Enterprise AI Cannot Deduce Business Meaning from Data Alone

Blog Post Image - Why AI needs business context 2

Enterprise AI doesn’t fail because the data is missing or the model is weak. It fails because business meaning is implicit, locked in policies, SAP configurations, and tacit knowledge. This article explores the iceberg of enterprise context and why federated reasoning is the next frontier beyond data, ontologies, and semantics.

Cirql One Raises €5 Million in Seed Funding to add Context to Enterprise AI

Cirql One Business Context Layer Plattform founders

Heidelberg, 30th April 2026 – Cirql One builds the Business Context Layer that enterprise AI needs to act reliably and at scale. Its platform extracts decades of institutional knowledge from enterprise applications (especially SAP) and makes it available for AI. Enterprise customers including dm Drogeriemarkt are already deploying Cirql One to build scalable and governed […]

Your AI Initiatives Are Failing!

Cirql One Business Contect Layer Plattform - Solution Brief

Enterprise AI adoption has hit a wall. Despite unprecedented investment, the majority of AI projects stall before reaching production. For SAP customers, the failure rate is even higher and the root cause isn’t AI technology – It’s SAP data readiness. Cirql One builds the business semantic intelligence layer that SAP customers have been missing. We transform complex SAP systems into AI-ready foundations, automatically discovering, codifying, and deploying the business meaning that makes AI work.