Nothing leaves the building
The models run on your own hardware, in your office. Documents, email and prompts are processed locally — designed so your data never goes to an outside cloud.
Offering 03 — Private AI, In Your Office
Private AI, installed in your office
Your own AI, running on a machine we build and install on your premises. Your documents, emails and prompts stay inside the building — so confidential and regulated work can use modern AI without anything going to an outside cloud.
In short
A private AI system is your own AI running on a machine we build and install in your office. Your data never leaves the building — ideal for law firms, clinics and finance. We deliver the hardware, set up the models, integrate your tools and documents, and train your team.
Nothing leaves the building
Cloud AI tools are easy to start with, but they work by sending your text to someone else's servers. For a lot of businesses that's a non-starter: a law firm can't paste privileged documents into an outside chatbot, a clinic can't upload patient notes, an accountant can't forward client financials to a third party. A private in-office system removes that problem entirely. The AI runs locally on hardware we install on your premises, and every request, file and answer is processed on that machine instead of being uploaded anywhere.
Why a private system makes sense
Fully integrated
Connected to your documents, email and internal tools, so staff can ask questions of your own material and get answers grounded in your real files.
Set up end to end
We deliver and install the hardware, load and tune the models, wire it into your systems, and train your team to use it. You don't assemble anything.
Who it's for
Private AI is built for businesses that are confidential or regulated by nature — places where keeping information in-house is a requirement, not a nice-to-have. We focus on three industries where on-premise processing matters most:
- Law firms — drafting, document review and searching matter files while keeping privileged client information inside the firm.
- Clinics & healthcare — summarising notes, answering questions and handling paperwork on patient records that can't go to the cloud.
- Finance & accounting — working through sensitive financial documents, statements and client data without exposing them externally.
Because processing happens on hardware you control, an on-premise system is built to support your confidentiality, privilege and HIPAA obligations as a serious consideration. We don't claim certifications on your behalf — what we provide is an architecture where your data stays in your building, which makes meeting those obligations far more straightforward.
On-premise vs cloud
On-premise and cloud AI both have a place. Cloud is quick to set up and easy to scale when your data isn't sensitive; on-premise keeps everything in-house and is the right choice when regulation or confidentiality means data simply can't leave your network. If you're weighing the two, we break down the trade-offs — cost, control, privacy and maintenance — on our dedicated guide: on-premise AI vs cloud AI.
What it can do
- Runs on your hardware
- Local AI models
- Document Q&A
- Email & internal tools
- Drafting & summarising
- Private search
- On-site install
- Team training
How we build it
We work in stages so you see a working system early and know exactly what you're paying for before the next step.
- Discovery. A free call to understand your work, your data and your obligations. We tell you honestly whether on-premise is right for you.
- Spec & quote. We size the hardware and models to your team and workload, then give you a fixed quote — no surprises.
- Build & install. We build the machine, load and tune the models, connect your documents and tools, and install it on-site.
- Train & support. We train your team to use it day to day and stay available to tune and maintain the system as your needs change.
Why Handles Itself
You work directly with the senior engineers who design and install your system — engineers with MSc degrees in Computer Science and years of experience shipping production systems. No account managers, no outsourcing, no hand-offs. The same people who understand your confidentiality requirements are the ones building and securing the machine, which matters a great deal when the whole point is that your data stays in your hands. We're based in Los Angeles and work with clients across Greater LA, Southern California and remotely, in English and Hebrew.
Frequently asked questions
What is a private, on-premise AI system?
A private, on-premise AI system is your own AI running on a machine we build and install in your office. The models, your documents and every request stay on hardware you control, inside your building, instead of being sent to an outside cloud service. You get modern AI — answering questions, drafting, summarising and searching your own files — without your information ever leaving the premises.
Does my data ever leave the building?
No. The whole point of a private in-office system is that it is built so your data never leaves the building. The AI models run locally on the machine we install, and your documents, emails and prompts are processed on that hardware rather than uploaded to a third-party cloud. This is designed to support confidentiality, privilege and privacy obligations, though specific compliance always depends on your own policies and configuration.
Who is private AI for?
Private AI is for businesses that are regulated or confidential by nature and can't comfortably send their files to an outside cloud. The most common are law firms handling privileged client matters, clinics and healthcare practices working with patient records, and finance and accounting firms handling sensitive financial data. If keeping information in-house is a requirement rather than a preference, an on-premise system is the right fit.
What hardware do you install?
We specify and build a dedicated machine sized for your workload and the size of your team, then install it on-site. The exact components depend on how many people use it and how heavy the models need to be, so we scope the hardware after a discovery call and give you a fixed quote. You own the machine, and we set it up, secure it and tune it so it runs reliably in your office.
Can it connect to our existing tools and documents?
Yes. A private system is most useful when it knows your own material, so we connect it to your documents, email and internal tools and let staff ask questions of that content directly. Because the integration runs on the in-office machine, your files are made searchable and usable by the AI without leaving your network.
Is on-premise AI better than cloud AI for us?
It depends on your obligations. On-premise AI keeps everything in-house and is the right call when confidentiality or regulation means data can't go to an outside service; cloud AI is simpler to start with and scales easily when your data isn't sensitive. We compare the two in detail on our on-premise AI vs cloud AI page, and during a discovery call we'll tell you honestly which one fits your situation.
Bring modern AI in-house without sending your data out.
Book a free discovery call and we'll tell you honestly whether a private in-office system is right for you — and what it would take to build.
Book a private AI consult