove the use case with a working prototype before any hardware is purchased, which also lets us size the server correctly.
We do, as a managed service, which makes this practical for offices without an internal IT team. You get the control of owning the system with none of the burden of running it.
The system always shows its sources and a person verifies. Every answer cites the documents it drew from, so your team can open them and confirm. We tune retrieval quality during onboarding and design extra review into any high-stakes outputs.
The best fit is a real body of documents, recurring questions about them, and data that cannot leave the building: law firms, medical practices, financial advisors, and agencies under NDA are common examples. If that sounds like you, an introductory meeting is the fastest way to find out.
Go deeper
The full story behind this service
Our announcement covers how an engagement works, the security architecture, and the questions we work through with you, in more detail.
A private AI brain for your office
Let’s find out what it can do for you
The first step is a short introductory meeting. We walk through your use cases and data, then a discovery phase produces a working prototype before you spend a dollar on hardware.
Book an Intro Meeting