Professional Services

Private LLM & Data Set-up

Use AI on your own documents without handing them to public AI services. HLBNGA runs its own private large language model on infrastructure we own and operate. We set up your documents, connect them to our model, and deliver answers drawn from your data through a custom chatbot, our APIs or products like Compliance Logger.

HLBNGA · Private LLMIllustrative example
Sent to public AI0
Documents in library18,420
Questions today1,284
Your set-upLive
ComponentSet-upStatus
ModelHLBNGA private LLMACTIVE
Document libraryPolicies & proceduresINDEXINGSYNCED
Answers drawn fromYour documentsENFORCED
Public AI & web searchNot usedNONE
No public AI services · no open-web look-ups · answers drawn from your documents
Why private

Powerful AI, without handing your data to public AI

Public AI tools such as ChatGPT are useful, but every prompt sends information to an outside provider, and the answers come from general internet knowledge rather than your own records. Ask one about your own policy and it may simply make one up.

HLBNGA's private LLM runs on infrastructure we own and operate. Your documents and questions are processed there, not by public AI services, and the model answers from your documents rather than the open web.

  • Your documents and questions never go to public AI services like ChatGPT.
  • Answers come from your own documents, not the internet.
  • Processed on infrastructure HLBNGA owns and operates.
  • Used through a chatbot, our APIs or HLBNGA products.
HLBNGA · Data boundaryIllustrative example
How your data movesLive
YOUR ORGANISATION HLBNGA PRIVATE AI Your teamAsks questions Your documentsPolicies, procedures Private LLMOwned and run by HLBNGA Your document libraryPrepared for search Your assistantChatbot, API or product Public AIe.g. ChatGPT Open webNot searched NOT USED NOT USED
Sent to public AI0
Web look-ups0
From your documents100%
How it works

Answers grounded in your own documents

Our private LLM does not answer from general internet knowledge. When someone asks a question, the system first searches your document library for the most relevant passages, then asks the model to answer using those passages.

Because every answer is drawn from your documents, it is far less likely to be invented, and easy to check against your own policies. It is the same reason Compliance Logger references the policies you upload instead of guessing what they say.

  • Your documents first. Search runs across your library, not the web.
  • Plain English. Ask questions the way you would ask a colleague.
  • Always current. When a document is replaced, answers follow the new version.
  • One engine, many uses. The same private LLM powers our chatbots, APIs and products.
See a demo →
HLBNGA · How an answer is producedIllustrative example
Five steps behind every answerAutomatic
1
QuestionSomeone asks in plain English, in a chatbot, an app or an HLBNGA product
Your team
2
Search your libraryYour documents are searched, never the open web
Your data
3
Find the right passagesThe most relevant sections are pulled from your documents
3 passages
4
Draft the answerThe private LLM writes an answer from those passages
Private LLM
5
DeliverThe answer appears in your chatbot, app or HLBNGA product
Answered
Runs on HLBNGA's private infrastructure · no public AI services involved
HLBNGA · Private assistantIllustrative example
When do we need to apply enhanced due diligence to a new client?
AIPrivate assistant
Our procedure requires enhanced customer due diligence when a client is rated high risk, is a foreign politically exposed person, or is linked to a high-risk jurisdiction. The Compliance Officer must approve the client before onboarding is completed.
Answered from your documents · no web search
Who can approve a high-risk client?
AIPrivate assistant
Only the AML/CTF Compliance Officer, or a senior manager they nominate in writing, can approve a high-risk client.
Who approves exceptions?What records do we keep?Summarise for my team
Ask about your policies and procedures…→
See it in action

A chatbot that knows your documents

We build chatbots that answer from your organisation's own documents. Your people stop searching shared drives and policy manuals: they ask a question in plain English and get a clear answer drawn from your own documents.

For one client, we loaded their complete document set into a private assistant that references their own files instead of searching the web. The same approach powers the policy checks in Compliance Logger, where answers reference the policies you upload rather than inventing them.

  • Answers drawn from your uploaded documents.
  • Questions asked in plain English.
  • No web search and no public AI services.
  • Available as a chatbot or through our APIs.
What’s included

From your documents to a working assistant

We handle the set-up from start to finish, so your team gets the benefit of AI on its own data without having to run any AI infrastructure.

01

Discovery

We agree the use case, the documents involved and who will use the assistant, whether that is your staff, a chatbot or one of our products.

You receiveA clear scope and document list

02

Document set-up

We load your documents into a private library on our infrastructure, organise them and prepare them for fast, accurate search.

