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PrivateGPT · Financial services · Regulated operators

ChatGPT’s usefulness. Your servers. Your rules.

PrivateGPT is a ChatGPT-style assistant that runs entirely inside your network, enriched with your own data, so your team gets instant answers without anything leaving your servers.

Put a private assistant on your data →Talk to engineering
In productionOn-premAccess-controlled
The problem

Your team wants the assistant. Compliance can’t allow the data out.

The firm wants what a modern AI assistant offers for research and analysis, but it cannot send internal data to a public model. In many US financial institutions, cloud-based AI is viewed as too risky given third-party access, data leakage, and regulatory noncompliance, and private deployment has become the default.

The constraint is consistent

Industry surveys put AI adoption above 85% of financial firms, but sensitive client data and PII cannot leave a controlled environment.

Knowledge stays siloed

Valuable internal documents and expertise sit unsearchable while the rest of the market captures the productivity.

Building it is a project

Standing up models, infrastructure, and MLOps in-house is exactly the kind of program the firm does not want to own.

How it works

A private assistant, grounded in your knowledge.

01

Run

A conversational assistant entirely within your network.

02

Configure

Set up to your compliance guidelines from day one.

03

Enrich

Connected to your internal documents, knowledge bases, and systems.

04

Answer

Context-rich responses in chat, with nothing leaving your servers.

Why PrivateGPT

The productivity, without the exception request.

Nothing leaves your servers

On-prem on open-weight models with no third-party LLM, the architecture financial institutions now default to.

Grounded in your data

Internal knowledge, finally answerable. Enriched with your documents, knowledge bases, and systems.

Managed, not built

Apolo runs the platform and MLOps. No internal AI team needed, live in weeks.

Security & deployment

Built for the data that can’t leave.

On-prem or in a customer-controlled environment. Open-weight models on Apolo’s private GPUs, no third-party AI provider. Access controls throughout. A forward-deployed engineer connects your data sources and configures the assistant to your guidelines.

ISO 27001SOC 2 Type 2No third-party LLMWeeks, not quarters
FAQ

What security-minded teams ask first.

Isn’t this just ChatGPT?

Same kind of assistant, but on-prem on open-weight models, with your data, and no provider in the loop.

Can it use our internal data safely?

Yes. The data stays in your environment, access-controlled, and is never shared externally.

How is it different from a generic chatbot?

It is grounded in your knowledge base and configured to your compliance guidelines, not a blank assistant.

What’s the deployment burden on our team?

Apolo manages the platform and MLOps. Your team points us at the data sources and sets the guidelines.

Put a private assistant on your own data.

Tell us where your knowledge lives. We will show you the assistant answering from it, inside your environment.

Book a demo →