NSF SBIR Phase II Award #2506458.
AALMV, Inc. develops DroneWolf.AI, an agentic-AI learning layer that brings Physical AI to traditional curricula and training pipelines. Rather than replacing instruction, DroneWolf.AI overlays it: students and operators command real and simulated autonomous systems in NVIDIA Isaac Sim digital twins, learning by doing while the machine (UxS) learns alongside them. Its patented TriLoop Collaborative Reinforcement Learning (CRL) methodology treats the human learner, the instructor, and the simulation as three co-adapting agents, bound by a Sim→Real→Sim after-action roll-up. The result is deeper engagement, measurable operational efficiency, and a rising p(MES) trust quotient in human-machine collaboration for mission-critical scenarios.

DroneWolf AI

Org chart

Teams

Offices