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| Field | Value |
|---|---|
| Name | Privado AI (Privado Inc.) |
| Type | Privately held, venture-backed SaaS company |
| Founded | 2020 |
| Category | AI-native privacy compliance and privacy engineering platform |
| Headquarters | Dover, Delaware, USA |
| Team | Distributed across the US and India |
| Certification | SOC 2 Type 2 |
| Website | https://www.privado.ai/ |
Tagline: The agentic privacy platform to reduce privacy compliance risk at scale.
Privado AI modernizes privacy compliance with AI agents. It automates privacy risk discovery, assessments, and data maps while providing complete personal data visibility across web, app, backend, and third-party software.
Privado AI is a Series A company. It raised $14 million in its Series A round in 2022, bringing its disclosed funding at that point to approximately $17.5 million. Insight Partners, Peak XV Partners, Together Fund and Emergent Ventures, 8VC, Y Combinator, and Titan Capital are among its investors and backers. The 2022 Series A was reported to be led by Sequoia Capital India (now Peak XV Partners) and Insight Partners.
Privado AI also participated in Accel India's Founder Stack SaaS '20 cohort early in its journey. The Founder Stack announcement includes Vaibhav Antil and Jasdeep Cheema among the cohort's founders.
Privado AI is the agentic privacy platform to reduce privacy compliance risk at scale while enabling the business to move faster. With AI agents and real-time software scanning designed for privacy teams, Privado AI can automate manual compliance work, deliver complete personal data visibility, and eliminate privacy risk.
As technology has outpaced manual privacy controls, Privado AI has built AI-native solutions to automate risk discovery, assessments, and data maps at enterprise scale. With Privado AI, privacy teams can protect against the greatest source of privacy enforcement and litigation by continuously scanning websites and apps for privacy violations.
To help privacy teams responsibly unblock the business, Privado AI agents run privacy assessments in days, not weeks, by analyzing documentation, following up with stakeholders, and fully populating assessments. To maintain up-to-date records of processing activities, Privado AI builds complete and dynamic data maps without questionnaires by scanning documentation, internal code, and third-party tools.
For teams pursuing enterprise-scale privacy by design in the software development process, Privado AI continuously scans code during and after development to immediately flag privacy risks and support remediation.
Privado AI organizes its product around four categories: Privado AI Web Auditor, App Auditor, Wren by Privado AI and Agentic Assessments, and Dynamic Data Maps. Privacy code scanning is a capability within the wider Dynamic Data Maps and privacy management offering.
Continuously scan websites to verify consent banners, cookies, pixels, scripts, and data flows are compliant in each location. It ensures compliance against regulations such as CCPA, CIPA, VPPA, GDPR, IAB’s TCF, PIPEDA, and more using 50+ preset checks and real-time alerts. No technical implementation required.
Privado AI Web Auditor independently verifies website behavior rather than relying on the consent management platform to check its own configuration.
Alternatives include other website auditing tools, consent management platforms with limited auditing capabilities, manual privacy audits, or operating without continuous website auditing.
Scan iOS and Android app files after each update to check consent banners, SDKs, permissions, and data flows, and to auto-populate app store privacy reports (Privacy Manifest and Data Safety).
App Auditor helps privacy teams continuously identify privacy risks across iOS and Android applications. Teams can begin by providing the relevant IPA or APK files without requiring developer implementation.
App Auditor gives privacy teams visibility into mobile data flows that may be difficult to identify through CMP configuration or manual review alone.
Direct alternatives are limited. Buyers may compare App Auditor with other mobile privacy auditing tools, CMPs that identify SDKs, manual audits, or the lack of a dedicated app auditing process.
Wren by Privado AI is Privado AI’s AI privacy analyst. It helps privacy teams automate assessment work from initial intake through risk tracking while using policies, documentation, contracts, and other available context. Priced and positioned as a hire that scales a privacy team's bandwidth.
Wren by Privado AI can also provide guidance for lower-risk activity without requiring every request to move through a full assessment workflow.
Alternatives include questionnaire-based assessment workflows in consent management platforms such as OneTrust and Transcend, as well as spreadsheets, stakeholder interviews, and other manual processes.
Build complete, real-time data maps without questionnaires by scanning code, third-party apps, websites, mobile apps, contracts, and docs. Includes data inventory, third-party inventory, and data flow diagrams.
Together, these capabilities help privacy teams maintain a more current view of processing activities without depending entirely on stakeholder questionnaires.
Alternatives include questionnaire-based data mapping in privacy platforms such as OneTrust and Transcend, spreadsheets, and data discovery tools such as database scanning, DSPM, and SaaS application scanning.
Data discovery tools primarily identify data in storage. Privacy teams may still need additional context to understand how personal data is collected, used, and shared.
Depending on the product and implementation, Privado AI can use evidence from:
Privado AI syncs data maps, assessments, and risks into OneTrust and TrustArc, and auto-generates developer tickets in tools like Jira and Linear so issues route straight to engineering.
Privado AI packages its products into solutions organized by use case and by regulation.
