Development of an AI-Powered Multi-Tenant SaaS Platform for Streaming Analytics

Our enterprise streaming company aims to develop a sophisticated SaaS platform that leverages AI to provide real-time analytics and insights tailored for the streaming industry. With the rise of diverse content and increasing viewer demands, our platform will offer invaluable data-driven insights to streaming services, helping them tailor content offerings, improve engagement, and boost subscriber retention. The platform will be built on a multi-tenant architecture allowing multiple streaming services to use the same infrastructure while maintaining data privacy and custom configurations. Key components of the project include deploying microservices on Kubernetes for flexibility and scalability, utilizing Redis for efficient caching, and ElasticSearch for powerful search capabilities. Real-time collaboration and data processing will be facilitated through WebSockets, ensuring fast and reliable delivery of analytics. Integration capabilities will be enhanced with an API-first approach, supporting seamless connectivity to existing systems. Security and user management will be handled by integrating Auth0, while Stripe will be employed for managing subscription payments. Our timeline for this project is 16-24 weeks with a budget range of $50,000 - $150,000, reflecting the complexity and robustness of the desired platform.