Local AI & Data Sovereignty
AI that never leaves your building.
We set up AI that runs on hardware you own, in your office. Your team gets the same kind of help with reading, searching and drafting, and your clients' data never goes to an outside AI service.
Your most useful data is the data you can't send out
Cloud AI tools work by sending your text to someone else's servers. For a lot of companies that's fine. For healthcare, legal, financial and government work, and anyone who has promised clients confidentiality, it often isn't.
Client confidentiality
Patient records, case files and client finances can't be pasted into a public chatbot, so staff either do the work by hand or quietly take the risk.
Rules and contracts
Regulations and client agreements often say where data can be stored and who can process it. Many cloud AI services don't fit.
Your competitive edge
Your pricing, processes and customer history are what make you different. They belong on your hardware, not in someone else's data center.
Example: appeals at a medical billing firm
Imagine a medical billing firm in Northern Colorado. When a claim is denied, a biller digs through payer rules, the denial letter and past appeals, then writes a new appeal from scratch. It's exactly the kind of work AI is good at, but every document contains patient information, so a cloud chatbot is off the table.
We'd bring the AI to the data instead.
- A right-sized computer in their office runs an open AI model. It has no connection to any outside AI service.
- It indexes their own payer rules, templates and past appeals, so billers can ask questions in plain English and get answers with sources.
- For each denial, it drafts an appeal based on what has worked before. A biller reviews, edits and sends it. Nothing goes out without that review.
- Access follows the firm's existing permissions, and the documents never leave the office network.
Same billers, same files, and the patient data stays in the building.
What we set up
Everything runs on equipment you own and control, sized for the job you actually need done.
Hardware
In your office or your own server room
- Recommend a machine sized to your workload and budget
- Install and configure it on your network
- Keep it off the public internet where it needs to be
Models
Open models you can run yourself
- Choose open models such as Google's Gemma that fit the task
- Run them with local tools like Ollama
- Test them on your real documents before you rely on them
Your documents
Private search and drafting
- Search across files by meaning, not just keywords
- Answers that point back to the source document
- First drafts of letters, summaries and reports for review
Upkeep
So it keeps working after launch
- Access controls that match who should see what
- Updates, backups and monitoring
- Documentation your IT person or provider can follow
Local isn't always the right answer. If your data isn't sensitive, a cloud model may be cheaper and more capable, and we'll tell you so.
How an engagement works
Assess
We look at what data you have, what rules apply to it, and which task is worth doing first.
Prove it
We run the AI on a test machine with your real documents, inside your office, so you see how well it works.
Deploy
We install the hardware, connect it to your files and set up access controls.
Hand off
We train your staff and document how it works, so your team or IT provider can look after it.
Private AI engagements typically take three to six weeks and range from $14,000 to $28,000, depending on how many workflows we set up and how many people will use the system. Hardware is purchased separately and stays your property. A single dedicated AI computer starts at around $5,000; larger teams or heavier workloads may need more capacity, and we'll specify exactly what you need before you buy anything.
Your people stay in charge
The AI does the searching and the first drafts. Your team keeps the judgment, and you keep the data.
- Your data stays on your hardware. No cloud AI services, no third-party processing.
- A person approves the result. Nothing reaches a client, a payer or a court without someone on your team signing off.
- Access follows your rules. People only see through the AI what they could already see in your files.
- No lock-in. You own the equipment, the models are open, and everything is documented.
Further reading
Find out what could run in-house
Tell us what kind of data you work with and what slows your team down. We'll tell you whether local AI makes sense, and what a realistic first project would look like.
We work with companies in Fort Collins, Loveland, Greeley, Windsor and Longmont.