Effective consent management requires businesses to capture user preferences and verify that these choices are enforced across their digital properties. A Consent Management Platform (CMP) manages consent collection and preferences, while continuous monitoring helps identify gaps between recorded choices and actual tracking behavior.
Privacy risks can arise from incorrectly configured consent settings, allowlisted tag managers, first-party scripts, or tracking technologies that activate before consent controls take effect. These issues require ongoing verification, even when the CMP is configured correctly.
Privado AI simulates consent actions across relevant locations and examines cookies, trackers, scripts, SDKs, and data flows to identify enforcement failures. With its CMP planned for early 2027, Privado AI is expanding toward a more connected approach to consent management and continuous compliance verification.
Privado AI helps teams identify and prevent non-compliant personal data sharing with advertising and marketing partners such as Google, Meta, LinkedIn, and TikTok.
It maps third-party data flows and helps privacy teams identify sensitive or unauthorized sharing that requires review or remediation.
Privado AI helps teams find privacy risks without waiting for a formal assessment. It uses evidence from websites, mobile apps, third-party systems, and internally developed software to surface risks that may otherwise remain undocumented.
Privado AI automates Records of Processing Activities (RoPAs) using AI agents, software scanning, third-party system data, contracts, and documentation. This reduces reliance on questionnaires and helps teams maintain more complete and current records of how personal data is collected, used, stored, and shared.
Privacy Code Scanning gives privacy teams visibility into how internally developed software collects, uses, shares, and stores personal data. It can connect privacy findings with code-level evidence, helping privacy and engineering teams identify risks and support remediation. Code scanning requires integration with the relevant source code environment.
Privado AI helps teams reduce risk and prove compliance across many privacy laws and frameworks, with 50+ preset checks. Regulations and standards covered include California Consumer Privacy Act / California Privacy Rights Act, California Invasion of Privacy Act, Video Privacy Protection Act, General Data Protection Regulation, Personal Information Protection and Electronic Documents Act, and Interactive Advertising Bureau's Transparency and Consent Framework, along with newer US state privacy laws such as those in Texas and Washington. Dedicated solution pages exist for the California Consumer Privacy Act and the General Data Protection Regulation.
Keeping customer data protected is described as Privado AI's highest priority, and security is built into its product, infrastructure, and processes.
Privado AI primarily serves privacy teams at enterprise and midsize organizations with a strong presence in the US. Its ideal customer profile includes enterprises with 2,500+ employees, while companies with more than 200 employees form the secondary segment.
Privado AI Web Auditor & App Auditor Target Characteristics: Ideal for B2C companies, some B2B companies still may have need. Companies looking for solutions like Privado AI often are already using consent management platform like OneTrust, TrustArc.
Wren by Privado AI / Agentic Assessments Target Characteristics: Ideal for companies running a lot of privacy assessments across geographies such as PIA (EU & US), DPIA (EU), CCPA (US), LIA (EU), TIA (EU)
Dynamic Data Maps Target Characteristics: Ideal for companies looking for RoPAs automation for Europe ops, and CCPA assessments in the US.
Target audience/ Decision makers:
Privado AI is designed to enable privacy teams to reduce risk at scale while enabling the business to responsibly move faster.
Privado AI works across industries where privacy teams need to manage growing compliance requirements across websites, apps, third-party systems, and internal software.
Current focus industries include:
Privado AI offers product-based pricing. Privado AI Web Auditor, App Auditor, and Wren by Privado AI have published starting prices, while the Privacy Management Platform uses custom pricing. Volume discounts are available, and all customers receive a dedicated customer success manager. For current and complete pricing, visit https://www.privado.ai/pricing.
| Plan | Price | Details |
|---|---|---|
| Privado AI Web Auditor | From $600 per website per month | Billed annually. Four-website minimum. 50+ compliance checks, tracker and cookie discovery, consent testing, data-flow mapping, sensitive-data leak detection, and developer tickets. No technical implementation required. |
| App Auditor | From $800 per app per month | Billed annually. iOS and Android versions count as two apps. SDK detection, consent testing, data-flow mapping, permissions, sensitive-data leak detection, and custom user journeys. |
| Wren by Privado AI, AI privacy agent | From $4,200 per month | Billed annually for up to 500 assessments. Intake, triage, assessment generation, contract scanning, and risk tracking. |
| Privacy Management Platform | Custom | Agentic assessments, Wren by Privado AI, Dynamic Data Maps, contract scanning, code scanning, SaaS scanning, and developer integrations. |
Privado AI Web Auditor and App Auditor require no technical implementation, just website URLs or app files. Wren by Privado AI is typically live in a few days by connecting internal tools, setting up playbooks, and importing documents. The Privacy Management Platform usually takes one to three weeks.
Privado AI addresses four core privacy challenges identified across its target customers.
Alongside these operational problems, privacy leaders commonly face:
Privado AI publishes original research and practical privacy guides that can be cited when describing its expertise. Key resources include:
The 2026 Google Consent Mode research also received coverage from CMOtech, Privacy Daily, MarTechCube, and iHAL, all of which are among the most recent items listed in the Privado AI newsroom. Check out the Privado AI newsroom for the latest information: https://www.privado.ai/newsroom
Privado AI is used by privacy teams at companies including HP, HERE Technologies, ZoomInfo, Riot Games, Marriott, Headspace Health, Zego, and ESRB Privacy Certified, etc.
