Dynactionize was created in 2014 by smart linguists with a background in high-end data management technology. They had seen enough of traditional data management strategies to get a clear idea of the problems that approach creates, for instance: Over-complication, lack of scalability and an in-built barrier to taking in, transforming and making use of more than one type of data at a time in any useful, efficient fashion. Dynactionize was born as a response to those problems. The company opened its first office in Antwerp and today Dynactionize is active in seven countries and employs around 30 people. The Dynizer is a revolutionary, rock solid, multi-purpose data platform - cloud-based and available as a service - that lets you store structured, unstructured and semi-structured data in the same schema. This means you can build multiple lightweight apps on top of the data platform without having to change the way the data is stored or used. And because the data is held within the same schema, it becomes possible to see links within and across all the data types, allowing you to make best use of your data no matter where the data comes from and no matter what kind of data it is: Simple, Integrated and Flexible. Using Open World Semantics, the platform takes data, recognises it as a basic data type - a Who, What, Where or When, and creates what we call Actions from the combinations and automatically places the where it needs to be stored, negating the need for human intervention. New data elements automatically become embedded into the data set and create extra links for all the existing data. The platform doesn't discard data that initially has no context, i.e. hasn't been recognised as a Who, What, Where or a When within an action, but keeps it aside until it becomes relevant.
| Website | http://www.dynactionize.com |
| Employees | 4 (1 on RocketReach) |
| Founded | 2014 |
| Industry | Software Development |
| Keywords | Data Management Solutions, Natural Language Processing, Language Processing, Data Engineering, Data Analytics, Text Analytics, Data Science, Data Architecture, Big Data Solutions, Data Integration, Data Visualization, Machine Learning, Artificial Intelligence, Data Warehousing, Predictive Analytics, Business Intelligence, Software Solutions |
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