Laurence
Product & Competitive Intelligence
Optimizes Amazon PPC bids hourly using reinforcement learning and transformer models.
Company Overview
Builds an AI-powered Amazon PPC advertising automation platform that uses reinforcement learning and transformer models to optimize bids, budgets, and keywords in real time for Amazon sellers and brands.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
Laurence has publicly announced hourly bid recalculation across tens of thousands of keywords, an "Ask Laurence" AI reporting agent for on-demand campaign insights, transparent bid-change logging with explanations, and real-time market shift detection (competitor launches, price drops). Automating $10M in live ad spend, decreasing advertising cost of sales by 40%. Targeting brands doing $1M-$10M+ in Amazon sales.
Signals & Private Analysis
The Jump Trading pedigree on the founding team signals quantitative, latency-sensitive optimization infrastructure. Team composition (fraud/spam detection from Meta, BCG strategy, ex-founder of PARES YC-backed startup) suggests upcoming features in ad fraud detection, budget forecasting, and enterprise-grade reporting dashboards. Expansion beyond Amazon to Walmart and other marketplaces likely.
Product Roadmap Priorities
Real-time reinforcement learning engine that continuously recalculates and adjusts Amazon PPC bids across tens of thousands of keywords on an hourly basis to maximize ROAS.
An AI agent watches your Amazon ads every hour and automatically raises or lowers your bids like a stock trader to get you the most sales for the least money.
It's like having a Wall Street quant trader obsessively managing your lemonade stand's advertising budget every hour instead of once a week.
Transformer-based anomaly detection system that identifies competitive market shifts—new product launches, competitor price drops, and demand surges—in real time and automatically adjusts campaign strategy.
The AI watches the entire Amazon marketplace like a hawk and instantly alerts you (and adjusts your ads) when a competitor launches a new product or slashes their price.
It's like having a spy satellite over your competitors' warehouses that automatically reroutes your delivery trucks the moment it spots trouble.
NLP-powered conversational reporting agent ("Ask Laurence") that allows brand owners to query campaign performance, diagnose issues, and receive strategic recommendations in natural language.
Instead of digging through spreadsheets, you just ask the AI "why did my sales drop last Tuesday?" and it tells you exactly what happened and what to do about it.
It's like having a brilliant analyst who memorized every single thing that happened in your ad account and can explain it to you over coffee in plain English.
Company Overview
Key Team Members
- Matt, Co-Founder & CEO
- Leo, Co-Founder & Chief Scientist
Founder Force Multiplier
Matt (CEO) built the Data Science Agent at Google and grew Facebook new user retention by 18% while tuning Facebook's friending model. Leo (Chief Scientist) comes from Jump Trading, bringing quantitative, latency-sensitive optimization expertise. Founding Engineer built and sold a $40M Amazon FBA business and managed 8-figure ad spend (advisor). Team has built systems at Google, Meta, Jump Trading, and BCG where mistakes cost hundreds of millions.
Funding History
- 2025-2026 | Matt and Leo co-found Laurence.
- 2026 | Accepted into Y Combinator Winter 2026 batch.
- 2026 | Automating $10M in live ad spend with 15-20% profit increase.
Competitors
- Agencies & Managed Services: Pacvue, Perpetua (Ascential), Quartile, Teikametrics.
- Self-Serve Amazon PPC Tools: Helium 10 (Adtomic), Jungle Scout, SellerApp, Ad Badger.
- AI-Native Competitors: Skai (formerly Kenshoo), Intentwise, Quartile (ML-driven bidding).
- In-House: Amazon's own automated bidding and campaign tools.
