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Continual Learning for Agents
Monte is an applied research lab building products for continual learning and recursive self-improvement for AI agents.
CEO & Co-Founder @ Fluidize. Henry worked at NASA JPL, Goddard, and KSC. He has an AB/SM in Physics, CS, and Applied Math at Harvard. Henry is putting his PhD on a pause to automate R&D pipelines for scientists and engineers.
COO & Co-Founder @ Fluidize. AB in Computer Science and Statistics from Harvard. Alex conducted applied AI research at Harvard, building scalable, efficient routing for LLMs. Sourced $100k/mo in clients at a Harvard consulting group and carried out strategic advisory and complex tech & healthcare M&A deals at Strategy&, Lazard.
Formerly “Fluidize”
AI product engineer that can autonomously improve your product by learning from your users
Continual learning for agents
