Built for agents.
Not retrofitted
for them.
Trust3 AI is the trust layer the agentic enterprise needed before the agentic enterprise existed. Founded by the engineers behind Apache Ranger and Apache Atlas — the access-control and metadata standards thousands of regulated enterprises run today — Trust3 AI is what happens when people who built the load-bearing layer of the data era come back for the agent one. With everything they learned. None of the legacy assumptions.
A bet most people thought was too early.
In 2024, we made a contrarian call: agent governance was about to become the most important infrastructure problem in the enterprise — and almost nobody was building for it. Two years later it's the question on every CISO's desk, every regulator's agenda, every board memo. Trustscore. Agent Catalog. PBAC at the agent layer. MCP and A2A defenses by default. We were ready.
We were ready because we've been here before. Our founders shipped Apache Ranger and Apache Atlas — the access-control and metadata standards now running in thousands of enterprise data environments. Trust3 AI is the same conviction, the same team, applied to a problem an order of magnitude bigger and moving faster: governing autonomous systems that act on your behalf.
Accelerate data and AI
adoption by 10×
with Trust Agents.
Governance is the most under-priced moat in software. The teams that figure this out first ship more AI, get sign-off faster, and earn trust that compounds. Trust Agents are how we get there — always-on teammates that handle policy, evidence, and access while your engineers ship.
Build trust at scale
Privacy, ethics, lineage, audit — across every cloud, model, and agent. Operationalize these and compliance becomes a moat, not a tax.
Redefine AI success
Accuracy is table stakes. Real ROI looks like trustworthy systems that pass audits and don't show up in tomorrow's headlines.
Empower the builders
Engineering, security, and compliance shouldn't be three teams arguing in a room. One unified surface — same data, same policies, same audit trail.
Turn governance into velocity
Strong governance is what lets risk committees say yes faster. We measure ourselves by the agents our customers ship.
From open-source roots to the agentic era.
Same founders. Same conviction. Different problem — orders of magnitude bigger, moving an order of magnitude faster.
Apache Ranger ships
The founders' work on enterprise access control becomes Apache Ranger, the de-facto centralized authorization layer for big-data ecosystems. It scales to thousands of production environments. Lessons learned: trust layers have to live where the work lives, not as bolt-ons.
Apache Atlas, top-level project
The same team's work on metadata and data lineage is recognized by the Apache Software Foundation as a top-level project. Together with Ranger, Atlas becomes the open metadata + access-control backbone for regulated enterprise data.
The contrarian call
While the industry is still arguing about LLM evaluation, we start building for what happens when LLMs become agents — autonomous, tool-using, three layers deep into your stack. The bet: data governance was the previous era's load-bearing layer; agent governance is the next one.
Trustscore in production
First customers go live with Trustscore-graded agents on Agent Bricks, Microsoft Copilot Studio, and ServiceNow Now Assist. Risk committees stop arguing in meetings and start dispatching from a dashboard.
Trust3 AI · agent-first, fully unified
Discover, Trustscore, govern. Across every major agent platform. With MCP and A2A protocol-layer security baked in. Native integrations with Google Cloud's ADK, Vertex AI Agent Builder, Snowflake, Databricks, and Starburst. Where the trust layer should be — under the agents, not next to them.
A decade of governance at scale, distilled into one platform.
A short summary of what the founding team has built before — and how it scales the conviction behind Trust3 AI.
Funded by leading enterprise-infrastructure venture firms with deep track records in data, security, and developer platforms.
Founders
Engineers and operators who've shipped the open-source standards regulated enterprises run today — now applying that experience to the agentic era.
Neeraj Sabharwal
Co-founder
Engineer + GTM. Forbes Tech Council. Angel: Anthropic, Perplexity, OpenAI.
Advisors
Operators, security leaders, and former chief data officers who've lived the problems we're solving — and now help us solve them better.