Data integration firm Adverity has launched Atlas, a new layer that sits between enterprise data warehouses and AI tools to give them marketing-specific context, governance, and business understanding. The Vienna-based company says the solution, available now in DACH, the UK, and the US, tackles a core reason marketing AI pilots fail: AI models often lack the context needed to answer accurately.
The context problem in marketing AI
Most marketing AI implementations struggle because the AI has no visibility into recent business decisions. Adverity says the problem is that AI "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." Without access to the specific logic behind marketing spend, AI tools return generic or incorrect analyses.
How Atlas fills the knowledge gap
Atlas acts as a knowledge layer that connects to existing cloud data warehouses like Snowflake, BigQuery, Databricks, and Redshift. It adds metadata, definitions, and business rules so that AI queries always return a single governed answer, not whichever version the AI found first. For marketing teams exploring AI for Marketing, this approach directly addresses the gap between raw data and usable business intelligence.
Integration and governance
The new product complements Adverity Connect, the company's existing marketing ETL tool that automates data aggregation and harmonisation. CEO and co-founder Alexander Igelsböck said the focus is on giving AI the business context it needs, not on adding more tools. "The industry doesn't need more AI tools," Igelsböck said. "It needs AI that understands the business it's working for and specialised architecture that understands the nuances of marketing data and spend." He emphasized that Atlas does not require data migration or abandoning existing cloud warehouses. Users can surface anomalies through Adverity's built-in UI or connect Atlas to internal workflows, with every data action fully governed, logged, and under their control.
Why this matters for marketing professionals
Marketers investing in AI-driven analytics face a persistent challenge: the tools can produce plausible-sounding but incorrect answers when they lack business context. Atlas provides a governed, auditable way to bridge that gap without disrupting existing data infrastructure. For marketing teams, that means less time spent fact-checking AI outputs and more confidence in using AI to guide budget decisions and campaign analysis. The solution is available immediately to enterprise and agency customers. More details are on Adverity's website.
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