Nomic AI is a New York-based artificial intelligence company building tools to make large, unstructured datasets and AI models understandable and usable by everyone. It is best known for Atlas, a browser-based platform for visualizing and interacting with massive datasets; the open-source Nomic Embed family of text, code, and multimodal embedding models; and GPT4All, an ecosystem for running large language models privately on everyday hardware. Since 2025 the company has focused its platform on the architecture, engineering, and construction (AEC) sector, applying its embedding and retrieval technology to drawing review, code compliance, and document-heavy construction workflows.
Chorology, Inc. is a San Jose-based data security and compliance startup that uses a Deep-AI 'knowledge encoding' engine - rather than conventional machine learning - to automatically discover, classify, and map an enterprise's sensitive data across structured and unstructured repositories. Its flagship platform, CAPE (Compliance and Posture Enforcer), aims to give organizations a continuous, mandate-agnostic view of where regulated data lives so they can enforce data security posture and meet frameworks like GDPR, CCPA, and HIPAA. Founded by serial cybersecurity entrepreneur Tarique Mustafa, the company emerged from stealth in July 2024 with $9M in funding and a roster of early Fortune 500 users.
DataGrail is a San Francisco-based data privacy company that helps modern brands automate compliance with regulations like GDPR, CCPA, and CPRA. Its Agentic Data Privacy Platform - powered by an AI privacy agent named Vera and backed by more than 2,500 pre-built integrations - handles the unglamorous plumbing of privacy: mapping where personal data lives, fulfilling data subject requests, managing consent, and running privacy and AI risk assessments. Founded in 2018 by three data and go-to-market veterans, it counts Salesforce, Databricks, Instacart, and Major League Soccer among its customers.
Osano is an Austin-based data privacy platform that helps companies comply with GDPR, CCPA, and 95+ global privacy laws through consent management, cookie banners, subject rights automation, data mapping, vendor risk monitoring, and privacy assessments. Founded in 2018, it is the first data privacy platform certified as a B Corporation and backs its software with an industry-only 'No Fines, No Penalties' guarantee. Osano processes over a billion consents a month for thousands of companies.
Relyance AI is a San Francisco-based enterprise software company that maps how data actually moves through an organization - from source code and cloud infrastructure to third-party apps and AI models - and continuously checks that movement against customer contracts, privacy regulations, and compliance frameworks. Founded in 2020 by Abhi Sharma and Leila Golchehreh, the company sells an AI-native data governance and security platform used by companies including Coinbase, Snowflake, Notion, Plaid, and Canva. It raised a $32M Series B in October 2024 led by Thomvest Ventures, bringing total funding to roughly $62-67M.

Jad Boutros is the co-founder and CEO of TerraTrue, a San Francisco privacy-and-security automation company he started in 2018 with former Snap general counsel Chris Handman. Before building software to make privacy reviews painless, Boutros spent nine years on Google's information security team leading security for its social products, then became Snap's first Chief Security Officer, where he and Handman ran thousands of privacy reviews a year out of a Google spreadsheet that ballooned past 100 tabs. TerraTrue is the product that spreadsheet should have been: a single source of truth that bakes privacy-by-design into the software development lifecycle.
TerraTrue is a San Francisco privacy and security platform that bakes compliance into the product-development process instead of bolting it on at the end. Founded in 2018 by two former Snap executives, it automates privacy, AI, and third-party risk reviews from intake to approval - flagging GDPR, CCPA, and AI Act issues while products are still being designed, not after they ship. Customers like Lyft, Roku, and Elastic use it to turn slow legal bottlenecks into fast, repeatable workflows.
Transcend is the compliance layer for customer data. Founded by two Harvard students who couldn't get their own data back from the apps they used, the company builds privacy and AI-governance infrastructure that automates data mapping, data subject requests, consent management, and oversight of data flowing in and out of large language models. Its software powers modern data rights for more than 1.2 billion people across Fortune 100 brands and category leaders.