Privado AI
Privado AI automates privacy compliance work for teams that need visibility into personal data and help completing assessments.
What Privado AI is
Privado AI automates privacy compliance work for teams that need visibility into personal data and help completing assessments. Its Wren AI agent analyzes documents and other sources to populate PIAs, DPIAs, and RoPAs. Dynamic data maps scan software, contracts, and documentation to identify personal data, third parties, data flows, and processing purposes. 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. Named integrations include Jira, Confluence, Linear, OneTrust, TrustArc, and third-party apps through APIs. Web Auditor requires website URLs and scan locations, while App Auditor requires an app store URL or APK/IPA files. The platform is cloud-based and available on web, iOS, Android, and through an API. The company says customer data and code are not used to train AI/ML models or stored or shared with third parties. It also describes SOC 2 certification, encryption, and dedicated customer success support at no additional cost.
Good
- Wren populates PIAs, DPIAs, and RoPAs from source materials.
- Audits websites and iOS and Android apps.
- Maps data across software, contracts, and documentation.
- Dedicated customer success manager at no additional cost.
Watch out
- Web Auditor has a four-website minimum.
- Privacy Management Platform implementation typically takes 1–3 weeks.
Who it suits
Privado AI suits privacy teams seeking to automate compliance work and see data flows across web, apps, backend, and third-party software. Its auditing and assessment tools are geared to organizations managing website, app, and privacy documentation workflows.
Verdict
Privado AI combines data mapping, assessments, and website and app auditing for privacy teams. Check the annual plan terms and implementation needs against your workflow before choosing a plan.
Plans and prices
From Privado AI's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Web Auditor | $600 a month | 4-website minimum · volume discounts · no developer implementation · annually |
| App Auditor | $800 a month | iOS and Android versions count as 2 apps · volume discounts · no developer implementation · annually |
| Wren – AI privacy agent | $4,200 a month | up to 500 assessments · volume discounts · no developer implementation · annually |
| Privacy Management Platform | Priced on request | custom pricing · volume discounts · little to no developer effort |
The facts
Each one read from Privado AI's own pages, with the date it was checked.
What it does
- 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.checked 15 Oct 2026
- Agentic assessments
- Its agents populate PIA, DPIA, RoPA, TIA, vendor, and other assessment forms from documents, contracts, SaaS applications, and code.checked 15 Oct 2026
- API and SDK extensibility
- Privado documentation says third parties are detected through API-to-API integrations or specific SDK rules.checked 15 Oct 2026
- Assessments
- Wren analyzes documents and other sources to populate PIAs, DPIAs, and RoPAs.checked 8 Oct 2026
- Code scanning
- Source-code scanning identifies personal-data flows, overcollection, third-party sharing, and risks before or after software release.checked 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.checked 15 Oct 2026
- Consent testing
- Audits test accept, reject, and no-action consent paths and compare resulting third-party data sharing with regulatory requirements.checked 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.checked 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.checked 15 Oct 2026
- Documentation scope
- Privado's documentation includes rules for data sinks, third parties, security reporting, and Android Play Store Data Safety reports.checked 15 Oct 2026
- Dynamic data maps
- The platform maps personal-data collection, use, sharing, and storage across internally developed and third-party systems.checked 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.checked 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.checked 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.checked 15 Oct 2026
- Integrations
- The site names Jira, Confluence, Linear, OneTrust, and TrustArc integrations, as well as API integrations for third-party apps.checked 8 Oct 2026
- Legal entity and founders
- Crunchbase lists the legal name as Privado Inc and names Jasdeep Cheema, Prashant Mahajan, and Vaibhav Antil as founders.checked 15 Oct 2026
- Limit: alert prioritization
- A reviewer says the initial learning curve is steep and alerts are not always prioritized clearly between urgent and informational findings.checked 15 Oct 2026
- Limit: false positives
- Several G2 reviewers report occasional or frequent false positives and alerts that require additional triage.checked 15 Oct 2026
- Limit: integration effort
- One reviewer reports repeatedly failing to connect a programming language to the dashboard before eventual setup and receiving limited integration help.checked 15 Oct 2026
- Limit: missing execution tools
- A G2 reviewer says implementation can require substantial engineering resources and lacks built-in tools such as data-deletion portals.checked 15 Oct 2026
- Limit: remediation detail
- Reviewers say some flagged issues are difficult to resolve because guidance is high-level and Jira ticket details are not comprehensive or stack-specific.checked 15 Oct 2026
Where it runs
- App auditing
- App Auditor scans iOS and Android apps for consent banners, SDKs, data flows, and sensitive data leaks.checked 8 Oct 2026
- App Auditor
- App Auditor scans mobile applications for consent problems, trackers, SDKs, permissions, leaks, and data flows.checked 15 Oct 2026
The company
- Company profile
- LinkedIn lists Privado AI as privately held, founded in 2020, headquartered in New York, and employing 51–200 people.checked 15 Oct 2026
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