Ethyca

Company Profile

Data infrastructure for enterprise AI

www.ethyca.com

Ethyca builds the data infrastructure that makes enterprise AI trustworthy, governed, and ready for scale. Its platform automates the continuous classification, policy enforcement, and auditing of data across cloud, on-prem, and AI systems, turning governance from a manual afterthought into embedded infrastructure. By binding context, consent, and purpose directly to the data itself, Ethyca enables organizations to accelerate AI adoption with full confidence in compliance, transparency, and accountability. Processing 750m privacy preferences annually, Ethyca has saved $40m+ for enterprises through privacy automation.

Products and Services

  • Data Intelligence: Continuously discover, classify, and contextualize sensitive data across hybrid environments to create a live inventory of governed assets.
  • Policy Engine: Define how data can be used and automatically enforce those rules across APIs, pipelines, and models at runtime.
  • Trust Automation: Synchronize permissions, retention, and lineage in real time to ensure accuracy and accountability across all systems.
  • AI Governance: Monitor and audit the flow of data into AI systems to guarantee transparency and regulatory compliance.
  • DSR Automation: Reduce data subject request response time from days to 17.2 seconds (from access to deletion to de-identification) across your entire technology stack.
  • Automated Policy-Based Data Sharing: With Astralis, automate the evaluation and control of data sharing across systems to ensure every data point consumed automatically complies with organizational policies and regulatory requirements. This is permissioned data sharing, at scale, ready for AI deployments.
Ethyca’s Astralis product acts as a control layer between enterprise data and its consumers, applying contextual, consent, deidentification, and enforcement rules so only compliant information flows to downstream tools.

Top 3 Benefits

  • AI Data Readiness at Scale: Ethyca provides the foundation for responsible AI by ensuring every dataset is classified, permissioned, and auditable in real time.
  • Automated Governance: Its continuous observability and enforcement engine eliminates manual oversight, embedding compliance directly into data pipelines and AI workflows.
  • Unified Trust Architecture: Ethyca bridges privacy, security, and AI governance through a single open framework that integrates seamlessly with modern data infrastructure.

Learn More About

Ramp x Ethyca Case Study: Rebuilding Privacy as Engineering Infrastructure

  • When Ramp’s privacy team hit the limits of traditional compliance tools, they didn’t patch the system, they rebuilt it. In partnership with Ethyca, Ramp transformed privacy into an engineering discipline, automating rights requests, mapping data across $100B+ in transactions, and extending open-source taxonomies to model complex fintech systems. The result: a governance layer owned by engineers, trusted by legal, and ready for AI.

SurveyMonkey x Ethyca Case Study: How Engineering-Led Governance Became the Foundation for AI

  • When SurveyMonkey expanded into regulated sectors, its manual privacy systems couldn’t scale. Partnering with Ethyca, the company rebuilt governance as code — automating DSARs, enforcing consent in real time, and unifying legal and engineering teams across four petabytes of sensitive data. The result: compliance cycles cut from seven days to 48 hours and a foundation built for AI at enterprise scale. A blueprint for data leaders who treat governance as infrastructure, not oversight.