DataBorg is an AI-powered platform that enables consumers and businesses to enhance their understanding of data using knowledge extraction, integration, and analysis. The platform offers various tools for knowledge extraction, integration, and comprehension, including named entity recognition, text to knowledge graph conversion, and web question-answering.
The Knowledge Extraction component is capable of transforming unstructured and semi-structured data into weak knowledge graphs, while the Knowledge Integration component links distributed and unconnected knowledge graphs to create a single, multi-access and distributed knowledge repository.
The Knowledge Comprehension component provides a holistic, access-aware view of the knowledge repository and all related data assets. DataBorg’s platform capabilities include data harmonization, distributed search, and question answering, enabling users to access their company’s knowledge repository in natural language.
DataBorg’s insights reveal that the platform components have been in development for over a decade and have been used in production by partners and customers. The platform has been downloaded more than 2,000 times and is being used by more than 100 users worldwide.
DataBorg has helped hundreds of users to shape, evolve and better understand their data, and its components have generated over 1,000 knowledge graphs so far.DataBorg’s platform can be applicable for various industries, including chatbots, automotive, sales, predictive maintenance, and fact-checking. Overall, DataBorg offers an all-in-one AI-powered platform that enables users to hypercharge their data, making data analysis faster and easier.
More details about Databorg
How can DataBorg convert text to a knowledge graph?
DataBorg uses its Knowledge Extraction module to convert text to knowledge graph. It transforms unstructured and semi-structured data into weak knowledge graphs in a simple API call.
How has DataBorg been used by partners and customers so far?
DataBorg’s platform components have been in development for over a decade and have been used in production by partners and customers. The platform has been downloaded more than 2000 times and is being used by over 100 users worldwide.
How does DataBorg’s named entity recognition work?
DataBorg’s Named Entity Recognition module is capable of extracting more than 4000 types of entities from any text.
Can DataBorg be used for Industry specific needs like automotive or sales?
Yes, DataBorg can be used for industry-specific needs such as automotive and sales. It offers solutions for chatbots, automotive, sales, predictive maintenance, and fact-checking.
What’s the volume of annual API calls handled by DataBorg?
DataBorg handles over 1,000,000 annual API calls.
