OpsLab's scheduling platform saves Air Force squadrons 200 hours per month — time previously spent by pilots manually fixing flight schedules until late at night. Arun Nair, Founder & CEO, showcases how OpsLab's three-layer intelligence system went from 30% scheduler acceptance to operational deployment across 75+ squadrons by combining operations research algorithms, reinforcement learning from daily user feedback, and LLM interfaces that let commanders simulate scenarios like losing 20% of their fleet while managing ATOs and continuation training simultaneously.
Arun warns how Phase III SBIR contracts aren't the finish line everyone thinks they are — the real Holy Grail is program-of-record status. His team spent four years collecting feedback from schedulers to calibrate their algorithms, hired former Air Force schedulers to understand the dysfunction, and built a middleware layer borrowed from his Wall Street high-frequency trading experience that can combine air power from different branches onto the same platform.
Topics discussed:
Building AI scheduling architecture combining operations research, reinforcement learning from human feedback, and LLM interfaces.
Achieving 200 hours monthly time savings per squadron by eliminating manual scheduling work that kept pilots working late nights.
Scaling across 75+ squadrons and multiple aircraft types from single-seat fighters to B-52 bombers with eight crew positions.
Understanding Phase III SBIR contracts are still R&D phase, not a sustainable business model, with program of record as the true goal.
Hiring former Air Force schedulers to decode organizational dysfunction and collecting daily feedback to calibrate algorithms.
Targeting 60 VCs for Series A fundraising, narrowing to 15 serious prospects, and using venture debt to extend runway.
Applying Wall Street high-frequency trading middleware concepts to create a pub-sub layer combining air power from multiple military branches.
Deploying LLM-powered scenario simulation enabling commanders to model fleet losses, ATOs, and continuation training constraints simultaneously.
No Comments Yet
Let us know what you think