Ensemble AI

AI powered venue booking platform using agent based architecture (n8n, A2A)

Overview

Leading the development of Ensemble AI, an AI powered venue booking platform using agent based architecture (n8n, A2A). Focused on real time sync and secure payments, the platform has reduced average booking time by 40% and increased conversion rates by 35% via ML recommendations. Selected for the NSF I-Corps program to explore commercial scaling.

The Challenge

The main challenge was creating a seamless booking experience that could handle complex venue availability, pricing variations, and real-time synchronization across multiple calendars and payment systems. We needed to build an intelligent system that could understand user preferences and make relevant recommendations.

The Solution

We developed an agent-based architecture using n8n and A2A protocol that allows for intelligent automation of the booking process. The system uses machine learning to understand user preferences and make personalized venue recommendations. We implemented secure payment processing and real-time calendar synchronization to ensure a smooth booking experience.

My Thoughts

Building Ensemble AI has been an exciting journey that combines my passion for AI, automation, and solving real business problems. The NSF I-Corps program has provided valuable insights and connections to help scale the platform. I'm particularly proud of how we've been able to reduce booking time by 40% and increase conversion rates through intelligent recommendations.

Key Achievements

• Reduced average booking time by 40% through intelligent automation
• Increased conversion rates by 35% using ML-powered recommendations
• Selected for the NSF I-Corps program for commercial scaling
• Implemented secure payment processing and real-time calendar synchronization
• Developed a scalable agent-based architecture using n8n and A2A protocol