Private On-Premise AI

YourAI.Yourinfrastructure.Yourdata.

A private large language model deployed within your own walls. No cloud. No exposure. No compromise.

For firms handling sensitive client data, cloud-based AI is not an option. Regulatory requirements, fiduciary duties, and client expectations demand complete data sovereignty.

A private, on-premise LLM runs entirely within your own infrastructure. Fine-tuned on your firm's knowledge base, it becomes a proprietary intelligence asset — drafting reports, answering queries, and accelerating every workflow, without a single byte leaving your walls.

Why Private Deployment

The case for keeping AI in-house.

Every query sent to a cloud AI service exposes sensitive data to third parties. For wealth management firms handling client portfolios, investment strategies, and personal financial information, this exposure is unacceptable — both from a regulatory and a fiduciary standpoint.

Client data never leaves your infrastructure
No dependency on third-party cloud providers
Full POPIA and data sovereignty compliance
Customised to your firm's language and processes
No per-query costs or usage-based pricing
Operates fully offline if required
Private AI server deployment

Deployment Type

On-Premise · Air-Gapped · Private Cloud

Use Cases

What your private AI can do for your firm.

Document Intelligence

Extract, summarise, and analyse contracts, prospectuses, and legal documents instantly.

Report Generation

Generate portfolio reports, client summaries, and investment memos in natural language.

Knowledge Base Q&A

Answer questions about your firm's policies, procedures, and historical decisions.

Compliance Assistance

Draft compliance responses, check regulatory requirements, and prepare audit documentation.

Escrow Workflow Support

Verify conditions, check document completeness, and flag exceptions automatically.

Internal Search & Retrieval

Find relevant precedents, past communications, and institutional knowledge instantly.

Deployment Process

From assessment to live deployment in weeks, not months.

01

Infrastructure Assessment

We evaluate your existing infrastructure, security requirements, and integration needs.

02

Model Selection & Fine-Tuning

Select the right model size and fine-tune on your firm's documents and processes.

03

Secure Deployment

Deploy the model within your infrastructure with full encryption and access controls.

04

Integration & Workflow Embedding

Connect to your existing systems and embed AI into daily workflows.

05

Ongoing Optimisation

Continuous improvement based on usage patterns and evolving requirements.

AI server deployment in office

In-Office Deployment

Fits within your existing office infrastructure.

You don't need a data centre. Modern AI hardware is compact, quiet, and designed for office environments. A single high-performance workstation or a compact server rack is sufficient for most wealth management firms.

We handle everything: hardware specification, procurement, installation, model deployment, and ongoing maintenance. Your team gets a fully operational AI system without the complexity of managing infrastructure.

Typical Hardware Requirements

Small Firm

HardwareHigh-spec workstation
Model Size7B – 13B parameters
Suitable ForTeams up to 15 users

Mid-Size Firm

HardwareDedicated server unit
Model Size30B – 70B parameters
Suitable ForTeams of 15–50 users

Enterprise

HardwareMulti-node cluster
Model Size70B+ parameters
Suitable ForLarge organisations

Ready to Begin

Ready to own your AI?

Book a consultation to discuss private deployment options for your firm.