Background
MateSel is a genetic selection platform that helps livestock breeders optimize mating decisions by balancing genetic gain, diversity, and inbreeding risk through advanced algorithms.
Rambunct built MateSel’s real-time genetic selection SaaS PoC using Amazon EKS with a custom WebSocket infrastructure—enabling interactive genetic recommendations, live updates, and scalable computational architecture for modern breeding programs.
The Challenge
MateSel, a SaaS platform for livestock breeding optimization, was limited by legacy infrastructure that couldn’t support real-time collaboration, scalable compute, or flexible multi-tenant delivery. These constraints hindered interactive genetic workflows, dynamic decision-making, and AI-driven innovation across varied organizational needs.
- Limited interactivity and collaboration due to lack of real-time communication and live user sessions
- Infrastructure and scalability constraints during compute-heavy and memory-intensive genetic optimization tasks
- Inflexible architecture lacking tenant isolation and support for dynamic, AI-powered SaaS delivery
- Rigid deployment pipelines that restricted adaptability for multi-tenant environments and seasonal demand spikes
Our Solution
The architecture leverages Amazon EKS for secure, scalable genetic algorithm processing. Microservices and autoscaling ensure reliable performance and smooth collaboration across fluctuating workloads.
