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Privado AI
What it is
Privado AI helps privacy teams automate compliance work and find personal data across websites, apps, backend systems, and third-party software. Its dynamic data maps scan software, contracts, and documentation to identify personal data, third parties, data flows, and processing purposes. Wren, its AI privacy agent, analyzes documents and other sources to populate PIAs, DPIAs, and RoPAs. Web Auditor simulates consent actions and checks websites for banners, cookies, pixels, and data flows against privacy laws; App Auditor scans iOS and Android apps for consent banners, SDKs, data flows, and sensitive data leaks. The service names Jira, Confluence, Linear, OneTrust, and TrustArc integrations, plus API integrations. Web Auditor needs website URLs and scan locations; App Auditor needs an app store URL or APK/IPA files. Neither requires integration or implementation. The Privacy Management Platform typically takes 1–3 weeks of implementation support, while Wren can be implemented in a few days. Pricing starts at $600/mo (annual).
For and against
For
- Maps personal data, third parties, flows, and purposes.
- Wren populates PIAs, DPIAs, and RoPAs.
- Audits websites and iOS and Android apps.
- Dedicated customer success manager at no additional cost.
- Says customer data and code are not used for AI training.
Against
- Paid plans start at $600/mo (annual).
- Web Auditor has a four-website minimum.
- App Auditor counts iOS and Android versions as two apps.
- Privacy Management Platform typically needs 1–3 weeks of support.
The verdict
Privado AI combines privacy assessments, data mapping, and web and app auditing. Its plan requirements and annual starting price are important to weigh against the compliance work a team needs to automate.
Who it suits
It suits privacy teams seeking automated assessments and visibility across web, app, backend, and third-party software. Teams should consider the listed per-site, per-app, and assessment limits when choosing a plan.
Plans and prices
Web Auditor
4-website minimum · volume discounts · no developer implementation
Read 15 Oct 2026 · privado.ai
App Auditor
iOS and Android versions count as 2 apps · volume discounts · no developer implementation
Read 15 Oct 2026 · privado.ai
Wren – AI privacy agent
up to 500 assessments · volume discounts · no developer implementation
Read 15 Oct 2026 · privado.ai
Privacy Management Platform
custom pricing · volume discounts · little to no developer effort
Read 15 Oct 2026 · privado.ai
On the record
- Access controls
- The security overview says role-based access control is available on all accounts and employee access to customer data is restricted except for limited support cases.privado.ai · read 15 Oct 2026
- Agentic assessments
- Its agents populate PIA, DPIA, RoPA, TIA, vendor, and other assessment forms from documents, contracts, SaaS applications, and code.privado.ai · read 15 Oct 2026
- API and SDK extensibility
- Privado documentation says third parties are detected through API-to-API integrations or specific SDK rules.docs.privado.ai · read 15 Oct 2026
- App auditing
- App Auditor scans iOS and Android apps for consent banners, SDKs, data flows, and sensitive data leaks.privado.ai · read 8 Oct 2026
- App Auditor
- App Auditor scans mobile applications for consent problems, trackers, SDKs, permissions, leaks, and data flows.privado.ai · read 15 Oct 2026
- Assessments
- Wren analyzes documents and other sources to populate PIAs, DPIAs, and RoPAs.privado.ai · read 8 Oct 2026
- Code scanning
- Source-code scanning identifies personal-data flows, overcollection, third-party sharing, and risks before or after software release.privado.ai · read 15 Oct 2026
- Company profile
- LinkedIn lists Privado AI as privately held, founded in 2020, headquartered in New York, and employing 51–200 people.linkedin.com · read 15 Oct 2026
- Compliance checks
- Web and app audits include more than 50 preset checks covering regulations including CCPA, CIPA, GDPR, PIPEDA, and IAB TCF.g2.com · read 15 Oct 2026
- Consent testing
- Audits test accept, reject, and no-action consent paths and compare resulting third-party data sharing with regulatory requirements.privado.ai · read 15 Oct 2026
- Customer data
- Privado AI says it does not use customer data or code to train AI/ML models and does not store or share that data with third parties.privado.ai · read 8 Oct 2026
- Customer-data training
- Privado AI states that customer data and code are not used to train its AI or machine-learning models and are not stored or shared with third parties.privado.ai · read 15 Oct 2026
- Documentation scope
- Privado's documentation includes rules for data sinks, third parties, security reporting, and Android Play Store Data Safety reports.docs.privado.ai · read 15 Oct 2026
- Dynamic data maps
- The platform maps personal-data collection, use, sharing, and storage across internally developed and third-party systems.privado.ai · read 15 Oct 2026
- Funding news
- Privado announced a $17.5 million Series A on August 23, 2022, from Insight Partners, Sequoia Capital India, Together Fund, and Emergent Ventures.privado.ai · read 15 Oct 2026
- Implementation limits
- Web Auditor needs website URLs and scan locations, while App Auditor needs an app store URL or APK/IPA files; neither requires integration or implementation.privado.ai · read 8 Oct 2026
- Independent KPMG description
- A 2025 KPMG brochure describes Privado.ai capabilities for website, mobile-app, source-code, marketing-tool, SDK, compliance, risk, and data-map assessment.assets.kpmg.com · read 15 Oct 2026
- Integrations
- The site names Jira, Confluence, Linear, OneTrust, and TrustArc integrations, as well as API integrations for third-party apps.privado.ai · read 8 Oct 2026
