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B2B Companies | Transcend | The only real-time data governance and decision layer
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transcend for the enterprise

Can you prove your AI initiatives are using permissioned data?

Only Transcend can answer can I use this data by encoding data decision permissions, Do Not Train, jurisdictional requirements, and business policy directly in the systems that process the customer data, in real-time. Turn data governance from a vendor risk checkbox into competitive advantage.

Get a demo
Two engineers analyzing circuit board designs on computer screens. [Two engineers analyzing circuit board designs on computer screens.]

the status quoLegacy tools document data practices, but dont enforce them

Privacy policies and DPAs define how data should be used, but they dont ensure those rules are followed across the systems processing customer data. As AI creates new data use cases and procurement scrutiny increases, the gap between documented intent and provable enforcement creates growing risk, liability, and technical debt.

Diagram showing "DO NOT TRAIN", "JURISDICTION", and "CONSENT" inputs affecting an "AI Training Set", which then branches to outputs including warnings, chatbots, and legal implications. [Diagram showing "DO NOT TRAIN", "JURISDICTION", and "CONSENT" inputs affecting an "AI Training Set", which then branches to outputs including warnings, chatbots, and legal implications.]

the opportunity

Unlock revenue when you accelerate AI and data-driven initiatives

Turn Do Not Train into a competitive differentiator

Transcend encodes Do Not Train signals directly into your data infrastructure - so you enforce it at the data layer and prove it with an always on audit trail. Win enterprise deals others are losing.

Explore AI transformation best practices

Your AI is only as trusted as the data governance behind it

Transcend is the only encoded AI governance solution. Govern the infrastructure level - enforcing what can be used, what cant, and Do Not Train obligations, in real-time.

Get the AI governance maturity model

Scale privacy rights fulfillment without scaling the ops team

Transcend automates data subject request fulfillment across every system that processes customer data - deletions, access requests, corrections, and Do Not Train. As your customer base grows, your compliance operation doesn't have to grow with it.

Discover DSR Automation

The Transcend DifferenceReady to switch to the only encoded AI governance platform?

Smiling woman on a smartphone in a kitchen with smoothie ingredients, overlaid with a diagram showing 'Do not train' pointing to 'AI Training Set'. [Smiling woman on a smartphone in a kitchen with smoothie ingredients, overlaid with a diagram showing 'Do not train' pointing to 'AI Training Set'.]

encoded ai governanceDo Not Train and AI Governance, enforced and provable

Only Transcend encodes customer data, customer-specific AI data use restrictions, and business policy directly into your pipelines - so Do Not Train obligations are enforced at the infrastructure level, not managed manually for each enterprise account. Every restriction is logged, every enforcement action auditable, and every customer audit request answerable on demand.

Schedule a demo
Comparison diagram showing most APIs allow unencrypted user data to be visible to competitors, whereas Transcend's cloud keeps user data encrypted by your keys. [Comparison diagram showing most APIs allow unencrypted user data to be visible to competitors, whereas Transcend's cloud keeps user data encrypted by your keys.]

secure by designSecurity designed for the most sensitive data use cases

Sombra, Transcends self-hosted security gateway, runs inside your environment within your cloud and security controls. Two-way encryption keeps sensitive health and financial data inside your infrastructure while Transcend enforces governance without ever seeing your data. Built specifically for the most sensitive data use cases.

Learn about Sombra
A diagram showing a Policy Engine processing business rules, regulatory context, and customer preferences to determine personalized offer opt-in or opt-out. [A diagram showing a Policy Engine processing business rules, regulatory context, and customer preferences to determine personalized offer opt-in or opt-out.]

Data decision infrastructureJurisdiction and DPA compliance across every market

With Policy Engine, the first data decision infrastructure built to encode business policy, regulatory context, and customer permissions into a single, real-time decision, every system, and every agent, already knows exactly what to do before it acts.

Explore Policy Engine

Govern AI data for the most sensitive use cases

The self-hosted gateway means your data and keys stay inside your environment. It is the structural answer to the security review that no vendor sitting in the data path can match, and it matters more, not less, once AI is involved.

Explore Sombra Secure by Design

We needed a solution that could easily integrate with our existing systems, be customized to our unique workflows, and offer a full suite of data governance tools.

Suresh Putteti

Senior Privacy Technologist

More resources

A young woman in a server room uses a glowing laptop. [A young woman in a server room uses a glowing laptop.]

ZoomInfo Reduces DSR Fulfillment from Days to Minutes

With thousands of data subject requests (DSRs) coming in each week, ZoomInfo needed a privacy partner that could not only efficiently handle a high DSR volume but also scale effortlessly as the business expanded into new data governance use cases.

Read the case study
A shopping cart in a long warehouse aisle with shelves of boxes. [A shopping cart in a long warehouse aisle with shelves of boxes.]

How a Fortune 50 retailer scaled personalization and compliance

"This global retailer now has the infrastructure to lead - not just in compliance, but in revenue growth, digital agility, and consumer trust."

Read the case study
A smiling girl in a wheelchair gives a high-five to a male healthcare worker. [A smiling girl in a wheelchair gives a high-five to a male healthcare worker.]

Scaling trust in telehealth: How Ro transformed its privacy operations with Transcend

Ro is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible.

Read the case study

pain pointsThe hidden data issues that Transcend solves

Do Not Train is becoming a standard enterprise procurement requirement

Enterprise customers increasingly demand contractual guarantees that their data won't be used to train your AI models. Without the infrastructure to enforce and prove that guarantee at the data layer - not just in a policy document - it becomes the requirement your sales team can't satisfy and the deal you don't close.

Privacy rights requests scale with your customer base

AI built on customer data requires governance your customers can audit

Ship AI faster with data decisioning and governance built-in

Trusted by Fortune 100 companies and category-leading brands alike, streamline your compliance strategy with Transcend.

Book a demo

FAQ

Can we actually prove our AI initiatives are only using permissioned data?

How is this different from just having a privacy policy or DPA template?

Why are enterprise customers increasingly asking B2B vendors about Do Not Train guarantees?

Does this actually help us close deals, or is it purely a compliance cost?

How does Transcend handle DPA and jurisdictional requirements across different markets like the EU, US, and APAC?

How does this scale as our number of enterprise customers grows?

What obligations come with using customer data to train or improve our own AI models?

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

How does Transcend help pass a security review faster?

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