Datagrail

Privacy & Security

DataGrail, founded in 2018 by Daniel Barber and Travis Schreiber, provides an agentic data privacy platform that automates compliance tasks such as data subject request (DSR) fulfillment, consent management, risk assessments, and data discovery.

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DataGrail sells a software platform that automates data privacy compliance, including handling consumer data requests, managing website consent, and assessing AI-related risks.

DataGrail, founded in 2018 by Daniel Barber and Travis Schreiber, provides an agentic data privacy platform that automates compliance tasks such as data subject request (DSR) fulfillment, consent management, risk assessments, and data discovery. The company is headquartered in the United States. Its platform, branded as the Agentic Data Privacy Platform, includes a live data map, a request manager that connects to over 2,500 applications, and an AI agent named Vera that offers context-aware recommendations.

DataGrail's 2026 Privacy and AI Trends Report, published in May 2026, analyzes anonymized data from hundreds of customers and a consent audit of 5,000 websites. The report notes a 567% increase in deletion requests since 2021 and that 63.6% of AI vendors do not disclose subprocessors. The company's customer base includes FanDuel, Netgear, Reformation, Dexcom, Okta, GoFundMe, Life360, Bark, MLS, Salesforce, and HubSpot.

DataGrail has not publicly disclosed its own revenue or funding rounds in the dossier; the only financial data present is from an unrelated company named GRAIL, Inc. The company's primary focus is on helping privacy teams scale amid rising regulatory complexity and AI adoption, with its platform emphasizing automation and risk management. The 2026 report highlights that 90% of privacy programs expanded in 2025 due to AI, yet only 12% of AI governance programs are considered mature.

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Who buys this

  • Privacy teams of any size, from a single person to large departments
  • Companies subject to US state privacy laws (e.g., CCPA, CPRA) and international regulations (e.g., GDPR)
  • Organizations with complex data stacks using many third-party applications (over 2,500 integrations)
  • Enterprises in regulated industries such as healthcare, finance, and gaming

Publicly disclosed clients

  • FanDuel
  • Netgear
  • Reformation
  • Dexcom
  • Okta
  • GoFundMe
  • Life360
  • Bark
  • MLS
  • Salesforce
  • HubSpot

Strengths and what to watch

Strengths

  • Deep integration with over 2,500 business applications, enabling automated DSR fulfillment across a wide range of systems.
  • Annual benchmark reports (e.g., 2026 Privacy and AI Trends Report) provide proprietary data on privacy request volumes and consent compliance, reinforcing thought leadership.
  • AI agent Vera is embedded directly into the platform, offering context-aware recommendations without requiring prompt engineering, which lowers the barrier for privacy teams.

Watch for

  • The dossier contains no publicly disclosed revenue, funding rounds, or headcount for DataGrail itself; the financial data in the dossier belongs to an unrelated company (GRAIL, Inc.), making it difficult to assess the company's financial health or growth trajectory.
  • The company's value proposition depends on the continued expansion and enforcement of privacy regulations; any slowdown in new state or federal privacy laws could reduce demand.
  • The 2026 report indicates that 63.6% of AI vendors do not disclose subprocessors, suggesting that DataGrail's own platform may face similar scrutiny regarding transparency of its AI subprocessors.

Recent moves

Key Information

Industry
Privacy & Security
Founded
2018
Headquarters
United States

Frequently Asked Questions

What is DataGrail and what does it do?

DataGrail provides an agentic data privacy platform that automates compliance tasks like data subject request fulfillment, consent management, risk assessments, and data discovery. It connects to over 2,500 applications and includes an AI agent named Vera for context-aware recommendations.

How does DataGrail automate data subject requests?

DataGrail's request manager connects to over 2,500 business applications to automate DSR fulfillment. This lets privacy teams handle deletion, access, and opt-out requests across complex data stacks without manual work, scaling with rising request volumes.

What does DataGrail's 2026 Privacy and AI Trends Report reveal?

The report shows a 567% increase in deletion requests since 2021 and that 63.6% of AI vendors do not disclose subprocessors. It also notes 90% of privacy programs expanded due to AI, but only 12% of AI governance programs are mature.

Which companies use DataGrail for privacy compliance?

Notable customers include FanDuel, Netgear, Reformation, Dexcom, Okta, GoFundMe, Life360, Bark, MLS, Salesforce, and HubSpot. These span regulated industries like healthcare, finance, and gaming, showing the platform's broad appeal.

How does DataGrail help with AI governance and risk?

DataGrail's platform includes AI risk assessments and a risk register. Its AI agent Vera offers context-aware recommendations without prompt engineering, helping privacy teams manage AI-related risks and comply with evolving regulations.

What integrations does DataGrail support for data mapping?

DataGrail's live data map and request manager integrate with over 2,500 business applications. This enables automated data discovery and mapping across complex stacks, simplifying compliance with US state laws like CCPA and international regulations like GDPR.

Sources

  1. www.datagrail.io — Company description, product offerings (Live Data Map, Request Manager, Consent Management, Risk Assessments, Data Discovery, Risk Register), and customer logos (FanDuel, Netgear, Reformation, Dexcom, Okta, GoFundMe, Life360, Bark, MLS, Salesforce, HubSpot).
  2. www.datagrail.io — Details on the 2025 Data Privacy Trends Report, including methodology and topics covered (DSR volume, cost of manual processing, opt-out requests).
  3. www.datagrail.io — 2026 Privacy and AI Trends Report: 567% increase in deletion requests since 2021, 63.6% of AI vendors do not disclose subprocessors, 90% of privacy programs expanded due to AI, only 12% of AI governance programs mature.
  4. www.datagrail.io — Previous edition of the Data Privacy Trends Report (2024), confirming the company's annual benchmark report series.