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GLBNXT

Free App

The knowledge workers AI platform for enterprises empowering employees with data and AI

Actionable insights
Natural language interaction
Generative ai platform

About GLBNXT

Launched Jan 08, 2025

Categories

Email :

[email protected]

Industry :

Horizontal

Website Linkedin

Description

The knowledge workers AI platform for enterprises empowering employees with data and AI

GLBNXT offers enterprises an innovative generative AI platform that makes sophisticated data analysis simple and productive. Users may easily search enormous amounts of data and acquire actionable insights via natural question-and-answer interactions. Specialized AI Agents help and support enterprise knowledge workers in making data-driven choices. GLBNXT eliminates the need for sophisticated tools and makes data analysis simple, even for non-technical users. GLBNXT therefore enables enterprises to develop faster, perform better, and achieve a strategic advantage through the use of GenAI.
GLBNXT website

GLBNXT Key Features

  • LLM Agnostic (OpenAI, LLaMA, Claude, Mistral and Gemini)
  • Support Cloud platforms (Azure, Google Cloud and AWS)
  • 100% EU-based operations (software & hardware)
  • Enterprise Ready

GLBNXT Use Cases

  • Cybersecurity; automated documentation, regulatory compliance, and procedure optimization
  • ESG: smart reproting, policy refinement and regulation alignment
  • Procurement; craft tender documentation, company policies and market change adaptation

Pros

  • Empowers employees with data and AI capabilities.
  • Simplifies data analysis for non-technical users.
  • Facilitates natural language interactions for data search and insights.
  • Supports data-driven decision-making with specialized AI Agents.
  • Enhances enterprise performance through faster development and strategic advantage.

Cons

  • May require initial training or adaptation period for users unfamiliar with AI tools.
  • Quality of insights may depend on the quality of the input data.
  • Possible reliance on AI might limit users' development of traditional analytical skills.

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