AI DataOps platform for database virtualization and data anonymization.
What it does
Generates virtual database copies with instant self-service provisioning for DevOps and QA.
Uses AI to discover sensitive PII/PHI and perform automatic data masking.
Enables version control, rewind, and replication of virtual test data like code.
Automates compliance auditing across hybrid and multi-cloud database environments.
Why it works
Database virtualization reduces storage overhead and shortens environment setup times from days to minutes.
AI-driven sensitive data discovery replaces manual masking rule creation across complex relational databases.
Self-service developer portal eliminates ticket requests to database administrators for fresh test data.
Modular architectural options allow deployment as standalone anonymization or an end-to-end DataOps suite.
AI DataOps platform for database virtualization and data anonymization.
Overview
Accelario is an AI-powered Test Data Management (TDM) and Continuous DataOps platform designed to accelerate software development while ensuring strict data privacy. The software provides automated data discovery, AI-driven sensitive data masking, and lightweight database virtualization via an intuitive self-service portal. By streamlining how test databases are copied, anonymized, and provisioned across cloud and on-premises environments, Accelario removes DevOps bottlenecks. Enterprise engineering teams rely on the platform to maintain compliance with GDPR, HIPAA, and global privacy frameworks.
Founded year:2011
Founder:Michael Litner, Eyal Arbel, Roman Golod
Team size:11-25
Popularity:Thousands of databases processed globally across enterprise banking, insurance, and healthcare sectors
HQ:New York, New York, United States
Status:Active
Funding status:Funded
Customer type:B2B
Funding:$16M Series A
Pricing:Usage-based
Tech stack:AI Data Engines, Cloud Infrastructure, Docker, REST APIs
Generates virtual database copies with instant self-service provisioning for DevOps and QA.
Uses AI to discover sensitive PII/PHI and perform automatic data masking.
Enables version control, rewind, and replication of virtual test data like code.
Automates compliance auditing across hybrid and multi-cloud database environments.
Who it's for
DevOps & Software Engineering Teams
QA & Automated Testing Specialists
Data Privacy & Compliance Officers
Enterprise IT & Database Administrators
Why it works
Database virtualization reduces storage overhead and shortens environment setup times from days to minutes.
AI-driven sensitive data discovery replaces manual masking rule creation across complex relational databases.
Self-service developer portal eliminates ticket requests to database administrators for fresh test data.
Modular architectural options allow deployment as standalone anonymization or an end-to-end DataOps suite.
Founder story
Accelario was founded in 2011 by Michael Litner, Eyal Arbel, and Roman Golod in New York City. As database delivery repeatedly stalled agile development sprints, the founders recognized that manual data provisioning and data privacy compliance were becoming critical enterprise bottlenecks. To solve this, they built an automated DataOps platform that combines self-service database virtualization with AI-driven masking to deliver safe, realistic test data instantly.
Alternatives
Comparison overview
Accelario combines database virtualization with built-in AI data anonymization inside a single self-service platform.
Unlike traditional legacy TDM software like Delphix, Accelario focuses on lightweight deployment, automated PII discovery, and usage-based capacity pricing.