
Baffle is a data security platform that protects data across the entire analytics pipeline, from ingestion into object stores to analysis in open-source databases. Their solution offers masking, tokenization, and encryption with role-based access control for individual data values, regardless of where the data is stored or used. Baffle's platform is designed for seamless integration with minimal performance impact and no application code changes, enabling companies to achieve compliance and securely adopt GenAI use cases. They protect data for Fortune 500 and Global 2000 enterprises, having secured over 100 billion records. Key benefits include ease of deployment, speed in achieving compliance, comprehensive protection, user control, and seamless integration across cloud and on-premises environments. The company has also pioneered a data-centric approach with patented privacy-enhanced computation.

Baffle is a data security platform that protects data across the entire analytics pipeline, from ingestion into object stores to analysis in open-source databases. Their solution offers masking, tokenization, and encryption with role-based access control for individual data values, regardless of where the data is stored or used. Baffle's platform is designed for seamless integration with minimal performance impact and no application code changes, enabling companies to achieve compliance and securely adopt GenAI use cases. They protect data for Fortune 500 and Global 2000 enterprises, having secured over 100 billion records. Key benefits include ease of deployment, speed in achieving compliance, comprehensive protection, user control, and seamless integration across cloud and on-premises environments. The company has also pioneered a data-centric approach with patented privacy-enhanced computation.
Founded: 2015
Headquarters: Santa Clara, California
Product: No-code, data-centric platform for masking, tokenization, and database encryption with role-based access control
GenAI & vector DB: Capabilities to protect data used in GenAI workflows, including vector database protection for pgvector on PostgreSQL
Funding: Total ~$36.5M; $20M Series B (Aug 16, 2021) led by Celesta Capital
Compliance & awards: SOC 2 Type II compliance; InfoWorld 2024 Technology of the Year (Data Management: Governance)
Data security and privacy for cloud and analytics pipelines, including protection for GenAI workflows
2015
Data security
20,000,000 USD
Participants included National Grid Partners, Lytical Ventures, Nepenthe Capital; follow-on investors included True Ventures, Greenspring Associates, Clearvision Ventures, Thomvest Ventures, Engineering Capital, Triphammer Ventures.
10,500,000 USD
Earlier disclosed financing; company communications list investors including True Ventures, Envision Ventures, ServiceNow Ventures, Thomvest Ventures, Engineering Capital, and Industry Ventures.
“Backed by institutional venture investors including Celesta Capital, True Ventures, ServiceNow Ventures and others.”