Why Did The SEC Charge Nathan Fuller?
The Securities and Exchange Commission charged Nathan Fuller, a Cypress, Texas resident, with raising about $12.3 million from roughly 150 investors through a crypto fraud scheme built around fake AI trading bots. Fuller, the founder and sole member of Privvy Investments LLC, allegedly solicited investors across 9 states and 2 foreign countries between October 2022 and mid-2024. He also operated under the assumed name Gateway Digital Investments. The SEC said Fuller told investors that proprietary AI-based bots could scan crypto trading platforms, identify small price gaps, and capture profits through high-frequency arbitrage. Investors were promised returns of 40% to 50% within 30 to 45 days. Some were told they could earn guaranteed profits of more than 100% in as little as 21 days. The agency alleges those claims were false. The bots did not operate as advertised, and any code that ran lacked AI and stop-loss functionality. Only about $380,000, or roughly 3% of investor funds, was used to buy crypto, and those trades generated no profit, according to the complaint.Where Did The Investor Money Go?
The SEC alleges that Fuller misappropriated at least $6.2 million for personal spending, including a roughly $1 million house, gambling, trading cards, travel, and a Jeep. About $5.5 million was routed back to earlier investors in Ponzi-like payments. That payment structure is central to the case. The scheme was marketed as crypto arbitrage powered by automated AI systems, but investor returns were allegedly funded by money from later investors rather than profits from trading activity. To quiet investor concerns, Fuller allegedly claimed that Privvy held a Texas money-transmitter license and a surety bond, that investor funds were FDIC-insured, and that a professional-liability policy backed the venture. The SEC said none of those claims were true. The complaint says Fuller invented an insurer called Texas Guarantors & Securities and altered a genuine but short-lived biBERK certificate to show $5 million in professional-liability coverage, even though the policy excluded that coverage.Investor Takeaway
The case shows how AI language can be used to disguise old fraud mechanics. The alleged scheme did not depend on advanced trading technology. It relied on guaranteed-return claims, fake insurance documents, false licensing statements, and payments to earlier investors using new investor money.
