AI
Enterprise RAG Assistant
A private, grounded AI assistant over your own knowledge.
The Problem
General chatbots don't know your policies, products, or documents — and public LLMs can't be trusted with sensitive data or held to a citation.
Teams waste hours hunting across wikis, tickets, and PDFs for answers that already exist somewhere in the organization.
What it does
Grounded answers
Every response is retrieved from your sources and cited, with confidence thresholds so the assistant abstains rather than hallucinates.
Your data, your boundary
Deployed in your cloud or VPC; sensitive content never leaves your control.
Guardrails
Input/output filtering, PII masking, and a strict relevance gate keep it on-topic and compliant.
Always fresh
An automated ingestion pipeline embeds new and changed documents into the vector store on a schedule.
How it works
We connect your knowledge sources and build a governed ingestion + embedding pipeline into a vector store.
A retrieval and generation layer answers with citations, wrapped in guardrails and an evaluation harness.
The assistant ships to your channels — web, Slack, internal apps — with observability on every answer.
Tech stack
Capabilities and typical outcome ranges reflect our delivery patterns and published industry benchmarks; actual results depend on your data and environment.