Auramind.ai offers a secure, enterprise‑grade generative AI platform hosted on a dedicated AWS environment, giving companies full control over data and usage while providing built‑in analytics to measure ROI. The solution lets any employee access AI tools through a simple interface, turning individual experimentation into measurable business outcomes. It includes comprehensive security features and usage dashboards to prevent data leakage and ensure compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises adopting generative AI often rely on public services, which expose strategic data to external platforms and provide little visibility into usage impact or return on investment. This lack of control and measurable outcomes hampers broader adoption across the organization.
Solution
Auramind delivers a secure generative AI platform hosted in a dedicated AWS environment, ensuring that all data remains under the enterprise’s control. The platform records every interaction and provides built‑in analytics that quantify productivity gains, cost savings, and other ROI metrics. Integrated compliance reporting aligns AI usage with standards such as the NIST AI RMF, allowing organizations to monitor risk and audit activity. Specialized AI assistants can be trained on internal knowledge bases, extending the platform’s utility to processes, HR, finance, IT, and other functions while maintaining security and governance.
Target Audience
Primary customers are mid‑size to large enterprises, particularly those in regulated sectors, that need secure, auditable AI capabilities for internal teams and business processes.
Features
- Dedicated AWS deployment that isolates corporate data from public AI services
- Full audit trail with 100% of interactions logged for compliance and security review
- Enterprise analytics suite that tracks usage, productivity, and ROI indicators
- Customizable AI assistants trained on the organization’s own documents and policies
- Risk assessment tools based on the NIST AI RMF 1.0 to evaluate AI maturity and governance
- Role‑based access controls and policy enforcement to prevent unauthorized data exposure