DataBorg

What is DataBorg?

DataBorg is an AI-powered platform designed to improve consumers' and businesses' data understanding through knowledge extraction, integration, and analysis. It offers features like named entity recognition, text to knowledge graph conversion, and web question-answering. The platform's capabilities include data harmonization, distributed search, question answering, and more. DataBorg has been used by over 100 active users worldwide and has been downloaded more than 2000 times. It is applicable across various industries like automotive, sales, chatbots, predictive maintenance, and fact-checking.

Who created DataBorg?

Databorg Overview:

Launch Date: Databorg was launched on May 13, 2022, offering an all-in-one knowledge management suite for data empowerment.

Founder: Databorg was founded by Fabio Chiaramonte as the Chief Executive Officer, Dr. Tim Ermilov as the Chief Technical Officer, and Prof. Dr. Axel Ngonga as the Chief Science Officer.

Company Details: Databorg is an AI-powered platform that aids in knowledge extraction, integration, and analysis. Its capabilities include named entity recognition, text to knowledge graph conversion, and web question-answering. The platform has been under development for over a decade, with components used in production by partners and customers worldwide. It has seen over 2,000 downloads, with over 100 active users benefiting from its features like distributed search, natural language processing, and data harmonization.

What is DataBorg used for?

• Auto-vetting startups based on semantic analysis and data enrichment
• Analyzing trading signals based on semantic news comprehension
• Prospecting leads and matching products using conversational bots
• Finding solutions for customer problems in support scenarios using conversational bots
• Matching corresponding job positions with applicants using peep understanding of skill sets
• Verifying factual information to promote the veracity and correctness of reporting
• Matching corresponding job positions with applicants using peer understanding of skill sets

Who is DataBorg for?

• Automotive Intelligence Professionals
• Sales Automation Professionals
• Predictive Maintenance Professionals
• Fact-Checking Professionals
• Chatbot Solution Professionals

How to use DataBorg?

To use DataBorg effectively, follow these steps:

1. Knowledge Extraction:

   • Utilize the Knowledge Extraction tools to extract valuable insights from unstructured and semi-structured data sources like websites and documents. This tool automatically identifies patterns to create weak knowledge graphs.

2. Knowledge Integration:

   • Securely link distributed knowledge into a single, multi-access repository using DataBorg's Knowledge Integration tools. This integration is ideal for Artificial Intelligence, Machine Learning, and Business Intelligence solutions.

3. AI-Assisted Data Comprehension:

   • Access DataBorg's Natural Language Question Answering tools through conversational chatbots, intelligent search, or API. Gain an integrated view of your knowledge repository and related data assets.

4. Distributed Search:

   • Benefit from DataBorg's distributed search feature that allows you to search across data silos as if they were a single data source, enhancing efficiency and accessibility.

5. Specific Industry Applications:

   • DataBorg can be tailored to industry-specific needs such as automotive and sales, offering solutions for chatbots, sales automation, predictive maintenance, and fact-checking.

6. Client Base and Usage:

   • DataBorg's components have been developed for over a decade and are actively used by partners and customers worldwide. It has been downloaded over 2000 times and has over 100 active users globally.

7. Demo and Support:

   • Explore DataBorg's demo version available on their website to familiarize yourself with its features. Additionally, reach out to DataBorg through their social media channels like GitHub, Twitter, and LinkedIn for support and queries.

By following these steps, users can leverage DataBorg's capabilities for efficient knowledge extraction, integration, and comprehension tailored to industry-specific needs.