Consono CEO Michael Brands

Got a minute? Here's the Dynizer in 60 seconds

Consono CEO Michael Brands sums up what makes the Dynizer unique among semantic data platforms in (actually) just less than a minute...

Break through the walls separating your data from insight


However much you feel you are getting from your data, it's just the tip of the iceberg: What you can see and use is only a fraction of what's hidden below the waterline. Think as much as 20% versus 80%.

What's visible is, often, structured data, the kind of row/column information you find in spreadsheets and relational databases. But most data is 'unstructured' – the narrative information that tells us the story in the data. 

The narrative is the rich seam of data gold that holds the structure together, brings context and tone of voice, and makes automatic connections between the quantitative elements and the qualitative actions which turn a million-dollar asset into a billion-dollar bonus.

The Dynizer technology links your structured and unstructured data in a connected, integrated platform, seamlessly bringing everything together so you can make strategic use of all your data.

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How It Works

A Dynamic Semantic Index

Semantics is the key that unlocks the usually impenetrable door between narrative data and facts and figures. How? Essential to understanding all data are the four core elements of semantics: People, things, places, and moments in time. In other words, Who, What, Where, When. 

In narrative data, these combine into sentences and paragraphs with the addition of How and Why, which provide context. If you can extract the Who, What, Where, and When you find the facts and figures in your narrative, and can use them together. This is what the Dynizer does.

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How It Works


Relational data models on their own can’t handle the volume and variety of data being created every day, because they were never designed to. The Dynizer recognizes the elements in narrative data and the context that binds them. These are actions, the building blocks at the heart of the Dynizer technology.

The Dynizer can build its own data action models on the fly and add to the model through intelligent import pipelines for structured and unstructured data. What’s more, any new data coming into the system is automatically linked to the information that’s already there. 

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How It Works

Dynizer Query Language

The Dynizer has its own query language: DQL. It’s an extended SQL, and again it’s the Who, What, When, and Where that makes the difference. Find structured and unstructured data in the same query and create complex joins more easily. Uniquely, DQL allows you to query across the complete data set, no matter what format it is stored in.