The era of enterprise AI: Unlocking AI‑ready data with Snowflake

Snowflake’s AI Data Cloud has become the place where that data lands and where critical analytics, applications, and AI workloads run. Transcend connects directly into the same ecosystem as the customer data infrastructure layer, mapping consents, preferences, and “Do Not Train” signals back to the systems that store and use customer data, including Snowflake. By automating data and consumer preference governance at the systems layer, Transcend turns fragmented signals into compliant, consented, AI-ready data.

When those pieces are in place, CIOs, CMOs, and digital leaders get a foundation they can build on: AI programs that move faster because the underlying data is permissioned, well governed, and ready to activate.

“Enterprises have the data to power AI. What they're missing is a reliable answer to 'can we use this customer's data? To personalize their experience? Share it with an ad partner? Train a model on it?' Transcend embeds that answer directly into Snowflake, so every record carries its governance context and teams can build AI on trusted data instead of excluding it altogether.”

— Ben Brook, Co‑Founder and CEO, Transcend

The data trust gap in the AI Data Cloud

Most enterprises already rely on a mix of operational databases and modern cloud data platforms like Snowflake’s AI Data Cloud as the backbone of their data strategy. The challenge is that the data flowing into it often arrives:

• Fragmented across dozens or hundreds of systems
• Missing clear consent, preference, and “Do Not Train” signals
• Bound up in region‑specific and industry‑specific rules that are hard to enforce at scale

For CIOs and CDOs, that means customer or regulated data is frequently left on the sidelines essentially kept out of AI Data Cloud or ring‑fenced from AI projects because governance can’t keep up.

For CMOs and digital leaders, it means smaller or riskier audiences. Marketing wants to activate rich first‑party data sitting in Snowflake, but is blocked by manual list scrubs, spreadsheet workflows, or slow legal review.

And for privacy, security, and legal teams, it means endless bottlenecks and paper work: every new AI use case, dashboard, or activation path requires bespoke review, interpretation, and custom engineering.

Transcend is the compliance layer for customer data, enabling enterprises to activate and scale AI responsibly. Natively integrated with Snowflake’s AI Data Cloud, Transcend enforces consent, “Do Not Train,” deletion requests, and other policy rules in real time at the data and pipeline level.

Transcend is the compliance layer for customer data that sits on top of Snowflake’s AI Data Cloud, enabling CIOs and CMOs to get all the value out of their data, with none of the risk. Transcend creates a foundational layer in the modern data and AI stack focused on customer data, and making it compliant and usable.

Paired with Snowflake,Transcend:

• Integrates directly into the systems and channels where user choices are made, from web and mobile experiences to engagement platforms and internal systems.
• Normalizes and stores those choices (consents, preferences, “Do Not Train,” regional requirements) in a unified layer.
• Maps that layer to Snowflake so that data flowing into, and being used inside, the AI Data Cloud always carries the right governance context.

The result: enterprises can safely unlock more of their first‑party data in the AI Data Cloud for analytics, customer 360, and AI, without relying on manual controls or hoping spreadsheets stay in sync.

Across joint customers, Transcend has already orchestrated over six million data orchestrations into governed records that Snowflake can safely put to work. That’s millions of individual user choices honored automatically, enforced consistently, and made actionable for AI and growth. In doing so across web, mobile, SaaS applications, and data platforms, Transcend is helping define a foundational category in the ecosystem: a customer data compliance layer that ensures all AI initiatives, beyond simple storage or reporting, are built on a trusted and compliant data foundation.

Better together for CIOs, CMOs, and digital leaders

For CIOs and CDOs, Transcend + Snowflake creates a governed data foundation where:

• Sensitive data can move into the AI Data Cloud with row and column‑level policies tied to real consent signals and regional rules.
• “Do Not Train” and similar controls are embedded as data attributes and policies, not one‑off scripts.
• New AI and analytics projects build on AI‑ready tables and views from day one, instead of retrofitting governance later.

