Privacera (Trust3 AI)

Updated 6 Jun 2026 Reviewed by 7wData

Visit Website

Profile

Discover, classify, and govern sensitive data while enforcing access policies and compliance controls across cloud and on-premises AI and analytics platforms.

Privacera, rebranded as Trust3 AI in March 2026, is a data and AI governance platform founded in 2016 by Balaji Ganesan (CEO) and Don Bosco Durai (CTO), the creators of Apache Ranger and Apache Atlas. The company is headquartered in Newark, California and operates with approximately 112 employees. In 2024, Privacera hit $38.5M in ARR (up 208.6% year-over-year from $12.5M in 2023) while serving 500 customers with an average contract value of $77K.

The company has raised $63.5M across three rounds: a $13.5M Series A led by Accel in 2020 and a $50M Series B led by Insight Partners in 2021, with participation from existing investors including Sapphire Ventures and Battery Ventures. In 2026, Privacera rebranded to Trust3 AI to reflect its evolution into unified data and AI governance. The rebrand came as enterprises face pressure from regulatory frameworks like the EU AI Act (effective August 2026) to govern autonomous AI agents and enforce compliance at scale.

The platform now combines sensitive data discovery, access controls, encryption, masking, and real-time policy enforcement across multicloud environments including Snowflake, Databricks, AWS, Google Cloud, Microsoft Azure, and on-premises storage. In April 2026, the company launched Trustscore, a quantified risk rating for AI agents that provides compliance teams with an auditable score for regulatory defense. Recent partnerships announced in 2026 include native integration with Google Cloud's agentic AI stack (April 21) and collaboration with Dell Technologies to embed governance in Dell's data lakehouse infrastructure (April 30). The company faced headcount adjustments during 2025, declining from 139 employees in October 2024 to 113 by early 2025, consistent with broader industry shifts toward profitability-first growth.

Who buys this

Financial services and insurance firms managing regulatory compliance (GDPR, HIPAA) across data platforms
Enterprise analytics teams on Snowflake, Databricks, and AWS needing unified access governance
Organizations deploying AI agents that require audit trails and risk scoring for EU AI Act compliance
Regulated industries (healthcare, finance, public sector) securing data in hybrid and on-premises environments
Fortune 500 enterprises across retail, media, and consumer sectors

Publicly disclosed clients

Intuit
Autodesk
Starbucks

Strengths and what to watch

Strengths

Deep credibility in open-source governance heritage; creators of Apache Ranger and Apache Atlas, de facto standards for big data security
Rapid revenue growth (208.6% YoY in 2024) and strong unit economics ($77K average contract value across 500 customers) demonstrate market traction
Unified data and AI governance platform with real-time enforcement, policy automation, and Trustscore risk scoring addresses critical EU AI Act compliance gap

Watch for

Workforce adjustment from 139 to 113 employees in 2024–2025 signals margin pressure; monitoring whether headcount reductions slow product velocity or customer support
Rebrand to Trust3 AI and agentic governance focus is strategic but customer adoption of PAIG open-source and Trustscore metrics remains nascent; monetization of new AI governance features still proving out
Heavy multicloud dependency on Snowflake, Databricks, AWS, and Google Cloud partnerships means vendor API changes or competitive moves by cloud providers could impact product roadmap

Recent moves

Key Information

Industry: Privacy & Security
Founded: 2016
Headquarters: Newark, California

Frequently Asked Questions

What is Trust3 AI?

Trust3 AI, formerly Privacera, is a data and AI governance platform founded in 2016 by Apache Ranger and Atlas creators Balaji Ganesan and Don Bosco Durai. It discovers, classifies, and governs sensitive data while enforcing access policies across cloud and on-premises systems.

What is Trustscore in Trust3 AI?

Trustscore is a quantified risk rating for AI agents launched by Trust3 AI in April 2026. It provides compliance teams with an auditable score for regulatory defense, helping organizations meet EU AI Act compliance requirements ahead of the August 2026 deadline.

What platforms does Trust3 AI integrate with?

Trust3 AI provides unified governance across Snowflake, Databricks, AWS, Google Cloud, Microsoft Azure, and on-premises storage. In 2026, the company announced native integrations with Google Cloud's agentic AI stack and partnered with Dell Technologies to embed governance in data lakehouse infrastructure for hybrid and on-premises environments.

Who are the founders of Trust3 AI?

Trust3 AI was founded in 2016 by Balaji Ganesan, CEO, and Don Bosco Durai, CTO. Both are creators of Apache Ranger and Apache Atlas, open-source standards for big data governance and security that became de facto industry standards for enterprise data platforms.

