data-masking
(5)
Synthesized
Synthesized is a London- and New York-based enterprise software company that automates the creation of production-realistic test data. Its AI-driven platform generates, masks, and subsets data from sensitive systems so teams can validate software, database migrations, and AI agents before they reach production - all while preserving privacy and meeting regulations such as GDPR. Founded in 2020 by Cambridge machine-learning PhD Nicolai Baldin, the company counts Deutsche Bank and UBS among its customers and raised a $20M Series A in September 2025.
K2view
K2view is an enterprise data company founded in 2009 and headquartered in Yokneam, Israel, with US operations in Texas. Its patented Data Product Platform is built on a proprietary micro-database technology that organizes fragmented enterprise data by business entity - a customer, order, product or loan - so each entity's data lives in its own encrypted, real-time, individually managed database. The approach powers data integration, test data management, data masking, synthetic data generation and, increasingly, AI-ready data pipelines that ground large language models and AI agents. K2view serves large enterprises in telecom, banking, healthcare, insurance and retail, including AT&T, Verizon, Vodafone and BBVA, and has raised roughly $43 million in funding.
Baffle, Inc.
Baffle, Inc. is a Santa Clara data security company that builds a no-code data protection platform - combining encryption, tokenization and masking - so enterprises can protect sensitive data across databases, cloud data warehouses and GenAI pipelines without rewriting application code.
Tonic.ai
Tonic.ai builds synthetic data infrastructure that lets engineering and AI teams work with realistic, privacy-safe stand-ins for production data. Its platform de-identifies, masks, subsets, and synthesizes both structured databases and unstructured text so developers can test software, train models, and feed LLM and RAG pipelines without exposing sensitive information. Founded in 2018 by a team out of Palantir and Tableau, the San Francisco company serves enterprises across finance, healthcare, and technology and has raised roughly $56M in venture funding.
Privacera
Privacera (now operating as Trust3 AI by Privacera) is a Newark, California-based enterprise software company that runs a unified data and AI access governance platform. Built by the co-creators of Apache Ranger, it gives Fortune 500 teams a single place to discover sensitive data, set policies, and enforce access across Snowflake, Databricks, AWS, Azure, GCP, and the new generation of LLM-powered apps.