DNAsafe provides an API for healthcare applications to run computations on user-provided genomic data while it remains encrypted. This secure computing environment ensures that unencrypted data never leaves the user's device during processing or transfer. The service enables privacy-preserving analysis and helps applications comply with data protection regulations.
Funding
$30K 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
Healthcare applications often require access to sensitive genomic data for analysis and personalized medicine, but traditional methods of data processing can expose unencrypted information, raising significant privacy concerns. Existing solutions struggle to balance the need for data utility with stringent regulatory requirements and the imperative to protect patient confidentiality.
Solution
DNAsafe offers a genomic data privacy solution that enables healthcare applications to perform computations on encrypted user data without ever exposing the underlying unencrypted information. By integrating with the DNAsafe API, applications can run models within a secure computing environment, ensuring that sensitive genomic data remains protected on the user's device throughout the entire data processing lifecycle. The user generates a public/private key pair to encrypt their genomic data on their personal device. Encrypted data is transferred to the DNAsafe secure computing environment where computing servers or models never see unencrypted data. The encrypted results from the computation are sent back to the user's device and are decrypted by the user, ensuring only the user can access the unencrypted results.
Target Audience
The primary target audience includes healthcare application developers and providers who require secure and privacy-preserving methods for processing genomic data.
Features
- API integration for healthcare applications to perform computations on encrypted genomic data.
- Secure computing environment where models run without accessing unencrypted data.
- User-controlled encryption using a public/private key pair generated on the user's device.
- End-to-end encryption ensuring data protection in transit and in use.
- Compliance with privacy regulations by keeping sensitive data secure throughout the computation process.