Which companies use Trust3 AI?

Notable Trust3 AI customers include Intuit, Autodesk, and Starbucks. The platform serves 500 customers across financial services, insurance, enterprise analytics, healthcare, public sector, and Fortune 500 enterprises in retail, media, and consumer sectors, managing regulatory compliance and data governance across multicloud environments.

How fast is Trust3 AI growing?

In 2024, Trust3 AI achieved $38.5 million in annual recurring revenue, representing 208.6% year-over-year growth from $12.5 million in 2023. The company serves 500 customers with an average contract value of $77,000, demonstrating strong market traction and unit economics in the data governance space.

How Privacera (Trust3 AI) compares

Direct head-to-head against 3 competitors. Picked by 7wData.

Positioning: Discover, classify, and govern sensitive data while enforcing access policies and compliance controls across cloud and on-premises AI and analytics platforms.
Customer segments: Financial services and insurance firms managing regulatory compliance (GDPR, HIPAA) across data platforms
Strengths: Deep credibility in open-source governance heritage; creators of Apache Ranger and Apache Atlas, de facto standards for big data security
Watch for: Workforce adjustment from 139 to 113 employees in 2024–2025 signals margin pressure; monitoring whether headcount reductions slow product velocity or customer support
Recent moves: Trust3 AI and Dell Technologies partner to integrate AI governance into data lakehouse infrastructure across hybrid and on-premises environments

Positioning: Attribute-based access control platform automating governed data access across Snowflake, Databricks, and BigQuery for regulated enterprises.
Customer segments: Enterprise data security and analytics teams in defense, pharma, and financial services running cloud-native data platforms.
Strengths: Attribute-based access control replacing thousands of row-level permission rules with composable, reusable policy sets across cloud data platforms.
Watch for: Customers cite displacement risk if Snowflake or Databricks extends native governance features, reducing Immuta's integration value proposition.
Recent moves: Launched first dedicated agentic data access platform in March 2026, giving AI agents first-class identities with auditable temporary access.

Positioning: Data privacy, AI trust, and governance platform. Now integrated into Veeam's data resilience portfolio following December 2025 acquisition.
Customer segments: Enterprise security and privacy compliance teams in financial services, healthcare, and technology managing multicloud data and AI risk.
Strengths: Broad coverage across data security posture management, privacy operations, and AI governance. Named Representative Vendor in Gartner AI TRiSM guide.
Watch for: Buyers cite post-acquisition roadmap risk: Veeam's backup-first focus may deprioritize standalone governance and AI trust product investment.
Recent moves: Veeam completed $1.725 billion acquisition of Securiti in December 2025, merging data resilience with DSPM and AI governance.

Positioning: Data security, privacy compliance, and AI governance platform targeting enterprise DSPM, sensitive data discovery, and regulatory obligations.
Customer segments: Enterprise data security officers and privacy compliance teams in financial services, healthcare, and technology sectors globally.
Strengths: Deep data discovery and classification across structured and unstructured sources, backed by 2025 IDC MarketScape Leader recognition for privacy compliance.
Watch for: Named Challenger (not Leader) in 2026 Gartner MQ for Data and Analytics Governance, signaling perceived gaps against enterprise governance breadth expectations.
Recent moves: Acquired consent management vendor illow in January 2025 and launched BigID Next AI-powered data security platform in February 2025.

Sources

www.prnewswire.com — Privacera Series A funding ($13.5M, July 2020) led by Accel with participation from Cervin Ventures, Point 72, and Alchemist Accelerator
www.prnewswire.com — Privacera Series B funding ($50M, led by Insight Partners with Sapphire Ventures, Battery Ventures, Accel, Cervin, Point 72)
getlatka.com — 2024 ARR ($38.5M), YoY growth (208.6%), customer count (500), average contract value ($77K), headcount (113), founders (Balaji Ganesan)
privacera.com — Company website, headquarters (Newark, CA), products (Data Governance Agent, AI Governance Agent), named customers (Snowflake, AWS, Azure, Google Cloud, Intuit, Autodesk, Starbucks, Databricks, Oracle)
www.prnewswire.com — Rebrand announcement (March 9, 2026), CEO Balaji Ganesan quote, new platform capabilities (Trust Agents, agentic governance)
intellyx.com — PAIG (Privacera AI Governance) open-source platform launch, market positioning, multi-channel go-to-market strategy
www.prnewswire.com — Trustscore launch (April 1, 2026), regulatory context (EU AI Act August 2026), quantified risk rating for AI agents
finance.yahoo.com — Dell partnership (April 30, 2026), joint solution for AI-ready data lakehouse, capabilities (discovery, masking, auditing)