Converting Data into Knowledge
DataBorg It is presented as an all-in-one knowledge management suite that empowers companies to use their data with intelligent solutions.
But how does he do it?
Knowledge Extraction
One of its standout features is its ability to extract knowledge from unstructured and semi-structured data sources such as websites, documents, and cloud tools.
Using machine learning-based knowledge extraction tools, DataBorg automatically identifies patterns to create knowledge graphs.
This process is essential to convert scattered data into valuable and usable information.
Knowledge Integration
DataBorg ensures that extracted knowledge is integrated securely and compliantly into a single, easily accessible repository.
This is essential for its use in artificial intelligence, machine learning and business intelligence solutions.
Knowledge integration facilitates access to relevant and coherent information.
Data Understanding through AI
DataBorg goes a step further by offering natural language question answering tools assisted by artificial intelligence.
These tools allow you to access your knowledge base in an integrated way through a conversational chatbot, a smart search or an API.
This provides a unified view of your knowledge repository and related data assets.
Key Benefits
Its implementation brings several notable benefits:
- Time saving: DataBorg can save up to 80% of employee work time spent on knowledge management.
- Accelerating Knowledge Integration: Knowledge integration is carried out 1000 times faster than with conventional methods.
- Error Reduction: It also reduces the error rate by a factor of 14, resulting in more accurate and reliable results.
Platform Capabilities
- Data Harmonization- DataBorg allows all your data to be presented in a single format, ready for use in intelligent applications.
- Distributed Search: You can search your data silos as if they were a single data source, without wasting time.
- Answer to Questions: Access unified knowledge of your company in natural language, one question at a time.
- Conversational Chatbot: The platform offers a conversational chatbot that makes it easy to interact with its knowledge base.
Solution Use Cases
DataBorg is versatile and adapts to various industries and needs.
- Risk capital: Evaluate startups through semantic analysis and data enrichment.
- Finance: Analyze trading signals based on semantic understanding of news.
- Sales Intelligence: Prospect potential customers and combine products using chatbots.
- Customer Support: Find solutions to customer problems in support scenarios using chatbots.
- Human Resources: Match corresponding jobs with applicants using understanding of skill sets.
- Data verification: Verify factual information to promote the veracity and correctness of reports.
Additional data
DataBorg has been in development for over a decade and has been used in production by its partners and customers.
The platform has been downloaded on more than 2,000 components worldwide and has served more than 100 users.
Additionally, its capabilities have responded to over 1,000,000 API calls and helped generate over 1,000 knowledge graphs to date.
Price plan
Credits: 3,000 per month.
Requests: 1 per second.
Community support.
Get started for free! No credit card required.
- POPULAR (PRO) level - €50 per month
Credits included: 50,000 per month.
Additional credits: €0.001 per credit.
Requests: 5 per second.
Premium support.
- ENTERPRISE Level (Custom)
Customized prices.
Special discounts for significant volumes.
No rate limits.
Custom development.
On-site implementations.
Premium support.
Designed for your largest clients.
Pricing Units
Using the API It is calculated in terms of "credits", where each document sent to the API for analysis consumes at least one credit.
However, documents that have more than 1000 Unicode characters (including whitespace and any markup such as HTML or XML tags) are considered worth multiple credits, one for every 1000 characters.
For example, if you send three requests to the Named Entity Recognition (NER) APIs that contain 700, 1400, and 500 characters respectively, you will be charged four credits: one for the first request (700), two for the second request (1400 ) and one for the third request (500).
Pricing for API usage is calculated monthly based on the specific APIs you have used and the number of credits evaluated using those features.
Below is the price table per 1000 units, based on the total number of units analyzed during the billing month:
- Named Entity Recognition: 1 credit per 1000 characters.
- Text to Knowledge Graph: 25 credits per 1000 characters.
- WebQA (per query): 10 credits per query.
Prices may be subject to change and it is recommended that you visit their official website for the most up-to-date information.
Conclusion
DataBorg is an artificial intelligence-powered knowledge management tool that transforms scattered data into valuable insights.
Its ability to extract, integrate and understand data ensures faster and more accurate decisions.
With an adaptable pricing plan, this is a versatile solution for businesses of all sizes.
Optimize decision making and unlock the potential of your data with DataBorg.
