This startup provides AI and machine learning infrastructure for data privacy and security engineering. Their platform offers ML-driven APIs to help companies reliably protect user data and ensure compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing challenges in protecting sensitive user data and ensuring compliance with evolving data privacy regulations like HIPAA, GDPR, and SOC 2. Traditional approaches to data protection often involve exporting, de-identifying, and re-uploading data, which can be costly, inefficient, and may not accurately reflect production environments. This complexity creates barriers to innovation and collaboration, particularly for smaller development teams and regulated industries.
Solution
Corewood AI provides self-hosted, private AI solutions that enable organizations to maintain data sovereignty and comply with modern Governance, Risk management, and Compliance (GRC) requirements. Their flagship product, Masquer, uses a zero-copy architecture to mask sensitive data in place, eliminating the need for data exports and duplicates. By integrating governance controls, audit trails, and regulatory frameworks directly into AI deployments, Corewood AI streamlines compliance processes and reduces the risk of data breaches. The platform ensures that sensitive data never leaves the customer's environment, providing complete control over AI infrastructure and data processing. This approach allows organizations to leverage cutting-edge AI capabilities while adhering to strict data privacy standards and maintaining engineering effectiveness.
Target Audience
Corewood AI targets organizations in regulated industries, such as healthcare and finance, as well as any company that handles sensitive user data and needs to comply with data privacy regulations like HIPAA, GDPR, and SOC 2.
Features
- On-premises deployment ensures sensitive data remains within the organization's secure environment.
- Zero-copy architecture masks data in place, eliminating the need for data duplication and exports.
- Integrated governance, risk management, and compliance (GRC) frameworks for HIPAA, GDPR, and SOC 2.
- Automated audit trails and governance controls for continuous monitoring and compliance.
- AI-powered PII detection and classification for identifying and protecting sensitive data.
- Role-based access control and policy enforcement for secure data access management.
- Real-time data masking to prevent unauthorized access to sensitive information.