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Laurence is a business-to-business analytics company developing autonomous performance marketing software for digital advertising. The platform utilizes reinforcement learning and proprietary large language models to continuously adjust bids and keywords based on stochastic outcomes and explicit profit constraints. Designed to replace manual, rule-based bidding processes that rely on delayed data, the system functions similarly to quantitative hedge fund algorithms by harvesting profits during high-confidence periods and borrowing signals from related keywords when data is sparse. Initially targeting consumer brands operating on Amazon, the early-stage startup currently automates tens of millions of dollars in live advertising spend. This automated approach has demonstrated a forty percent decrease in advertising cost of sales while simultaneously increasing gross sales. Operating with a team of two employees, Laurence is an active participant in the Y Combinator Winter 2026 batch.