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Private AI · LLM · RAG

Your AI. Your data. Fully under your control.

Private language models and knowledge assistants that answer from your documents with citations — running in your cloud or on-premise, with permissions intact.

Talk to an AI Architect Try the live RAG demo
  • Answers cite their sources
  • Respects permissions
  • On-premise & offline options

The challenge

Why public AI isn't enough for enterprise knowledge

  • Data can't leaveConfidential documents and regulated data cannot be sent to public AI services.
  • Answers you can't verifyGeneric chatbots answer confidently without showing where the answer came from.
  • Permissions ignoredA knowledge assistant must never reveal a file the user is not allowed to open.
  • Domain languageGeneral models miss your terminology, formats and processes.

Our solution

A private AI stack, from model to answer

ADG LLM, the Enterprise RAG Platform and ADG Chat work together — deployed where your data must stay.

  • Retrieval with citationsHybrid semantic and keyword search with reranking; every answer cites its sources.
  • Permission-awareDocument-level permission boundaries enforced at retrieval time.
  • Domain-tuned modelsOpen-weight models fine-tuned for your domain (LoRA/QLoRA) and evaluated before release.
  • Private inferencePrivate inference endpoints and enterprise APIs with authentication and logging.
  • Knowledge assistantADG Chat for teams: multi-document analysis, summaries and drafts over approved sources.
  • AI-in-a-BoxThe full stack on hardware inside your walls — including air-gapped sites.

How it works

From documents to trusted answers

How retrieval-augmented generation answers from your knowledge without retraining a model.

Ask a real knowledge base on adgtech.ai/live
  1. 1ConnectApproved folders, repositories and systems.
  2. 2IndexParse, chunk and embed with permission metadata.
  3. 3AskUsers ask in plain language.
  4. 4RetrieveOnly passages the user may see are retrieved.
  5. 5AnswerThe private model answers with citations.

Why ADGTech

Sovereign by design

  • Your infrastructureHosted, private cloud or on-premise — models, documents and logs stay within your boundary.
  • No training on your dataRAG answers from your documents at query time; it does not retrain a model on them.
  • Evaluated before releaseTask-specific evaluation and approval gates before any model reaches production.

ADG LLM is an active model-engineering initiative; model availability is confirmed per engagement. ADGTech products provide technical controls that support your compliance programme. Regulatory compliance depends on your configuration, processes and assessment — it is not guaranteed by software alone.

Get started

Talk to an AI architect

Tell us about your documents, systems and where the AI must run. We'll recommend an architecture for your environment.

  • Free, no-obligation consultation
  • Speak directly with a specialist
  • Pick a meeting time right after you submit

Prefer email? contact@adgtech.ai

Preferred contact method

FAQ

Questions, answered

What is RAG?

Retrieval-augmented generation: a model answers from your own documents at query time and cites its sources, instead of relying only on what it learned in training.

Can it run without internet access?

Yes. AI-in-a-Box deploys the model, knowledge index and agents on hardware inside your boundary, including isolated sites, subject to configuration.

Do you train foundation models from scratch?

No. ADG LLM adapts and serves open-weight foundation models for your domain and runs them privately.

Talk to an AI Architect