Ludus Magnus

RL-IVR is a three-layered RL environment that trains voice agents to replace legacy IVR systems. We stress-test our voice agents with simulated customer-agent interactions, and a GRPO training loop evolves the agent from generic to surgical, learning on its own to detect intent and resolve queries in fewer turns. Domain-aware adaptive reward modeling enables the same architecture to generalize across banking, healthcare, and telecom without any manual reward re-engineering.