Provides a test data management platform that combines database virtualization and AI-driven data anonymization to create secure, compliant, and realistic test environments. This solution reduces development bottlenecks by enabling instant provisioning of lightweight database copies and protecting sensitive data while supporting regulatory requirements like GDPR and HIPAA.
Funding
$10M 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
Software development and testing are often slowed down by the need to provision realistic test data, while also ensuring compliance with data privacy regulations. Traditional methods of creating test environments involve time-consuming manual processes and can expose sensitive data, increasing the risk of breaches and compliance violations.
Solution
Accelario provides a test data management platform that combines database virtualization and AI-driven data anonymization to enable agile software development and secure testing. The platform allows development, QA, and DevOps teams to instantly provision lightweight, virtualized copies of production databases, accelerating development cycles and reducing bottlenecks. Accelario's AI-powered data anonymization techniques ensure that sensitive data is protected while maintaining the realism and integrity of the test data. This enables organizations to accelerate application delivery, improve software quality, and maintain compliance with regulations like GDPR, CCPA, and HIPAA.
Target Audience
Accelario is designed for DevOps, engineering, and QA teams in organizations across various industries, including banking, insurance, telecoms, automotive, healthcare, and logistics, who need to accelerate software development while ensuring data privacy and compliance.
Features
- Database virtualization for instant provisioning of lightweight database copies
- AI-driven data anonymization to protect sensitive information while maintaining data realism
- Self-service portal for teams to independently manage and provision test data
- Automated data refresh from golden image for continuous testing cycles
- Seamless integration with existing databases, cloud environments, and DevOps tools
- Support for on-premise, hybrid, and multi-cloud environments
- Data subsetting to create smaller, relevant data sets for efficient testing
- Data versioning to track and revert to previous data states
- Real-time alerts for privacy risks across environments