Vaultree provides a solution for real-time processing of persistently encrypted data, enabling organizations to utilize sensitive information without compromising security. This technology allows businesses to leverage artificial intelligence and machine learning on encrypted datasets, ensuring compliance with regulations like GDPR and HIPAA while minimizing the risk of data breaches.
Funding
$16.1M 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.
IIFounders
Product
Problem
Organizations face challenges in utilizing sensitive data for analytics, AI, and machine learning due to security and compliance concerns. Traditional encryption methods protect data at rest and in transit, but not during processing, leaving it vulnerable to breaches and hindering its potential use. This limits the ability to leverage valuable insights from sensitive datasets while adhering to regulations like GDPR and HIPAA.
Solution
Vaultree provides a solution for processing persistently encrypted data in near real-time, enabling organizations to utilize sensitive information without compromising security or compliance. Their technology allows businesses to perform operations, including training machine learning models, directly on encrypted datasets. By ensuring data remains encrypted throughout the entire process, Vaultree minimizes the risk of data breaches and facilitates compliance with data privacy regulations. This enables new use cases for sensitive data, unlocking its potential for AI, machine learning, and advanced analytics.
Target Audience
Vaultree's primary customers are organizations across various industries, including finance, healthcare, and government, that handle sensitive data and require secure analytics and AI capabilities.
Features
- Ability to perform computations and analytics directly on encrypted data.
- Support for training machine learning models on encrypted datasets.
- Compatibility with data warehousing solutions like BigQuery for secure and scalable analytics.
- Minimal performance impact, enabling near real-time processing.
- Seamless integration with existing data infrastructure.
- Compliant with GDPR, HIPAA, and other data privacy regulations.