MinerEye builds an AI-powered data classification and governance product called DataTracker™ (Data Tracker) that uses computer vision and machine learning to automatically categorize, classify and track large volumes of data at the byte level. The solution is designed to discover dark and unstructured data and tag sensitive content including PII, contracts, patents, designs, photos and video to support secure cloud and hybrid environments. The company positions its technology as a way to help organizations meet GDPR and other privacy regulations while reducing the time and resources required by manual data discovery. MinerEye says its offering brings complete data visibility to chief data protection officers and CISOs, enabling ongoing sensitive-data protection. The article quotes CEO Yaniv Avidan emphasizing the grant as validation of MinerEye’s proprietary approach and vision. MinerEye offers AI-powered information governance that automates identification and tracking of non-compliant data in enterprise-scale repositories and storage platforms. Led by founder and CEO Yaniv Avidan, the company's patent-pending technology merges computer vision and machine learning to identify sensitive data patterns based on learning sets of exemplar files. Its Data Tracker™ product scans and clusters large on‑premises and cloud repositories, tracks data behavior, and alerts or triggers policy enforcement tools while reporting on non-compliant data. The product is commercially available and has been installed in several large financial institutions in the US and Europe. Financially, the company completed its first financing round totaling US$3.6 million, including a US$3.0 million investment reported in this article.

Total raised

$5M

Funding rounds

2

Latest round

Grant

Latest activity

Nov 2024