Skip to main content
D

DataKrypto

Inactive

DataKrypto provides a fully homomorphic encryption (FHE) solution that enables secure processing of data-in-use, ensuring data privacy even in untrusted environments. This technology eliminates vulnerabilities associated with data access and processing, allowing businesses to protect sensitive information while maintaining operational efficiency.

Rome, ItalyFounded 2021
Updated 4 months ago

Funding

$3M 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.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Data breaches and unauthorized access to sensitive information remain a significant threat to businesses, especially when data is being actively processed or analyzed. Traditional encryption methods protect data at rest and in transit, but leave it vulnerable during use, creating opportunities for cyberattacks and compliance violations.

Solution

DataKrypto offers FHEnom, a fully homomorphic encryption (FHE) solution that enables organizations to perform computations on encrypted data without decrypting it first. This ensures continuous data privacy throughout its lifecycle, even in untrusted environments. FHEnom allows businesses to maintain operational efficiency while safeguarding sensitive information against unauthorized access and cyber threats. The solution is designed for massive scalability, processing ciphertext at speeds comparable to plaintext with minimal impact on storage.

Target Audience

DataKrypto targets businesses and organizations that handle sensitive data and require robust data privacy measures, particularly those in regulated industries such as finance, healthcare, and government.

Features

  • Fully homomorphic encryption (FHE) that protects data-in-use during processing, search, and analysis
  • FHEnom SDK and ODBC/JDBC drivers for flexible integration into existing workflows and environments
  • Ciphertext processing speeds comparable to plaintext, minimizing performance overhead
  • Encrypted data retains its original size, maximizing efficiency and reducing compute and storage costs
  • Facilitates compliance with GDPR/NIS2 data protection requirements by ensuring continuous data privacy
This profile is AI-generated and may contain inaccuracies.