Overview

A private assistant gives staff a conversational interface to the information they already have, without moving it into a third-party service. Answers cite the documents they came from, and every user only retrieves content they are permitted to see in the source system.

What we deliver

Connectors for SharePoint, file shares, Confluence, databases and document systems
Ingestion pipelines with chunking, metadata and scheduled refresh
Permission-aware retrieval mirroring source-system access
Chat interface with source citations
Answer-quality evaluation sets built from real questions
Usage analytics and feedback capture

A good fit when

Staff struggle to find current policy, procedure or precedent
Knowledge is spread across many repositories
You need answers that can be traced back to a source

Built-in safeguards

Document-level access control enforced at retrieval
Citations on every answer for verification
Indexes and embeddings kept in your environment

Let’s build
your private AI.

Tell us where you want to go. We’ll work through the possibilities, the practicalities and the right place to start.

Start a conversation

Private AI Assistants (RAG)

Overview

What we deliver

A good fit when

Built-in safeguards

Private LLM Deployment

MCP Server Development

Employee AI Training

Let’s build
your private AI.

Private AI Assistants (RAG)

Overview

What we deliver

A good fit when

Built-in safeguards

Private LLM Deployment

MCP Server Development

Employee AI Training

Let’s build
your private AI.

Private AI Assistants (RAG)

Overview

What we deliver

A good fit when

Built-in safeguards

Related services

Private LLM Deployment

MCP Server Development

Employee AI Training

Let’s buildyour private AI.

Private AI Assistants (RAG)

Overview

What we deliver

A good fit when

Built-in safeguards

Related services

Private LLM Deployment

MCP Server Development

Employee AI Training

Let’s buildyour private AI.

Let’s build
your private AI.

Let’s build
your private AI.