Your data is too sensitive
for cloud AI. We put the AI in your building.
Private LLM systems deployed on hardware you own — for law firms, medical practices, financial advisors, and any business that can't afford to send sensitive data to someone else's server. Built and managed from North Idaho.
The Risk
Right now, someone on your team is putting sensitive data into ChatGPT.
Not because they're careless — because nobody told them not to. They're using ChatGPT, Claude, or Gemini to draft faster, summarize documents, and answer questions. And they're sending your client files, financial records, medical data, and privileged communications to a third-party server you don't control.
This isn't hypothetical. Companies have already faced lawsuits, regulatory fines, and criminal exposure because of exactly this. HIPAA violations start at $100K per incident. An NDA breach lawsuit is often six figures or more. Attorney-client privilege violations can end careers.
The solution isn't to ban AI — your competitors are already using it and pulling ahead. The solution is to run AI on infrastructure you own, where your data never leaves your building.
The System
A private AI system. On hardware you own. In your building.
We deploy a Mac Mini running open-source AI models in your office, connected to a custom portal your team accesses from their browser. Sensitive data is processed locally — it never touches the internet. Non-sensitive tasks route to cloud AI for maximum quality. Your team gets AI superpowers. Your compliance officer sleeps at night.
Private AI Foundation
A Mac Mini with open-source LLMs, security hardening, a web portal for your team, and the hybrid routing layer that decides what stays local and what goes to the cloud. This is the base every deployment starts from.
Contract & Document Review
Upload a contract, get a full analysis in 30 seconds. The AI reads every clause, flags deviations from your standard terms, identifies risks, and generates a summary. All processing happens on your Mac Mini — the document never leaves your building.
AI Receptionist
Answers every call 24/7, qualifies the caller, runs intake, books appointments, and pushes structured data into your CRM. Your leads stop falling through the cracks. Runs on managed cloud infrastructure (not the local Mac Mini) since it handles inbound public calls.
Client Intake Automation
New client fills out a form or calls in. The AI extracts key facts, checks for conflicts, classifies the matter, assigns it to the right person, and creates the file in your existing software. Intake processing drops from 45 minutes to 5 minutes.
Institutional Memory
Every meeting transcript, client call, case note, and internal decision gets processed and stored in a local knowledge base. Any team member can search your firm’s entire history with a question. Knowledge stops walking out the door when employees leave.
Document Drafting
Select a document type, provide key parameters, and the AI generates a first draft based on your own templates and style. Sensitive documents draft locally. Generic templates route to cloud AI. Your team gets 80% of the way there in 2 minutes instead of 45.
Compliance & Deadline Monitoring
The AI tracks deadlines across every active matter — filing dates, statute of limitations, renewal dates, regulatory deadlines. Alerts fire at 30 days, 7 days, and 24 hours. The number one source of malpractice claims is missed deadlines. This eliminates that risk.
Who This Is For
Built for industries where data privacy isn't optional.
Private AI infrastructure for businesses handling regulated, privileged, or competitively sensitive data.
Accounting & CPA Firms
Tax records and client financials are both privileged and commercially devastating if leaked.
Insurance Agencies
Claims data, medical records, and investigation reports require airtight handling.
Real Estate Brokerages
Transaction files and client financials plus NorthPulse market intelligence.
HR & Staffing
Employee records, compensation data, and background checks are EEOC/ADA territory.
The Process
From audit to production in weeks.
No 6-month implementations. No committee approvals. No PDF-only deliverables. You get a scoped proposal and a working prototype before you commit to a build.
AI Operations Audit
$3,500 (credited to build)We send a questionnaire, run a 90-minute discovery session, then spend 48 hours researching your operations, designing your system architecture, and building a working prototype. On the delivery call, you see the prototype running live. You also get a written report, security assessment, AI usage policy for your team, data classification framework, and a build proposal with exact pricing. If you don't move forward, you keep everything. If you do, the $3,500 is credited toward your build.
~3 business daysBuild & Deploy
Starting at $18,000We procure and deploy the Mac Mini in your office (hardware at cost, ~$1,700), install and configure the AI models, build your custom web portal, integrate with your primary CRM or practice management software, configure the hybrid routing layer, set up Docker sandboxing, firewall rules, audit logging, and credential isolation, and train your staff. Additional modules are $5,000 each. AI Receptionist is $7,500. Typical first engagement: $26,000–$33,000 including modules. Full audit fee credited.
1-2 weeks14-Day Hypercare
IncludedDedicated support channel with your team. We tune prompts based on real usage, fix edge cases, adjust workflows, expand capabilities as your team builds trust with the system. This is where the system goes from “new tool” to “how did we work without this.”
