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Launch AI initiatives with real-time data decisioning

Only Transcend answers "Can I use this data?" in real time by encoding data permissions and Do Not Train policies directly into the systems that power AI. Governance is enforced at the infrastructure layer, so every model and agent gets the right answer at runtime.

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The status quoMost AI governance tools document policy. They don't enforce it.

They define what data AI should use but can't determine what it actually can use. Without runtime enforcement, every model, agent, and workflow depends on manual processes and disconnected controls. That gap between policy and execution is where AI risk, and deployment delays, grow. Deloitte indicates 79% of enterprises dont have have proper governance for Agentic AI.

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The opportunity

Every model, pipeline, and agent trained and running only on data you're allowed to use

Clean data for every AI initiative

User permissions and business policies are encoded directly into your data infrastructure, so models train only on verified, permissioned data. Do Not Train rules, deletion requirements, and jurisdictional restrictions are enforced before data reaches any model or agent.

Explore AI Governance

One decision layer for every system, model, and agent

Transcend connects directly to your warehouses, CDPs, AI pipelines, and agent runtimes to answer Can I use this data? in real time. Permissions are honored in the infrastructure, not monitored after the fact.

Explore Policy Engine

Full visibility, comprehensive proof

Transcend creates an audit trail of every data-use decision across your models, pipelines, and agents. When regulators, customers, or executives ask for proof, your team can demonstrate exactly how data was governed on demand.

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Ready to govern AI data in runtime?Transcend is the superior solution.

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The most complete and single source of data truth

Switching from manual scans to real-time discovery & data classification is key to ensuring enterprise compliance with privacy and AI regulations like the EU AI Act. With Transcend, your enterprise can easily discover data systems and shadow AI to create a single source of truth.

Explore Data Discovery & Classification

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Assess AI risk before it becomes a liability

Transcend's purpose-built AI Risk Assessment templates map your data use against the EU AI Act, GDPR, CCPA, and emerging regulations: surfacing risk before a model trains, not after it's deployed. The leading AI providers your enterprise partners with depend on this foundation to fulfill Do Not Train guarantees at scale.

Explore Assessments

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technical superiorityDo Not Train enforced everywhere, automatically

When a user opts out of AI training, that signal has to reach every model, pipeline, and agent in real time, without a manual sync or human follow-up. Transcend propagates Do Not Train signals automatically across your entire data ecosystem, so compliance isn't a review before a launch. It's enforcement at runtime.

Explore Consent & Preference Management

Unblock AI initiatives that use sensitive data

Explore Sombra Secure by Design

Privacy is at the heart of trust and progress in building artificial intelligence technology.

Shane Orlick

President

AI governance problems that Transcend solves

AI initiatives stall in governance review

Every model, agent, and personalization program your team wants to launch hits the same wall, no unified answer to whether the data behind it is cleared to use. 81% of enterprises have delayed or abandoned a strategic AI initiative in the past year. 93% trace the delay to data governance gaps.

Do Not Train signals dont reach every pipeline

Agents make decisions with no real-time data permission layer

More resources

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On-demand: Unlocking first-party data for AI and personalization in 2026

AI initiatives stall. Audiences shrink. Roadmaps slip. The issue isnt policy, its enforcement. In this session, Transcend CEO Ben Brook walks through a practical maturity model for moving from static data policies to real-time enforcement across your stack.

Watch the session

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2026 State of Customer Data in the World of AI Report

BCG projects $2 trillion in revenue will shift to personalization leaders over the next five years, but most enterprises wont capture it. Not because they lack data, models, or talent, but because they still cant answer the question: Can I use this data?

Get the full report

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Jasper x Transcend: From manual and exposed to automated and audit-ready

Jasper needed governance infrastructure that could move as fast as AI innovation. Transcend replaced manual data mapping and DSR processes with automation, giving Jasper complete visibility into its data and the confidence to prove compliance as regulatory scrutiny intensified.

Read the case study

Ship AI faster with governance built-in

See how leading enterprises turn governed data into a competitive advantage: powering AI personalization, first-party data strategies, and new revenue opportunities without slowing innovation with manual reviews.

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FAQ

How is Transcend different from AI governance tools that only monitor AI behavior?

How does Transcend keep every AI model training on properly permissioned data?

Can Transcend prove how an AI governance decision was made, not just that a policy exists?

How does Transcend help assess AI risk before a model is even trained?

How does Do Not Train enforcement actually reach every pipeline, not just the system where a customer opted out?

How does this address agents making data decisions without a real-time permission check?

Does Transcend see or store the training data it's governing?

How big is the AI governance problem this actually solves?

How does Transcend integrate with our existing AI infrastructure and data stack?

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