You receiveYour private document library

03

Configure and test

We set the assistant to answer from your documents, then test it with your real questions before anyone relies on it.

You receiveA tested, ready assistant

04

Launch and support

We launch it as a chatbot, through our API or inside an HLBNGA product, and keep your library current as your documents change.

You receiveA live assistant and ongoing updates

Use cases

Where clients use our private LLM

The model supports your people rather than replacing them. Every answer is drawn from your documents and gives a starting point that a person can check, use and act on.

Company Document Chatbot

A private assistant that answers questions from your own documents instead of searching the web.

Policy Checks in Compliance Logger

In Compliance Logger, incidents and reports are checked against the policies you upload rather than a guessed policy.

AI Through Our APIs

Connect your own applications to our private LLM through HLBNGA's APIs, so your systems can use AI on your data without public AI services.

Summaries of Long Documents

Long policies, contracts and reports condensed into clear summaries drawn from the document itself.

Answers on Your AML/CTF Program

Quick answers about your own AML/CTF program and procedures, drawn from the program itself, so staff apply the rules you have actually written.

Onboarding New Staff

New starters get answers about internal processes from your own handbooks and procedures, not from the internet.

Data set-up

Your documents, set up for AI

Good answers start with well-organised documents. We take your policies, procedures and reference material, organise them into a private library and prepare them so the model can find the right passage quickly.

When documents change, the library is updated, so answers reflect your current versions rather than an old copy someone saved years ago.

  • Upload. Your documents are uploaded by your team or ours.
  • Organise. They are organised, with outdated versions removed.
  • Index. Each document is prepared for fast, accurate search.
  • Keep current. New versions replace old ones, so answers stay up to date.
Discuss your documents →
HLBNGA · Document libraryIllustrative example
Documents18,420
Updated this month214
Outdated removed1,212
✓Upload
✓Organise
3Index
4Live
Recent changesYour library
DocumentVersionStatus
AML/CTF Program Part Av7LIVE
ECDD Procedurev3.2INDEXINGLIVE
ECDD Procedurev3.1LIVEREPLACED
Whistleblower Policyv2LIVE
Code of Conductv5LIVE
Staff Onboarding Handbookv4LIVE
Indexing ECDD v3.2
100%
Answers come from the current version of each document
Private vs public AI

Why not just use a public chatbot?

Public AI chatbots are built to answer anything, using general knowledge from the internet. That makes them handy for everyday tasks, but risky for questions about your own business: they cannot see your documents unless you paste them in, and once you do, that information has left your organisation.

A private LLM connected to your documents works the other way round. It answers from your data and keeps your information away from public AI services.

  • Ask about your own policies and get your own policies back.
  • No pasting documents into public tools.
  • Use it in a chatbot, through our APIs or inside HLBNGA products.
HLBNGA · Private vs public AIIllustrative comparison
At a glanceFor questions about your business
 Public AI chatbotHLBNGA private LLM
Your data goes to a public AI providerYesNo
Answers drawn fromGeneral internet knowledgeYour own documents
Knows your internal policiesOnly if you paste them inYes
Set up and kept current for youNoYes
Risk of made-up answers about your policiesHigherReduced
Works inside your systemsA separate toolChatbot, APIs and products
General comparison · public AI services vary by provider and plan
Questions

Frequently asked questions

Does our data go to ChatGPT or other public AI services?

No. Your documents and questions are processed by HLBNGA's own private LLM, on infrastructure we own and operate. They are not sent to ChatGPT or any other public AI service, and the model does not search the open web for answers.

How is this different from using ChatGPT?

Public chatbots answer from general knowledge gathered from the internet. Our private LLM answers from your own documents, so you are not relying on a guess about your own policies.

Is our data used to train public AI models?

No. Your documents are used to find answers to your organisation's questions. They are not shared with public AI providers or used to train public AI models.

Where is our data processed?

In South Africa, on infrastructure HLBNGA owns and operates, where it is protected under South Africa's Protection of Personal Information Act (POPIA). It is never sent to public AI services in any country. If your organisation is covered by Australia's Privacy Act, talk to us about what this means for your obligations when personal information is processed overseas.

Can it work with our systems and HLBNGA products?

Yes. The same private LLM powers HLBNGA products such as Compliance Logger, and it is available through our APIs so your own applications can use it.

What happens when our documents change?

Your library is updated with the new versions and outdated ones are removed, so answers reflect the documents you currently use.

Private by design

Your data, our private AI.

Talk to us about a private assistant built on your own documents, and see the difference when answers come from your data instead of the internet.