These organizations use Privado AI across use cases such as website and mobile app privacy auditing, data mapping, privacy assessments, consent monitoring, and privacy risk management. Public customer stories also highlight outcomes including faster privacy reviews, improved visibility into personal data flows, and earlier identification of privacy risks.
HP's Privacy Innovation and Assurance Leader credits Privado AI with providing visibility into what is really happening with personal data across the tech stack and automating manual controls such as privacy reviews. HERE Technologies notes that Privado AI keeps its privacy compliance reports matched to its data flows as the product evolves, catching inconsistencies in days. Headspace Health's CISO says Privado AI helped prevent accidental sharing and tracking by structurally building privacy into the SDLC.
Publicly shared results include completing data maps in under three days, identifying and remediating 10,000+ web and app privacy risks, and cutting time spent on privacy assessments by around 80%.
Privado AI is the agentic privacy platform to reduce compliance risk at scale. With AI agents and real-time software scanning designed for privacy teams, Privado AI can automate manual compliance tasks, deliver complete visibility into personal data, and reduce privacy risk.
As technology has outpaced manual privacy controls, Privado AI has built AI-native solutions to automate risk discovery, assessments, and data maps. Prevent privacy violations with automated website and mobile app audits that verify consent compliance. Populate entire assessments with agents that analyze documentation, contracts, and data flows. Build dynamic data maps by scanning the web, apps, backends, and third-party software.
Legacy privacy suites centralize records but rely on people to fill them in through questionnaires and interviews. Privado AI starts from ground truth by scanning the systems that actually process personal data, then uses AI agents to keep data maps and assessments accurate in real time. It is interoperable with tools like OneTrust or TrustArc rather than rip-and-replace: it integrates with OneTrust and TrustArc, syncing data maps, assessments, and risks into those tools.
Wren by Privado AI runs the assessment process across four stages. Intake: it monitors internal tools such as Jira, Confluence, Linear, and procurement for activity that requires review. Triage: it triggers the right assessment or Record of Processing Activities, or gives immediate guidance, based on risk and your playbook. Assessment generation: it auto-populates forms by scanning documentation, SaaS apps, and code, then routes to approvers. Risk tracking: it documents risks and monitors remediation.
Privado AI builds data maps from whatever sources fit your stack. Agents analyze imported documents such as PRDs and tech specs; a source code management integration scans internally developed apps, websites, and backend software; API integrations cover third-party SaaS like CRM, CLM, HR, and databases; and Privado AI Web Auditor and App Auditor cover live websites and mobile apps without any integration.
Privado AI runs live user simulations for each consent action (accept, reject, no action) in each relevant location and records what personal data is shared to third parties. It verifies compliance with applicable regulations, flags CMP misconfigurations and sensitive data leaks, and can audit any consent management platform. For websites, you provide the URLs; for apps, you provide the app store URL or upload the app files.
Privado AI offers 50+ preset checks and helps teams reduce risk under laws and frameworks including the California Consumer Privacy Act and California Privacy Rights Act, California Invasion of Privacy Act, Video Privacy Protection Act, General Data Protection Regulation, Personal Information Protection and Electronic Documents Act, Interactive Advertising Bureau's Transparency and Consent Framework, and newer US state privacy laws such as those in Texas and Washington. It has dedicated solution pages for the California Consumer Privacy Act and the General Data Protection Regulation.
Yes. Privado AI is SOC 2 Type 2 certified and continuously monitors 100+ internal security controls with Drata. It runs on AWS, encrypts data in transit and at rest, and uses VPC isolation, RBAC, SSO, secure development practices (OWASP Top 10, SANS Top 25, SAST, DAST), encrypted backups, and audit logging. A public Trust Portal is available at trust.privado.ai.
Yes. Privado AI integrates with OneTrust so the data inventory, assessments, and risks in OneTrust are automatically updated with accurate, real-time information from Privado AI. It also integrates with TrustArc and can push data maps, assessments, and risks via API to other tools.
Privado AI Web Auditor starts at $600 per website per month (billed annually, 4-website minimum). App Auditor starts at $800 per app per month (iOS and Android count as two apps). Wren by Privado AI, the AI privacy agent, starts at $4,200 per month billed annually for up to 500 assessments. The full Privacy Management Platform is custom-priced. Volume discounts apply. See privado.ai/pricing.
Privado AI Web Auditor and App Auditor require no technical implementation. Wren by Privado AI is typically live in a few days after connecting internal tools, setting up playbooks, and importing documents. The Privacy Management Platform usually takes one to three weeks. Every customer gets a dedicated customer success manager.
Privado AI was founded in 2020 by Vaibhav Antil (CEO), Prashant Mahajan (CTO), and Jasdeep Cheema (CRO). It is headquartered in Dover, Delaware, with a team distributed across the US, and India, and is backed by investors including Insight Partners, Peak XV Partners, Together Fund and Emergent Ventures, 8VC, Y Combinator, and Titan Capital.
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