Why trust matters so much
AI adoption is accelerating fast, but the conversation around it is changing. It’s no longer just about what models can do. It’s about whether people can rely on the information shaping those systems.
“The success of those systems rests not on the size of the models they choose but on the quality of the data flowing through them.”Jay Limburn, Chief Product Officer at AtaccamaEven the most advanced models struggle when the data underneath is inconsistent, unclear, or poorly understood. Teams feel the pressure when dashboards don’t add up, models behave unpredictably, or results are hard to explain. That’s when trust stops being a nice-to-have and becomes a necessity.
Snowflake is seeing the same thing across its customers.
Baris Gultekin, Vice President of AI at Snowflake
Ataccama exists right at that intersection—helping trust become something that’s built in from the start, not something teams scramble to fix later. The shared belief is simple but powerful: trust can’t sit next to the AI Data Cloud. It has to live inside it.
What Ataccamers actually build in collaboration with Snowflake?
For years, Ataccama has worked directly inside Snowflake pipelines, quietly doing work that may seem unglamorous at first—but is absolutely essential for real impact: validating data as it arrives, catching issues early, and making quality and governance continuous rather than reactive.
This matters especially in the medallion architecture supported by Snowflake, where data should become more reliable as it moves from Bronze to Silver to Gold. Without care, small issues can ripple forward into models, analytics, and high-stakes decisions.
Our teams: Data engineering, analytics, and governance teams build data trust at every step:
- Bronze: profiling data immediately to spot anomalies and upstream changes
- Silver: validating, standardizing, and enriching data so issues don’t hide
- Gold: certifying data with a clear record of what’s been checked and improved
The result isn’t just cleaner data—it’s calmer teams. Less firefighting. More space to experiment, build, and scale ideas that matter.
Built to scale, without losing clarity
One of the reasons this partnership works is how naturally Ataccama fits into Snowflake environments. Teams build from shared, reusable data quality rules that evolve as organizations grow, migrate, and modernize.
This unified approach connects data quality, lineage, cataloging, and observability—and automation makes it sustainable. With Ataccama’s ONE AI Agent, teams can generate rules from natural language, create synthetic test data, classify information, and spot gaps automatically.
What changes day to day?
Collaboration gets easier. Surprises get rarer. And when questions come, answers are clearer.
Why this investment matters
Snowflake Ventures’ investment strengthens a partnership that’s been growing for years—and signals something the industry is now acknowledging openly: enterprise AI only works at scale when the data can be trusted.
“AI does not succeed because organizations have more data. It succeeds because they have data they can trust.”
Mike McKee, CEO of Ataccama.
Once AI systems move into core workflows, trust becomes very real. It’s the difference between confidence and constant rework, between momentum and hesitation.
Why this moment feels special inside Ataccama
For Ataccama, this is exciting news—not because of headlines, but because of what it unlocks. Today, just over 500 Ataccamers are working across engineering, product, customer teams, and operations to build something enterprises rely on every day.
Snowflake Ventures’ investment is a strong vote of confidence in that work—and in the people doing it. It opens space to tackle bigger challenges, deepen trusted partnerships, and keep pushing into complex, meaningful problems at the heart of AI.
From the customer perspective, the impact is already tangible:
“Ataccama provides us with a foundation our teams can depend on… This consistency allows us to move faster and deliver insights with greater confidence.”
Jason Wright, Manager of technical products and solutions at T-Mobile
Looking ahead
Snowflake and Ataccama share a vision where quality and governance feel like part of the system—not an afterthought. The next phase of the partnership will focus on deeper native experiences, stronger trust signals inside Snowflake Cortex AI, and catching issues even earlier as new data products take shape.
As AI accelerates, trust becomes the steady advantage. When data is reliable from the start and stays that way, teams hesitate less and build more—testing ideas sooner, shipping faster, and standing behind decisions with confidence.
Snowflake created a powerful environment to mobilize data at scale. Ataccama helps ensure that the data flowing through it is accurate, explainable, and ready for what comes next. Together, we’re shaping a future where AI systems don’t just perform well—but behave in ways people can understand and rely on.
And we’re doing it with curiosity, ambition, and a lot of care for the work—and each other—along the way.
Ataccama operates directly within Snowflake pipelines—validating data as it arrives, resolving issues as they appear, and applying quality and governance continuously rather than waiting for problems to surface downstream.
This is especially important in the medallion architecture, where data is expected to become more reliable as it moves from Bronze to Silver to Gold. Without safeguards, quality issues can echo forward into dashboards, models, and critical decisions.
Does this story resonate with you? See how you could become an Ataccamer to shape the future of the data industry—and make an impact along the way.