PrivacyOS provides AI governance and data privacy services that let businesses use AI/ML without exposing sensitive information. Their platform replaces confidential data with synthetic equivalents before model input, offers automated privacy policy analysis, and ensures compliance with regulations, while also enabling privacy‑preserving content generation to protect brand trust. This turnkey solution acts as a data‑privacy firewall for AI deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses that want to leverage AI/ML often must expose sensitive customer or proprietary data to models, creating compliance risks with regulations such as GDPR and CCPA and threatening brand trust.
Solution
PrivacyOS offers an AI governance platform that protects data privacy while enabling AI-driven workflows. The service replaces confidential inputs with high‑fidelity synthetic data before they reach machine‑learning models, ensuring that no real personal information is processed. It automatically scans and evaluates privacy policies to verify alignment with current regulatory standards, helping organizations maintain compliance. The platform also provides privacy‑preserving content generation tools that produce AI‑generated outputs without leaking sensitive details. Integrated AI ethics and governance controls guide responsible model use across the enterprise, and 24/7 support assists teams in implementing and maintaining privacy safeguards.
Target Audience
Primary customers are mid‑size to large enterprises and AI‑focused startups that develop or deploy machine‑learning models handling personal or confidential data.
Features
- Synthetic data generation engine that creates statistically equivalent, non‑identifiable datasets for model training and inference
- Automated privacy policy analysis with continuous monitoring against GDPR, CCPA, and other global standards
- Privacy‑preserving content generation module that masks or removes sensitive information from AI outputs
- AI ethics and governance framework that enforces responsible model deployment, bias checks, and audit trails
- Dashboard and API for real‑time compliance reporting and integration with existing AI pipelines
- 24/7 customer support and guidance for privacy incident response and regulatory inquiries