Pyte provides a secure multiparty computation platform that enables enterprises to collaborate and perform computations on encrypted data without ever decrypting it, ensuring privacy compliance and protection against data breaches. This technology allows organizations to leverage sensitive data across cloud environments and partners while maintaining confidentiality, eliminating the need to share personally identifiable information.
Funding
$11.7M 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.
Founders
Product
Problem
Enterprises face increasing challenges in collaborating on sensitive data due to privacy regulations, security concerns, and the risk of data breaches. Sharing personally identifiable information (PII) across cloud environments and with partners creates vulnerabilities and compliance hurdles. Traditional methods of data collaboration often require decryption, exposing data to potential threats throughout its lifecycle.
Solution
Pyte provides a secure computation platform that enables organizations to collaborate and perform computations on encrypted data without ever decrypting it. The platform utilizes secure multiparty computation (SMPC) cryptographic technology, allowing enterprises to leverage data across cloud environments, partners, and jurisdictions while maintaining confidentiality and privacy compliance. Pyte's technology eliminates the need to share PII, ensuring end-to-end encryption and secure communication of data between multiple parties. This approach unlocks data utility while guaranteeing privacy and security, removing friction between data collaboration and data protection.
Target Audience
Pyte's primary customers are Fortune 500 enterprises, marketing clouds, data providers, and organizations in industries such as healthcare, consumer packaged goods (CPG), and insurance that require secure data collaboration and computation.
Features
- Secure multiparty computation (SMPC) technology for computations on encrypted data
- End-to-end encryption to ensure data privacy throughout its lifecycle
- Ability to collaborate and compute on data across multiple cloud environments and partners
- Compliance with privacy regulations by eliminating the need to share PII
- Protection against data breaches through secure data collaboration solutions