14 days post-launchManaged Services
$2,997/moMonthly model updates, prompt tuning, system monitoring, security patching, and a monthly performance report for leadership showing documents processed, calls handled, time saved, and recommendations. Roughly 10 hours of dedicated engineering per month. The system gets smarter every month — not because of AI magic, but because we’re actively refining it based on how your team uses it.
OngoingYour Investment
Two ways to start.
Both include a working prototype of your first automation — not just a PDF report.
AI Operations Audit
Audit + On-Site Assessment
Private AI deployments start at $18,000 for the foundation platform. Additional modules $5,000 each. AI Receptionist $7,500. Hardware at cost. Managed services: $2,997/mo.
Full audit fee credited toward your build. 7-day money-back guarantee. We schedule a free 15-minute call first to make sure we're a fit — no pressure, no pitch.
Proof of Build
We don't pitch decks.
We deploy systems.
Live platforms, automated pipelines, and private AI infrastructure — running in production right now.
NorthPulse
A municipal intelligence platform we built for the Kootenai County corridor. Scrapes 32+ government data sources, processes them through an AI analysis layer, and surfaces development intel, zoning changes, and permit activity in real time.
Regional Law Firm
12-attorney firm · Real estate, business formation & estate planning · Inland Northwest
This firm was losing 25+ hours per week across their team to contract review, client intake processing, and internal document search. Their attorneys billed $325/hr on average but spent nearly a third of their day on non-billable admin work — reading contracts page by page, manually entering intake data into Clio, and digging through years of case files to find prior work product. Worse, multiple paralegals were using ChatGPT to draft documents and summarize case notes, sending privileged client data to OpenAI's servers without the partners knowing. We deployed a private AI system on a Mac Mini in their server room — running local LLMs for all privileged document processing, integrated directly with Clio, with a custom portal their entire team uses daily. Contract review that took 90 minutes now takes 30 seconds. Client intake processing dropped from 45 minutes to under 5. And zero bytes of client data have touched an external server since deployment.
Commercial General Contractor
35 employees · Commercial construction · CDA / Spokane corridor
This firm was spending 15-20 hours per week on bid preparation alone — pulling specs from architect plans, comparing subcontractor pricing, writing scope narratives, and assembling submission packages. Their bid data is the most competitively sensitive information in the company — a competitor seeing their pricing means losing every project. They couldn't use any cloud AI tool for bid work, which meant their estimators were doing everything manually while competitors with less sensitive data moved faster. We deployed a private AI system on-site that reads architectural plans and specs, extracts scope requirements, compares against their historical bid library, flags pricing anomalies in sub bids, and drafts RFI responses. The estimating team now assembles a complete bid package in a fraction of the time, and every document stays on hardware they own. We also built a contract change order tracker that monitors active projects and flags scope creep before it becomes a margin problem.
Client identities are confidential by policy. We protect our clients' information the same way we protect their data — it doesn't leave our hands without explicit permission.
What makes this different
Most AI companies sell you access to their cloud. We deploy infrastructure you own. Most consultants deliver a PDF. We deliver a working prototype on the delivery call — and a production system in your office two weeks later.
Who We Are
Meet Kyle Cunningham
Northline was founded by Kyle Cunningham — a software engineer who has been working in machine learning and AI since 2021, building production systems where reliability and data integrity aren't negotiable. That background shaped a core conviction: the businesses that benefit most from AI are often the ones that can't responsibly use cloud-based tools. Their data is too sensitive, too regulated, or too competitively valuable to hand to a third party.
That's the problem Northline exists to solve. We deploy private AI infrastructure — on-premise LLMs running on hardware you own, integrated with your existing tools, managed so the system gets smarter every month. Law firms, medical practices, financial advisors, government contractors — organizations where a data breach isn't just embarrassing, it's a career-ending liability. We give them the same AI capabilities their competitors have, without the compliance risk.
Based in Coeur d'Alene, Idaho, serving the Inland Northwest and beyond. No account managers, no offshore teams, no subcontractors. When you hire Northline, you get the person who designs the architecture, configures the models, deploys the hardware, and picks up the phone when you call.
Your data is too sensitive
for cloud AI. Let's fix that.
We start every engagement with a quick call to understand your business and confirm the audit is a fit. No pitch, no pressure — just a 15-minute conversation to see if private AI infrastructure makes sense for your operation.
AI Operations Audit: $3,500 · On-Site Assessment: $5,000
Full audit fee credited toward your build.
7-day money-back guarantee · Delivered in ~3 business days