Wisery Labs offers an on-premises generative AI intelligence platform that enables confidentiality-conscious organizations to analyze both private and public data sources while maintaining data privacy. The platform provides reliable, explainable insights to help national security, law enforcement, and financial analysts quickly identify risks and opportunities without compromising sensitive information.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MCFounders
Product
Problem
Organizations handling sensitive data face challenges in leveraging generative AI for data analysis due to confidentiality concerns. Existing solutions often require data to be transferred to the cloud, increasing the risk of data breaches and compliance violations. This limits the ability of national security, law enforcement, and financial analysts to quickly identify risks and opportunities from private and public data sources.
Solution
Wisery Labs offers an on-premises, agentic AI intelligence platform that enables confidentiality-conscious organizations to analyze both private and public data sources while maintaining data privacy. The platform allows domain experts to pose queries and receive answers in natural language, eliminating the need for specialized AI experts. By keeping data on-premises, the platform ensures that sensitive information remains secure and compliant with regulatory requirements. The platform's architecture is tailored to the organization's specific domain, providing reliable and explainable insights to help analysts quickly identify risks and opportunities.
Target Audience
The primary target audience includes national security agencies, law enforcement agencies, national intelligence organizations, and corporate organizations that require secure and reliable generative AI for data analysis.
Features
- On-premises deployment ensures data never leaves the organization's control
- Proprietary architecture Large Language Model tailored to the organizational domain
- Natural language query interface allows domain experts to interact with the platform without specialized AI knowledge
- Data agnostic, works with any data in any language: Private and public data sources, unstructured and structured, text, video, audio and other formats
- Planner and Agents for efficient data retrieval and permission management
- Explanatory and transparent, delivering trustworthy results and providing an evidence log of its validation process
- Simple connectors for seamless integration with existing databases and repositories