English (United Kingdom) 
Català (ca-ES) 
Español (España) INTRODUCING:
INTRODUCING:
THE CHALLENGE OF AI IN YOUR BUSINESS
Powerful but isolated AI models
AI models, despite their power, operate disconnected from your company's critical systems and data.
Need for real-time access
To be truly useful, AI agents need access to real-time data and external tools specific to their workflow.
Complex integrations:
Connecting AI to your databases, files, APIs, and applications historically requires complex custom integrations for each system.
Inefficient "N × M" model
Connecting AI to your databases, files, APIs, and applications historically requires complex custom integrations for each system.
RAG Limitations
Alternatives such as RAG systems involve maintaining vector databases, resulting in outdated information and security risks.
Reinventing the wheel
For each agent, connections to the systems must be recreated individually.
OUR SOLUTION
NEBOMIND:
Developed by Alneux Sistemas Predictivos S.L and marketed by Kawaruconsulting, it is a comprehensive solution that transforms the way organizations automate processes, manage information, and serve their users.
INTRODUCING:
The Nebomind platform uses the innovative Model Context Protocol (MCP), an open standard proposed by Anthropic in 2024, which enables standardized and secure connectivity.
MCP facilitates direct interaction between AI agents and external databases, APIs, files, and applications.
Characteristics
Universal Integration
MCP functions as a universal "USB port" for AI systems, eliminating technical complexities and dramatically reducing development times.
Intelligent
virtual agents
Specifically designed to automate processes and offer services in your company.
Understanding
the business context
To offer answers and solutions tailored to the specific needs of your organization.
Technical Architecture
Security
The virtual server managed by a reverse proxy allows you complete control over your data and operations by deploying the solution on on-premise servers or in private cloud environments.
Server MCP
When a Nebomind Agent needs information or to perform an action, it communicates with the MCP server, which retrieves the information or executes the action directly from the appropriate source, returning the result formatted for the agent to easily understand and use.
Knowledge Management (RAG)
With the Qudrant vector database, you can use any file to provide agents with information to assist or make decisions.
Omnichannel with the user
Whether you need a custom website or have existing front-ends, you can embed query agents to interact with the user. You can also use WhatsApp, Telegram, voice telephony, and more.