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Measured on six things

AUM is an enterprise AI platform that processes sensitive business data entirely offline, offering secure document search, database intelligence, and workflow automation while maintaining complete data sovereignty on your own infrastructure.

Accessibility

Limited accessibility features mentioned, primarily designed for technical enterprise users rather than broad accessibility needs.

About this app

AUM positions itself as the private enterprise AI brain that addresses one of the biggest concerns in today's AI landscape: data security. Unlike cloud-based AI solutions that risk exposing sensitive information, AUM runs completely on-premise or in private clouds. I was particularly impressed by its ability to work with various data sources—files, databases, and internal systems—while keeping everything within the organization's control. The platform supports leading open-source AI models and offers granular access control, making it suitable for different teams within an enterprise. What stands out is their focus on compliance with regulations like HIPAA and GDPR, which is crucial for industries handling sensitive data. The interface is clean and professional, prioritizing functionality and security over flashy aesthetics, with team-specific AI 'brains' for efficient workflow management. While it excels in security and enterprise usability, accessibility features are limited, and performance depends on local infrastructure. Overall, AUM is a game-changer for organizations that can't compromise on data privacy while leveraging AI for tasks like document analysis, database querying, and automation.

Key features

1Complete offline AI processing with zero cloud data exposure
2Enterprise-grade security with HIPAA and GDPR compliance
3Team-specific AI brains with granular access controls

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Law firms and legal departments

Pain points

Client confidentiality concerns, ethical obligations, sensitive case data exposure risks

Primary needs

Secure document analysis, client data protection, compliance with legal privacy standards

Demographic

Healthcare organizations

Pain points

HIPAA compliance requirements, patient data security, cloud storage risks

Primary needs

Protected health information handling, regulatory compliance, secure medical data analysis

Demographic

Financial institutions

Pain points

Financial data sensitivity, regulatory compliance, third-party data exposure

Primary needs

Secure financial analysis, compliance reporting, internal data protection

Demographic

Government agencies

Pain points

National security concerns, classified information handling, sovereignty requirements

Primary needs

Complete data control, offline operation, secure intelligence processing

Scout Review

Written by AI from measured evidence, scored out of 100.

AUM delivers exactly what it promises: enterprise-grade AI with uncompromising security. For organizations in regulated industries or those handling sensitive intellectual property, this platform represents a game-changing solution. The ability to leverage advanced AI capabilities while maintaining complete data sovereignty addresses one of the biggest concerns in today's AI landscape. While the design prioritizes function over form and accessibility features are limited, these are reasonable trade-offs for the security benefits offered.

Measure by measure

Usability

Well-organized for enterprise workflows with intuitive document search, database querying, and team-specific AI brain management.

Design

Clean, professional interface prioritizing security over aesthetics. Functional enterprise design with team-specific AI brains and clear access controls.

Speed

On-premise performance avoids cloud latency but depends entirely on your local infrastructure capabilities and hardware investment.

Security

100

Perfect security score with complete offline operation, data sovereignty, and full compliance with HIPAA, GDPR, and other regulations.

Accessibility

Limited accessibility features mentioned, primarily designed for technical enterprise users rather than broad accessibility needs.

Growth

Exceptional growth potential with high demand for secure AI in regulated industries and strong market differentiation from cloud competitors.

Improvement areas

Limited accessibility features for differently-abled users
Performance dependent on local infrastructure quality
Minimal visual design elements and analytics

Design & Usability

AUM's design philosophy clearly prioritizes security and functionality over visual flair. The interface presents a clean, professional aesthetic that enterprise users will appreciate - no distracting animations or unnecessary graphics that could compromise the serious business of data protection. Navigation follows logical enterprise workflows with team-specific AI 'brains' that organize access controls intuitively. The platform's strength lies in its straightforward approach to complex tasks like document search and database querying, making powerful AI capabilities accessible to business users without overwhelming them with technical complexity. While it won't win design awards, it accomplishes exactly what security-conscious organizations need: a no-nonsense interface that gets the job done without compromising data integrity.

Speed & Security

Security is where AUM truly excels, earning a perfect score for its uncompromising approach to data protection. The platform's complete offline operation eliminates the fundamental risk of cloud-based data exposure, while supporting leading open-source AI models locally ensures no sensitive information ever leaves your infrastructure. Compliance with stringent regulations like HIPAA and GDPR demonstrates serious commitment to meeting enterprise requirements. Speed performance presents an interesting trade-off - while you avoid cloud latency entirely, your processing speed now depends on your local hardware investment. This creates a direct relationship between infrastructure spending and performance, but for organizations handling classified or highly sensitive data, this trade-off is not just acceptable but necessary.

Accessibility & Growth

Accessibility represents AUM's most significant area for improvement, with limited features catering to differently-abled users. The platform clearly targets technical and business professionals within enterprise environments rather than offering broad accessibility support. However, its growth potential is exceptional given the increasing regulatory pressures and security concerns around AI. The market demand for secure, offline AI solutions in regulated industries like healthcare, finance, and government is exploding, and AUM's unique positioning gives it a substantial competitive advantage. As data privacy regulations continue to tighten globally, AUM's value proposition only strengthens, making it well-positioned for significant market expansion.

Conclusion

If you're in healthcare, finance, legal, government, or any industry where data security isn't just important but mandatory, AUM deserves your immediate attention. The platform's free version provides an excellent opportunity to test its capabilities within your infrastructure. For organizations tired of worrying about cloud data exposure or regulatory compliance issues, AUM offers peace of mind that's increasingly rare in the AI space. Give this one a serious look if data sovereignty matters to your business.

Suggestions for improvement

Implement comprehensive accessibility features including screen reader support and high contrast modes
Develop industry-specific templates and workflows for faster deployment in regulated sectors
Add visual analytics dashboards to enhance business intelligence capabilities
Expand language support and localization for global enterprise deployments

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	AUM	Microsoft Security Copilot	Jan AI	OpenAI Enterprise
Data Processing Location	Complete offline/on-premise	Cloud-based through Microsoft infrastructure	Offline but individual-focused	Cloud-based through OpenAI infrastructure
Enterprise Deployment Scale	Full enterprise deployment with team management	Enterprise-scale cloud deployment	Individual user focus	Enterprise cloud deployment
Regulatory Compliance Focus	HIPAA, GDPR, and enterprise compliance built-in	Microsoft compliance standards	Limited compliance features	OpenAI enterprise compliance