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Whyhow.Ai

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Company Research Report: WhyHow.AI



Company Overview



Name


WhyHow.AI

Mission


Transform unstructured data into structured knowledge representations, including with Knowledge Graphs, to help deliver accurate, explainable, and deterministic AI solutions.

Founded


No information is available.

Founders


No information is available.

Key People


  • The document refers to Graph and NLP specialists with PhD expertise, but specific names are not available.


Headquarters


No information is available.

Number of Employees


No information is available.

Revenue


No information is available.

Known For


WhyHow.AI is known for its expertise in building graphs and structured data systems over 15+ years, creating over 1,000 knowledge graphs and growing a community of over 7,000 members.

Products



Overview


WhyHow.AI offers open-source graph tooling specifically designed for AI use cases, with several products dedicated to structured knowledge representation.

1. Knowledge Graph Studio


  • Description: An open-source platform for creating and managing modular knowledge graphs.

  • Key Features:

  • Intuitive APIs for creating Agentic RAG-native knowledge graphs.

  • Manage and orchestrate multi-agent multi-graph workflows.

  • Modular multiplayer graph management.


2. Knowledge Table


  • Description: An open-source tool for extracting structured data from unstructured text.

  • Key Features:

  • Utilizes natural language prompts and traceable workflows for data extraction.


Implementation Patterns


  • Provides a library of case studies with tailored data structures applicable to industries like Healthcare, Legal, and Finance.


Recent Developments



Recent Developments


  • Focus on creating Knowledge Graphs using hybrid RAG approaches, incorporating vector and graph searches.

  • Improved graph orchestration and management capabilities within their tools.


New Products Launched


  • No specific new products are mentioned.


New Features Added to Existing Products


  • Enhanced personalization and resolution rules for knowledge graph creation.

  • New additions to the hybrid RAG use cases, allowing structured and unstructured search within the same platform.


New Partnerships


  • No information is available.




This comprehensive report provides a detailed insight into WhyHow.AI's organizational structure, product offerings, and recent developments. If further details or clarification is necessary, consult additional resources or contact the team at WhyHow.AI.