GraphBase

16 reviews

GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

KayBot

3 reviews

KayBot is a conversational agent that lets your organization answer messages by consulting a knowledge graph. This is the same technology used by Google, Apple, Amazon, Microsoft and the other information superpowers. The knowledge graph that KayBot uses is your own - built from your data and facts. What's more, KayBot lets you build your knowledge graph using conversational English. Now you, your domain experts and anyone else on your team can now just "chat" with KayBot to capture your organization’s knowledge. No-code and no PHD required. KayBot integrates with popular messaging platforms, Messenger, Slack, Teams, Telegram and Discord out-of-the-box.

FactNexus

0 reviews

FactNexus is an Australian software services provider specializing in knowledge graph technologies to enhance structured knowledge management and generative AI applications. Their suite of tools enables enterprises to capture, formalize, and utilize their internal knowledge effectively, facilitating informed decision-making and the development of AI-driven solutions. Key Features and Functionality: - Knowledge Capture: Tools that allow domain experts to contribute to structured knowledge within the enterprise. - Formalization: Creation of formal knowledge structures to simplify decision-making and address complex problems. - Application Development: Utilization of formalized knowledge to implement AI and traditional applications tailored to enterprise needs. - AI Governance: Applications that provide transparent and understandable controls and guidance for AI usage. Primary Value and Solutions: FactNexus addresses the challenge of managing and leveraging enterprise knowledge by offering tools that transform unstructured data into structured, actionable insights. Their solutions empower organizations to build and maintain knowledge graphs, integrate them with generative AI models like ChatGPT, and implement AI governance frameworks. This approach enhances productivity, reduces biases and inaccuracies in AI outputs, and ensures that AI applications align with organizational goals and compliance requirements.