# 🧩About X-FLEXI LLC {% file src="/files/CrYdm83Ge4TsuZCdPUzr" %} {% embed url="" %} X-FLEXI was founded in 2019 by Santiago David, with its headquarters located on Madison Avenue in New York City, New York, USA.\ X-FLEXI is a leading provider of artificial intelligence platforms and services, specializing in the financial and cryptocurrency industries.\ In 2020, it developed the first AI-powered trading platform in the United States, X-FLEXI, which has since served tens of thousands of professional traders and has been adopted by several top-tier institutions. *** n 2024, X-FLEXI's New York headquarters completed a major restructuring and upgrade of its independent AI and big data team. In October, it officially received regulatory approval and an operating license in the state of New York under the name **X-FLEXI LLC**. As a leader in the U.S. digital economy, the company officially launched its full-stack AI platform, **X-FLEXIAI**, aiming to empower enterprises with artificial intelligence, accelerate their AI transformation, and unlock greater business value. *** Inherited from its predecessor, **ACC Capital**’s profound history and professional experience , X-FLEXI is a pioneering institution dedicated to combining AI technology with financial trading . Over the years, ACC Capital accumulated rich successful experience in trust, hedge funds, and multiple financial fields, laying a solid foundation and valuable industry insights for the establishment of the X-FLEXI foundation. *** Since its inception, X-FLEXI has quickly attracted investors’ attention through its innovative AI trading technologies and services, establishing a significant market position in the fintech field . *** **Seed Round Financing:**\ X-FLEXI successfully completed a $20 million seed round , led by well-known Silicon Valley angel investors and early-stage venture capital funds . The funds were primarily used for product development and market promotion . *** **Highlights:** • The world’s first AI grid trading platform **X-FLEXI** , developed and tested by the group’s technology team over years. It analyzes years of industry data and market trends, perfectly combining human logic with blockchain technology . It integrates a precise and error-free trading strategy code deployed on servers . It has served tens of thousands of professional traders and has been adopted by several leading institutions . The platform also launched a full-stack AI platform, empowering enterprises to rapidly realize AI upgrades for greater business value . *** **X-FLEXI AI Grid Trading** helps investors profit from price fluctuations , while averaging down costs during price drops and selling reasonably during price rises . With user authorization via exchange account API , based on the trading strategies and positions chosen by users, it activates an AI intelligent data analysis engine to automatically match “high-probability” winning trading strategies. Coupled with an intelligent tracking system for 24-hour market monitoring , it automatically analyzes key market points via data models , and through millisecond-level lightning-fast trading systems, sends buy/sell commands to exchanges . This enables comprehensive and rapid capture of profit opportunities for continuous, stable automatic earnings . *** It does not predict future market rises or falls but instead responds to market movements proactively . Using data interfaces, it completes buy/sell actions in milliseconds , effectively capturing market ups and downs at the very moment they happen . --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://x-flexi-2.gitbook.io/x-flexi/about-x-flexi/about-x-flexi-llc.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.