Yamanu delivers semantic continuity - so every slice, search, and system already understands its purpose. Discover how semantic architecture transforms the way organisations can connect, understand, and level‑up their information - and get ready for AI along the way.
Discover Our Approach Schedule a ConsultationIn today's landscape of Artificial Intelligence and Digital Transformation, enterprises face pivotal challenges in extracting meaningful value from their growing data. As a result, 30–40 % of the typical IT budget disappears into integration work that never fully closes the gaps, and compromises Information Quality.
Data without meaning leads to fragmented understanding and unreliable decisions. Information loses its context as it moves between systems, creating disconnected views of the same reality.
Growing complexity and mounting technical debt from endless point-to-point connections between systems. Each new connection increases brittleness and maintenance costs.
Costly data preparation limits AI potential. Organizations invest heavily in AI but struggle with the foundational data quality and context needed for reliable results.
The market is overflowing with machine-learning toolkits, but very few vendors address the Quality of the Information those models consume. Yamanu starts earlier - with the semantic foundation - so AI and analytics inherit information that already “knows what it is.”
Yamanu creates a foundation where information carries intrinsic meaning. Unlike traditional systems where context is added through complex mapping and transformation, our approach embeds meaning directly into the information itself, enabling systems to understand relationships, recognize patterns, and maintain consistency across boundaries.
The UDL serves as the semantic backbone for all interactions, allowing information to exist independently of any single application or view. This isn't another integration layer - it's a fundamental reconceptualization of how Information exists and can be accessed. Dimensional Engineering by default.
Information Objects are the building blocks that maintain their context-aware relationships naturally, manage behaviour, presentation and execution and adapt to changing requirements without forcing system redesigns.
Traditional data architecture forces the business to adapt to technology. Yamanu adapts to the business through Semantic Continuity. Because meaning is encoded at the element level, structure can flex without losing integrity. The practical result is simpler change management, faster innovation, and analytics you can trust.
Pioneered two decades ago, a revolutionary data structures that anticipated computing's quantum future
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