Agentic AI has revolutionized how we work with documents and text-related functions. 

The next target for AI will be large, structured databases: the backbone of banks, governments and enterprises. 

But the reality is that Agents that succeed with text struggle with databases.

The industry is recognizing this struggle. It sees knowledge graphs as ideal for Agentic AI. But to get there, thousands of metadata items will need to be manually reviewed, renamed and structured logically. 

This enormous task cannot be automated: it must be done by a human, familiar with both databases and the business. 

In large organizations, assembling metadata is easy. Using it is a challenge.  

Large enterprises operate multiple databases, each with its own unique set of metadata.  

The most popular metadata management tool today is the data catalog, listing pages of tables and columns. Some also attempt to visualize metadata in 2D diagrams.

However, generating a clear, visual picture of a company’s entire metadata ecosystem is just not possible with these tools.

Neomersiv displays an entire metadata ecosystem in one 3D space

Neomersiv renders even the most complex metadata ecosystems into crisp, explorable 3D structures. 

Instead of untangling pages of lists, reports and 2D diagrams, Neomersiv will be able to fly-through, zoom-in and out and help data professionals visually organize and rename metadata in a way that both Agentic AI (and humans) will be able to understand.

Accelerating analysis, insights and informed decision-making

Partnering with data management vendors, Neomersiv is drawing inspiration from spatial computing, virtual reality, gaming and neuroscience. 

Neomersiv will have many uses in traditional metadata management as well, including: identifying personal and sensitive information (PII), assisting with data due diligence in mergers and acquisitions, highlighting AI query explainability and more.