Ophir Holder
CEO / Co-founder
M
Multyx
Multyx provides a confidential AI platform that utilizes privacy-enhancing technologies, including confidential computing and data obfuscation, to enable organizations to collaborate on sensitive data analysis without compromising security. This solution allows financial and related enterprises to optimize operations such as underwriting and marketing while minimizing data exposure and operational costs.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 6 months ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
Organizations face challenges in collaborating on sensitive data analysis due to concerns about data exposure and security breaches. Traditional methods of data sharing often require compromising confidentiality, limiting the potential for valuable insights and innovation. This is especially critical in industries like finance and healthcare, where regulatory compliance and data protection are paramount.
Solution
Multyx offers a confidential AI platform that enables secure data collaboration through privacy-enhancing technologies. The platform utilizes confidential computing, synthetic data generation, and data obfuscation to allow organizations to analyze sensitive information without compromising its confidentiality. By leveraging a SaaS-based intuitive platform, companies can seamlessly engage in collaborative analysis of sensitive data with external AI partners, upholding data confidentiality at scale. This approach expands revenue streams, minimizes risks, and improves overall operational efficiency by ensuring model accuracy and accelerating time to value.
Target Audience
The primary target audience includes financial institutions, insurance carriers, consulting firms, and other enterprises that handle sensitive data and require secure collaboration for AI and data analysis.
Features
- Confidential computing to protect data during processing.
- Synthetic data generation for creating anonymized datasets.
- Data obfuscation techniques to mask sensitive information.
- SaaS-based platform for easy deployment and use.
- Support for tabular and textual data collaboration.
- Scalable zero-trust confidentiality for analysis of original data.
- Intuitive interface for streamlined workflows.