Facilis - Agentic AI Tools
Building production agentic tools for industrial enterprise customers using MCPs, Node, React, and TypeScript.
Overview
Building agentic tools and AI systems for industrial enterprise customers at Facilis. Working with cutting-edge technologies including Model Context Protocol (MCP), creating intelligent agents that can understand context, make decisions, and interact with complex enterprise systems.
The Challenge
Industrial enterprises need AI systems that can understand complex workflows, integrate with existing infrastructure, and make intelligent decisions in real-time. Traditional automation falls short when dealing with the nuanced requirements of industrial operations.
The Solution
Developing sophisticated agentic systems using MCPs that enable AI to maintain context across interactions, reason about complex scenarios, and take autonomous actions within defined parameters. Built using modern stack (Node.js, React, TypeScript) to ensure scalability and maintainability.
Impact & Results
Deployed AI agents serving industrial enterprise customers
Implemented Model Context Protocol for intelligent agent systems
Built production-grade tools with React and TypeScript
Enabled autonomous decision-making in enterprise workflows