For CMOs, Chief Digital Officers, and marketing leaders, the partnership:

• Expands compliant, addressable audiences by ensuring every segment built on Snowflake respects consent, preferences, and channel rules.
• Enables AI‑powered personalization and measurement without shrinking audiences unnecessarily.
• Replaces manual list scrubs and ad‑hoc reviews with embedded policy enforcement built into Snowflake‑based workflows.

For privacy, security, and legal teams, Transcend:

• Provides end‑to‑end traceability from user‑facing choices all the way to Snowflake tables, models, and apps.
• Automates policy enforcement, consent, deletion, retention, “Do Not Train”—as machine‑readable rules that are executed where the data lives.
• Reduces the review burden so they can green‑light more AI and data initiatives without compromising trust.

How this shows up in highly regulated segments like financial services and health sciences

Financial services: unlocking sensitive data responsibly

Leading financial institutions rely on Snowflake’s AI Data Cloud for fraud detection, risk modeling, and personalized financial experiences. But these are some of the most heavily regulated data environments in the world.

With Transcend:

• Risk, compliance, and data teams can define how different categories of customer data may be used, and Transcend encodes those policies into how data is discovered, classified, and surfaced in Snowflake.
• Marketing and growth teams can build high‑value audiences in Snowflake—such as cross‑sell or retention segments—knowing every record has been filtered through the right consent, preference, and geography rules.
• AI and analytics teams can safely bring sensitive transaction and behavioral data into models, governed by “Do Not Train” and similar controls, instead of excluding that data altogether.

The outcome is more than just compliance. It’s a larger pool of AI‑ready data in the AI Data Cloud, supporting better predictions, more personalized experiences, and smarter decisions without increasing regulatory or brand risk.

Healthcare and life sciences: AI innovation with patient trust

For healthcare and life sciences organizations, the promise of the AI Data Cloud is enormous: personalized care pathways, more efficient operations, and accelerated research. But the data involved—clinical records, patient journeys, research signals, is among the most sensitive anywhere.

Transcend helps these organizations:

• Unify patient consents and communication preferences across clinical systems, patient portals, and engagement tools, then project that state into Snowflake as consistently governed attributes.
• Segment and analyze patient populations in Snowflake while honoring consent, treatment context, and regional rules—so data scientists and analysts can focus on impact, not manual guardrails.
• Connect privacy programs to AI initiatives, so that when new models, assistants, or decision‑support tools are built on Snowflake, they automatically respect the same governance rules that apply everywhere else.

This combination lets healthcare and life sciences leaders pursue ambitious AI programs while keeping patient trust and regulatory alignment at the center of the strategy.

From compliance blocker to AI growth engine

Transcend and Snowflake share a simple belief: governed, trusted data is the foundation of meaningful AI.

Snowflake’s AI Data Cloud provides the scale, performance, and ecosystem to activate that data. Transcend provides the infrastructure to ensure that the data is:

• Permissioned – reflecting real‑time consents, preferences, and “Do Not Train” signals
• Governed – aligned with regional, industry, and internal policies
• Actionable – available to the teams and systems that drive growth

For CIOs, CMOs, and digital leaders, that means AI is no longer waiting on governance to catch up. Instead, governance becomes the accelerator, freeing teams to use more of their data in Snowflake, across more use cases, with more confidence.

This is what it looks like when user data infrastructure meets the AI Data Cloud: AI‑ready data, embedded data controls, and technical guardrails that keep growth both ambitious and responsible. If you're ready to unlock your AI velocity with trusted, permissioned data, contact the Transcend team to get a demo today.

About Transcend

Transcend is the compliance layer for customer data, enabling enterprises to activate AI responsibly and at scale. Fortune 500 companies and other category leaders rely on Transcend to embed customer data controls directly into their tech stacks. With compliance enforced by design, Transcend replaces fragmented and manual compliance processes with a single, centralized layer, so companies can pursue AI, personalization, and other data-driven initiatives with confidence.

Founded in 2017 by Ben Brook (CEO) and Mike Farrell (CTO), Transcend is headquartered in the San Francisco Bay Area. The company has been recognized as a Leader in IDC’s MarketScape for Worldwide Data Privacy Compliance Software and twice named to the Deloitte Technology Fast 500™.