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Globant Enterprise AI is a comprehensive enterprise platform designed to facilitate and accelerate the adoption, integration, and management of Artificial Intelligence (AI) solutions across organizations of all sizes.

Its modular, interoperable architecture enables the creation, orchestration, and scaling of AI Assistants and Agents tailored to specific business needs, while ensuring security, governance, and technological flexibility.

Overview_26062025

Key Capabilities

1. Key Capabilities

  • Defines autonomous or collaborative Assistants and Agents by integrating natural language processing, reasoning, data analysis, and task automation.
  • The Globant Enterprise AI Lab allows you to define, manage and orchestrate Agents, Tools, Agentic Processes and Flows —enabling multi-agent workflows and seamless integration with external systems.

2. Seamless Integration of LLMs and External Tools

  • Supports a wide range of leading LLMs —including OpenAI, Google Gemini, Anthropic Claude, Meta Llama, xAI Grok, and others— allowing you to switch models without changing Agent definitions.
  • Incorporates standard protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), enabling dynamic integration of external Tools and Agents, while also exposing Globant Enterprise AI Agents for use in other ecosystems.

3. Enterprise Document and Data Management

  • Advanced Retrieval Augmented Generation (RAG) capabilities for querying, summarizing, and analyzing private organizational information, supporting multiple formats such as text, audio, video, images, presentations, spreadsheets, etc.
  • Integration with both relational and non-relational databases, with support for large-scale document ingestion and processing.

4. Observability, Security, and Governance

5. User Experience and Customization

  • Customizable frontend (Playground - Workspace) for interacting with Assistants, integration with conversational channels (Slack, Teams, WhatsApp, Web), and multilingual support.
  • Ability to share chat sessions, generate direct links to Agents, and collect end user feedback.
  • Real-time file uploads for multimodal interactions.

6. Development, Versioning, and Evaluation

  • Agent versioning, automated and regression testing, and controlled deployment to staging and production environments.
  • Evaluation module with advanced metrics —such as faithfulness, hallucination, noise sensitivity, etc.— and APIs for integration with data science workflows.

7. Architecture and Scalability

Globant Enterprise AI is built on a scalable, multi-layered architecture that enables:

  • Starting with LLM consumption and evolving towards the conceptualization of Assistants, Agents, and complex use cases.
  • Programmatic integration via APIs and SDKs —including an updated Python SDK.
  • Deployment in private, public, or hybrid cloud environments, with support for both SaaS and on-premises installations.

8. Highlighted Use Cases

  • Automated customer support and service.
  • Natural language data analysis and querying.
  • Internal document processing and search.
  • Multi-agent process orchestration and conversational Flows.
  • Integration of AI capabilities into existing corporate applications.

See Also

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Last update: June 2025 | © GeneXus. All rights reserved. GeneXus Powered by Globant