GAIF (Global AI Internet Freedom Fund)

Simon Gillett spent 20 years working in AI and financial markets before recognizing a unique opportunity at the intersection of machine learning and Amazon seller economics. The shift to cloud computing—moving from expensive on-premise hardware to efficient cloud-based algorithms—unlocked a new business model: use advanced AI to identify and invest in high-potential Amazon brands.

In Q1 2020, Gillett and his small team built ATEM, a proprietary demand forecasting and analytics tool built on AWS APIs and approved for Amazon's 17+ global marketplaces. The tool leverages the same technology architecture as Amazon.com itself, giving it credibility and analytical power. ATEM is entirely free to merchants—they provide their Amazon login credentials and receive customized forecasts and financial planning insights within one day, unique to each seller's historical order data. The free model cleverly positions ATEM as lead generation for the real business: the fund.

Between 50-500 merchants have connected ATEM to date, flowing an estimated $100M-$1B in annual GMV through the platform. Each merchant's data trains a custom model, allowing Gillett's team to make informed investment decisions. The analytics tool attracts "quite sophisticated merchants" who value financial planning capabilities—warm leads for acquisition conversations.

The most significant win was deploying capital into Territory, an industrial supplies brand selling Moleskine planners, bakery boxes, and sustainable products. The deal was structured as an outright acquisition (not a minority stake), following standard M&A processes with letters of intent and purchase agreements. Gillett's small team—one researcher, one developer, and two operations staff—focuses on identifying incremental margin growth opportunities for acquired brands. The 27% IRR figure comes from previous franchise business track record, not the current fund, which remains in deployment stage. The fund closed at $20M+ in December 2020 with a three-year period, operating on standard 2-and-20 economics.

GAIF represents a unique thesis: use proprietary algorithms to spot acquisition opportunities competitors miss, then operationally optimize those businesses for growth—especially international expansion. With a closed fund and at least one deal completed, Gillett sits at an inflection point: proving the model repeats and generating returns that justify the algorithm's competitive advantage.