Hosted AI for Regulated Industries

On-premise AI that runs inside your network. No external API calls. No data leaving your building. Built for industries where compliance isn’t optional.

The Problem

Your team sees what AI can do. They want it. But you’re in a regulated industry — legal, healthcare, financial services, government, defense, insurance, accounting — and the compliance requirements are non-negotiable. HIPAA. SOX. ITAR. CJIS. Data residency mandates.

Cloud AI services like ChatGPT and Claude send your data to external servers you don’t control. For most businesses, that’s fine. For yours, it’s a liability.

Hosted AI / Resident AI

Command Module deploys AI systems that run entirely inside your infrastructure. We call it Resident AI — because it lives in your building, on your servers, behind your firewall.

Industries We Serve

• Legal — document review, contract analysis, case research without exposing client data to third parties  Learn more →
• Healthcare — clinical documentation, patient intake automation, medical record analysis under HIPAA  Learn more →
• Financial Services — risk analysis, compliance monitoring, report generation under SOX and SEC requirements  Learn more →
• Government & Defense — intelligence analysis, document processing, and workflow automation under ITAR and CJIS  Learn more →
• Insurance & Accounting — claims processing, audit preparation, and financial analysis with full data privacy

How It Works

1. Assessment. We evaluate your infrastructure, compliance requirements, and the specific AI capability you need. Not every problem needs hosted AI — we’ll tell you honestly if a cloud solution would work fine.

2. Architecture. We design the deployment — model selection, hardware requirements, integration points with your existing systems, security architecture.

3. Deployment. We install, configure, and test the system on your infrastructure. Your IT team gets full documentation and access.

4. Training & support. We train your team on the system and provide ongoing support. The AI works for your people, not the other way around.

What Drives the Cost

No two Hosted AI deployments cost the same, and anyone quoting a flat price before understanding your environment is guessing. These are the factors that actually move the number:

• Model and hardware — the size of the AI model sets the hardware requirement. A focused, single-purpose tool can run on a single workstation-class server; an organization-wide assistant reasoning over millions of documents needs dedicated GPU hardware.
• Scope of the job — one workflow for one team costs less than an assistant that serves the whole organization. Most deployments start narrow and expand once the first tool proves itself.
• Integrations — every system the AI reads from or writes to (document management, EHR, CRM, case management) adds integration work. The count matters more than the complexity.
• Compliance envelope — standard on-premise deployment, private cloud, or fully air-gapped. The stricter the isolation, the more architecture and documentation the deployment carries.
• Training and support — from documentation-and-handoff to ongoing support and tuning as your team’s use grows.

The assessment is free and tells you exactly where your deployment lands on each of these — you’ll know what it costs before you commit to anything.

Why Command Module for Hosted AI

Most AI vendors are cloud-first companies trying to retrofit an on-premise option. Command Module built Hosted AI from the ground up for environments where data can’t leave the building. The founder, Tony Eggleston, has been working hands-on with applied AI since 2023 and ships production AI products — including Wall Street Analyst, an AI platform he trusts with his own capital.

Want proof the local-AI architecture works? TextLife — our consumer Mac app — runs its AI entirely on-device, with nothing ever transmitted. If it can run where your messages live, it can run where your case files live.