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Solution

AI for Regulated Industries

If your data is bound by HIPAA, GLBA, PCI DSS, attorney-client privilege or government rules, public AI APIs are often a non-starter. We build AI that runs where your data already lives, with controls your auditors will recognize.

LIVEimgori://sol-regulated
On-premor dedicated tenancy
Fullprompt and response audit logs
SSOand role-based access
Mappedto HIPAA, GLBA, PCI DSS
The challenge

What's getting in the way

Regulated teams face a choice between falling behind on AI and taking on risk they can't justify. Private deployment removes that trade-off, but only if it comes with logging, access control and documentation that stand up to an audit.

Regulators rarely prohibit AI. They require you to know where data goes, who can access it, how decisions are made and how you would prove it. A private deployment gives you direct answers to each question, because every component runs in infrastructure you control and every interaction is logged.

Our approach
  • Data stays put: models run on-prem or in your dedicated cloud tenancy
  • Audit trail: every prompt, response and model change logged to your SIEM
  • Least privilege: role-based access tied to your identity provider
  • Evidence pack: documentation mapped to your regulatory framework
How it works

The path we follow

01

Scope

Identify the data classes, regulations and approval bodies involved.

02

Design

Architecture with residency, access control and logging built in from the start.

03

Evidence

Documentation mapped to your framework for compliance and audit teams.

04

Operate

Change management and periodic review so the system stays compliant as it evolves.

FAQ

Common questions

Do you work with our compliance team?

Yes. We usually hold a joint design review with security, compliance and legal early in the project.

Can you sign a BAA?

Yes, for healthcare engagements where we may access PHI.

Next step

Find out what private AI would cost you.

A 45-minute call with an engineer, not a sales script. You'll leave with a rough architecture, a cost range and the next three steps.