The Challenge
The client needed a real-time analytics platform capable of processing millions of events per day while providing AI-powered insights and automated anomaly detection. Their existing system couldn't scale beyond 100k events/day and lacked intelligent automation.
Our Solution
We architected a distributed event processing system using Next.js, Python microservices, and Kubernetes. AI models were deployed for real-time anomaly detection and trend prediction. The system auto-scales based on traffic and provides sub-second query performance.
Measurable Results
10M+ events processed daily with 99.9% uptime
Query response time reduced from 5s to 200ms
85% reduction in false-positive alerts using AI filtering
Infrastructure costs reduced by 40% through optimization
"NeuraWebX transformed our vision into reality. Their AI-accelerated approach delivered our platform 40% faster than we expected, and the quality exceeded our highest standards."
Engineering Director
Enterprise SaaS Company