Honolulu, Hawaiʻi · Private LLMs, built on-island

Your data shouldn't have to cross an ocean to ask a question.

Every prompt your team sends to a mainland cloud AI travels roughly 2,400 miles — along with whatever's in it. ComplyHI builds custom large language models — LLMs, the technology behind everything marketed as "AI" — that run on your hardware, in your office, under your control. Nothing leaves the island unless you say so.

CLOUD AI · ~2,400 MILES EACH WAY your contracts · client records · pricing · CUI MAINLAND DATACENTER YOUR SERVERS · OʻAHU COMPLYHI · 0 MILES
Data round-trip with cloud AI: ~4,800 mi With ComplyHI, your data stays under the rainbow: 0 mi
The problem with renting AI

Cloud AI is convenient — right up until compliance, cost, or a client asks where the data went.

If your business touches HIPAA records, donor data, attorney-client material, or controlled unclassified information, "we pasted it into a chatbot" is not an answer you want to give an auditor.

Cloud AI subscriptions

Your data leaves. Prompts, files, and context travel to mainland servers governed by someone else's terms of service.

Per-seat, forever. $30–60 per user per month, compounding as your team grows, with pricing you don't control.

Generic by design. The model knows the internet. It doesn't know your price book, your SOPs, or your grant history.

Compliance is your problem. Most consumer AI tools are not HIPAA, CMMC, or FedRAMP appropriate out of the box.

A ComplyHI local LLM

Your data stays. The model runs on hardware you own or a private environment you control. Air-gapped if you need it.

Own the asset. One build, predictable support. No per-seat meter running on every employee.

Trained on your business. Your documents, your terminology, your workflows — securely indexed so the model answers like your best employee.

Compliance is the design. Built by a CISSP who does this for defense contractors. Audit trail included, not bolted on.

Why we say "LLM," not "AI"

What's being sold as artificial intelligence is, under the hood, a large language model — software that predicts language, remarkably well. It isn't intelligent, and pretending otherwise is how businesses get burned. We use the accurate term because knowing what the tool actually is — and isn't — is the foundation for deciding what it should and shouldn't do in your organization.

What we build

Custom LLMs that work for your business — not the other way around.

01 · Private assistants

On-premises LLM assistants

Open-weight language models deployed on GPU hardware in your office or private cloud, tuned to your documents and workflows. Your team gets a ChatGPT-class assistant that has actually read your files — and can't leak them.

02 · Document intelligence

Search that actually finds things

Decades of proposals, contracts, drawings, policies, and case files made instantly searchable in plain English. Ask "what did we bid on the last three projects like this?" and get an answer with sources.

03 · Workflow automation

Language models in your daily operations

Quoting, intake, report drafting, donor correspondence, compliance checklists — the repetitive work your staff shouldn't be doing by hand, automated with human review built in at every step.

Who it's for

Built for Hawaiʻi organizations where data privacy isn't optional.

Distribution & logistics

Pricing, supplier terms, and margin data are competitive weapons. Get LLM-driven quoting and inventory intelligence without handing your cost structure to a third party.

Nonprofits & foundations

Donor records and beneficiary data deserve the same protection as medical files. Draft grants, reports, and appeals with a model that never exposes the people you serve.

Professional services

Law, accounting, healthcare, engineering — fields where confidentiality is the product. A local model keeps privilege, PHI, and client files where they belong.

Government & defense contractors

CUI can't go to consumer AI, full stop. We design LLM systems inside CMMC and NIST 800-171 boundaries — because we build and operate them for our own defense work.

Works with your stack

Keep your MSP. Keep your tools. Add a model that reads them.

A private LLM isn't a rip-and-replace project. It sits alongside the systems your IT team or managed service provider already runs — reading tickets, alerts, and documents where permissions allow, and never phoning home. We build with these platforms every day, in our own production environment.

RMM · NinjaOne, Datto, Kaseya

Alert & patch intelligence

Turn a wall of RMM alerts and patch reports into a plain-English morning digest: what broke, what's at risk, what to do first — grounded in your own runbooks.

PSA · ConnectWise, Autotask, Zendesk

Ticket drafting from your KB

The model reads your knowledge base and ticket history, then drafts responses in your voice with sources cited. Techs review and send — nobody starts from a blank page.

Microsoft 365 · Commercial & GCC High

Your tenant, securely indexed

SharePoint, Teams, and email searched in plain English, honoring your existing permissions. We deploy inside government tenants too — GCC High is our home turf, not an asterisk.

SIEM · Wazuh, Splunk, Sentinel

Security alerts, translated

Log noise and SIEM alerts explained in language a business owner can act on. Your on-prem model triages locally, so security telemetry never becomes someone else's training data.

Storage · TrueNAS, Windows File Servers, SharePoint

Decades of files, searched in place

Project archives, contracts, and drawings indexed where they live. Ask a question, get an answer with the source document — no migration, no upload to a third party.

Line-of-business · ERP, CRM, custom apps

APIs and databases, connected

Quoting systems, inventory, donor databases — if it has an API or a database, the model can read it. We build the integration and keep the data flow inside your boundary.

Run an MSP or IT consultancy?

Your clients are already asking about AI, and the honest answer involves an LLM you can stand behind. Partner with ComplyHI to offer private models under your brand — we handle the model engineering and hardware sizing, you keep the client relationship and the recurring revenue.

Talk partnership
How it works

From "we should probably do something with AI" to a working system.

Step 1 · Assess

Free LLM readiness assessment

We sit down (in person — we're local) and map where a language model actually saves you money, what data is involved, and what your compliance obligations require. You get a written plan whether you hire us or not.

Step 2 · Build

Design, tune, and deploy

We size the hardware, select and tune the right open-weight models, securely index your documents, and integrate with the tools you already use. You review everything before it touches production data.

Step 3 · Run

Train your people, support the system

Your staff learns to use it well and safely. We handle updates, model improvements, and monitoring — or train your IT team to own it entirely. It's your system either way.

Who's behind this

Built by someone who runs this stack in production — for a defense contractor.

ComplyHI is led by Tim Ames, CISSP, and a team of Honolulu-based engineers with deep roots in managed services, government contracting, and enterprise infrastructure. We design and operate hybrid LLM platforms — on-premises GPUs running open-weight models alongside commercial APIs — for organizations operating under CMMC, SOC 2, PCI-DSS, and HIPAA requirements.

That's the point: everything ComplyHI sells, we already run under stricter requirements than most businesses will ever face. This isn't a reseller pitching someone else's cloud. It's a local engineering team that builds these systems, on-island, and answers the phone when you call.

"People first, AI second."

Language models should make your people faster and your business safer — not replace judgment, and never at the cost of your data. Every system we build keeps a human in the loop and your information under your roof.

  • CISSP — Certified Information Systems Security Professional
  • CCIE & MCSE certified infrastructure engineer
  • Designs FRCS cybersecurity for DoD facilities (NAVFAC / USACE)
  • Operates production on-prem LLMs (NVIDIA GPUs + open-weight models)
  • CMMC / NIST 800-171 practitioner, not just consultant
  • SOC 2 and PCI-DSS compliance engineering across client environments
  • Based in Honolulu — serving all islands
Get started

Talk story about what a language model could do for your organization — and what it should never do with your data.

The readiness assessment is free, in person, and comes with a written plan. Worst case, you walk away knowing exactly where you stand.

Start a conversation

Mahalo! We'll be in touch within one business day.

Serving Oʻahu · Maui · Hawaiʻi Island · Kauaʻi · Remote-secure statewide

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