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STATUS: ENCRYPTED

PRIVATE AI FOR
SENSITIVE
ORGANISATIONS

AIRGAP LLM is a Melbourne-based consultancy that deploys private AI and local LLM systems for organisations handling sensitive data. We design, implement, and support local LLM and secure document-search solutions for law firms, accounting firms, healthcare providers, wealth firms, and government-sensitive teams — without sending confidential internal data to public AI platforms.

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Deploy AI within your controlled environment, aligned to your security requirements.

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Fast search and question-answering across sensitive internal documents.

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Specialist deployment, retrieval quality, and operational maintenance support.

AI brain visualization representing local LLM deployment
LOCAL KNOWLEDGE QUERY INFERENCE: ON-PREM

QUERY: "Search internal policy and financial records from 2014–2024"

SOURCE: INTERNAL DOCUMENT INDEX ACCESS: ROLE-RESTRICTED

PUBLIC AI TOOLS ARE NOT DESIGNED FOR EVERY RISK PROFILE

For firms handling privileged, financial, clinical, or operationally sensitive information, public AI tools can introduce data handling, governance, and oversight concerns that need careful review before adoption.

RISK CARD 01

EXTERNAL DATA EXPOSURE

Sensitive prompts and internal material may pass through external platforms, creating uncertainty around handling, retention, and downstream risk.

RISK CARD 02

LIMITED ENVIRONMENT CONTROL

You may not control where workloads run, how systems are configured, or how tightly access can be aligned to your internal environment.

RISK CARD 03

POLICY AND COMPLIANCE PRESSURE

Legal, healthcare, financial, and government-adjacent teams often need stronger internal review before using third-party AI tools with sensitive data.

RISK CARD 04

WEAKER AUDITABILITY

Generic public AI usage makes it harder to enforce consistent workflows, review usage boundaries, and manage sensitive document access.

[ DELIVERY MODEL ]

PRIVATE AI DEPLOYMENT PROCESS

A structured engagement for organisations evaluating local LLM deployment and secure document-search capabilities.

01

Assess

We review your use case, document types, sensitivity profile, internal constraints, and operational goals.

02

Design

We define the deployment approach, access model, retrieval architecture, and implementation scope suited to your environment.

03

Build

We configure the local LLM or private document-search workflow, prepare the knowledge base, and implement the core system.

04

Validate

We test retrieval quality, output usefulness, workflow fit, and deployment suitability before broader rollout.

05

Support

We provide ongoing support, improvement, maintenance, and guidance as the system is used in real internal workflows.

[ FREQUENTLY ASKED ]

COMMON QUESTIONS

What is AIRGAP LLM?

AIRGAP LLM is a Melbourne-based consultancy that deploys private AI and local LLM systems for organisations handling sensitive data. We serve law firms, healthcare providers, and financial services firms across Melbourne, helping them use AI without sending confidential information to public platforms.

What is a local LLM deployment?

A local LLM deployment runs a large language model entirely within your organisation's controlled infrastructure — on-premise servers or private cloud — so that no queries, documents, or responses pass through external third-party platforms. This is critical for Australian organisations subject to the Privacy Act 1988.

Who needs private AI deployment?

Organisations handling privileged, clinical, financial, or operationally sensitive information benefit most from private AI. This includes law firms, healthcare providers, accounting firms, wealth managers, and government-adjacent teams in Melbourne and across Australia.

Where is AIRGAP LLM based?

AIRGAP LLM is based in Cremorne, Melbourne (10-20 Gwynne St, Cremorne VIC 3121), in the heart of Melbourne's technology precinct.

What industries does AIRGAP LLM serve?

AIRGAP LLM serves three primary industries: legal (law firms handling privileged client data), healthcare (providers managing patient-sensitive information), and financial services (wealth firms, accounting firms, and advisory teams handling regulated financial data).

How does local LLM deployment protect sensitive data?

Local LLM deployment keeps all data processing within your organisation's controlled environment. No prompts, documents, or AI responses leave your network, ensuring compliance with the Australian Privacy Act 1988, APRA Prudential Standards, and professional confidentiality obligations.

Ready to Deploy Private AI?

Get in touch to discuss how AIRGAP LLM can help your organisation deploy private AI systems with full data control.

Request a Consultation