Adverity has launched Adverity Atlas, a marketing knowledge layer that gives AI a governed understanding of what marketing data means.
Sitting on top of existing enterprise data warehouses, Atlas provides the context, governance and business understanding needed to help organisations deploy AI to deliver value across the business.
AI with confidence
Research from Gartner shows that at least 50% of AI projects are abandoned after proof of concept.
Most marketing AI pilots fail not because the technology is wrong, but because the AI has no context about the business.
It doesn’t know you reallocated budgets across channels three days ago, or that a new promotion launched in two markets last week, and so it gives you confidently wrong answers.
Atlas captures what your metrics mean and what is happening in the business. The AI gets one governed answer for every query, not whichever version it found first.
Rather than replacing existing infrastructure, Adverity Atlas sits on top of enterprise warehouses, including Snowflake, BigQuery, Databricks and Redshift, adding the governed knowledge layer AI needs without requiring organisations to migrate data or rebuild existing investments.
It works whether data was loaded through Adverity Connect or any other pipeline.
Built on more than a decade of enterprise deployments representing over $80 billion in managed advertising spend, Atlas embeds the marketing knowledge that organisations need to move AI initiatives from experimentation to production.
Atlas operates in two ways. Through its native interface, it works as an autonomous marketing analyst, flagging anomalies and answering cross-platform questions.
For organisations building their own AI agents and internal workflows, it provides the underlying marketing context those systems need to function accurately.
Atlas complements Adverity’s marketing ETL, Adverity Connect.
While Connect automates the aggregation and harmonisation of disparate data sources, Atlas introduces the governed knowledge and context that allows AI to reason accurately from it.
Alexander Igelsböck, CEO and Co-Founder at Adverity, said: “The industry doesn’t need more AI tools, it needs AI that understands the business it’s working for and specialised architecture that understands the nuances of marketing data and spend.
“We aren’t asking enterprises to migrate their data or abandon their existing cloud warehouses.
“Whether a team uses our built-in UI to surface anomalies or hooks Atlas up to their own internal workflows and tools, they are getting a secure system where every data action is fully governed, logged, and entirely within their control.”
The launch of Atlas reflects the next phase of enterprise AI adoption, as organisations shift their focus from experimentation to operational deployment.
By providing AI with governed business context, Atlas enables enterprises to move beyond proof of concept towards trusted, production-ready AI that can deliver value at scale.
Read this simple guide to learn how AI is being used across the advertising industry: