Continual Learning for Agents
AI agents struggle to continuously learn from experience and improve their performance over time without costly retraining or manual intervention.
Monte builds continual learning and recursive self-improvement technology that enables AI agents to learn and adapt persistently in production.
Developers and organizations building and deploying AI agents that need continual learning capabilities.
Co-Founder @ Monte. He has an AB/SB/SM in Physics, CS, and Applied Math at Harvard.
Co-founder @ Monte | CS, statistics, AI research @ Harvard | 4 minute miler
Co-founder @ Monte | CS & MCB @ Harvard


