AUMAI-powered intelligence layer for analyzing sensitive enterprise data securely.

4.8 (5)

Reviewed by Daniel Nikulshyn·Updated July 2026

Enterprise Data Privacy Compliance LLM Secure AI Generative AI Governance

Overview

AUM is an AI platform designed to help organizations extract insights from their most sensitive and confidential business data. It applies large language model capabilities within a controlled environment, allowing teams to query, summarize, and analyze proprietary information without exposing it to public AI services. The tool is aimed at enterprises in regulated industries where data privacy, compliance, and governance are critical. By keeping data processing within a secure perimeter, AUM enables organizations to adopt generative AI workflows for tasks like document review, internal research, and decision support while maintaining control over their information.

Key features

Secure AI analysis of sensitive data
Enterprise data governance
Natural language querying
Document summarization and review
Controlled deployment environment
Compliance-oriented architecture

Pricing

Model: Free
Category: AI Docs Agents
Rating: 4.8 / 5 (5)

Use cases

Confidential Document Review

Summarize and review sensitive contracts, reports, or filings within a secure environment, avoiding exposure to public AI services.

Internal Research in Regulated Industries

Query proprietary knowledge bases using natural language to support research workflows in finance, healthcare, or legal sectors.

Governed Decision Support

Provide executives and analysts with AI-driven insights from confidential business data while maintaining enterprise governance and compliance controls.

Secure Generative AI Adoption

Enable teams to use LLM capabilities on proprietary data within a controlled perimeter, supporting compliance-oriented AI deployment.

Pros & Cons

Pros

Focused on data privacy and security
Suited for regulated industries
Enables AI use on confidential data
Enterprise-grade governance controls

Cons

Likely requires enterprise contracts
Limited public information available
May involve complex onboarding

Battle record

Across 1 battle in the Pantheon.

1st

2nd

3rd

Last battle

#6
AI Docs Agents Showdown — May 16, 2026
May 16, 2026 · #6 of 7

Reviews

4.8

Average from 5 ratings.

Margaret Whitfield

Mar 6, 2026

Solid for our team

We rolled this out across the team last quarter and enterprise-grade governance controls. Document summarization and review fits neatly into how we already work, and secure AI analysis of sensitive data removed a step we used to do by hand. May involve complex onboarding, which is the main caveat, but it has held up under daily use.

Linda Petersen

Dec 13, 2025

Does the job

Pretty happy overall. Secure AI analysis of sensitive data just works and suited for regulated industries. but no dealbreakers — I'd recommend it to a friend without hesitating.

Ahmed Saleh

Oct 27, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on compliance-oriented architecture, and focused on data privacy and security caught me off guard. still, I'd recommend giving it a real trial.

Aaliyah Johnson

Oct 13, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: document summarization and review and enterprise-grade governance controls. Where it lags: limited public information available. On balance the feature set — especially natural language querying — justifies the 5 stars for our use case.

Ethan Brooks

Sep 3, 2025

Solid for our team

We rolled this out across the team last quarter and enterprise-grade governance controls. Controlled deployment environment fits neatly into how we already work, and enterprise data governance removed a step we used to do by hand. but it has held up under daily use.