AutomataWorks’ RAG-based agent enables natural-language queries across private corp data — without compromising security.
Employees can ask questions, get sourced answers, and view citations instantly from documents, wikis, and emails.
Enables employees to query private documents, reports, and wikis in natural language — without exposing data externally.
Combines enterprise document search with AI reasoning to deliver accurate, context-grounded answers.
Every answer cites its source documents and confidence scores for full traceability and trust.
Works with PDFs, DOCX, spreadsheets, Slack threads, and knowledge bases across multiple repositories.
Automatically categorizes and embeds documents with metadata for fast and relevant retrieval.
Ensures users only see what they’re authorized to view, maintaining privacy and compliance.
Runs fully within your data perimeter or virtual private cloud — no data leaks to external APIs.
Grounded responses derived directly from your content — not model “hallucinations.”
Cuts research and onboarding time by 60–80%, empowering teams with instant insights.
Built to scale from a single knowledge base to a full enterprise document ecosystem with ease.
Get in touch to learn more about our services—we’d love to hear from you and explore how we can help your business grow.
We ship safe, measurable Al agents inside your systems of record. Pilot available when you want.
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