YottaDynamics
Case Studies
These case studies cover the infrastructure, runtime, and rollout questions that tend to surface when startups and financial institutions move AI work beyond pilots and into systems that need to be operated responsibly.
A healthcare startup used an on-prem MaaS architecture to add secure, compliant LLM capabilities without relying on external APIs or overloading its internal engineering team.
35% less processing time
A custom Golang backend API turned fragmented provisioning workflows into a self-service platform across hybrid infrastructure environments.
70% less manual work
Cluster API and GitOps gave a financial firm a repeatable bare metal Kubernetes operating model with stronger lifecycle management and cleaner Day 2 automation.
60% less Day 2 overhead
An on-prem RAG application gave sales operators a faster way to summarize documents, retrieve internal knowledge, and work across Slack and Google Drive without relying on external LLM services.
30% faster sales ops