Big News: FINQ Files to Launch Two AI-Managed U.S. Large Cap ETFs

The intersection of artificial intelligence and investing is taking another step forward. FINQ AI LLC, in collaboration with Tidal Investments LLC, has filed a preliminary prospectus with the U.S. Securities and Exchange Commission to launch two actively managed exchange-traded funds (ETFs).

The funds are the FINQ FIRST U.S. Large Cap AI-Managed Equity ETF (proposed ticker: AIUP) and the FINQ DOLLAR NEUTRAL U.S. Large Cap AI-Managed Equity ETF (proposed ticker: AINT). They apply a proprietary AI model that generates a daily ranking of all S&P 500 stocks. The former will take long positions in top-ranked stocks, seeking upside from AI-driven selection. In contrast, the latter will balance long positions in top-ranked stocks with short positions in bottom-ranked ones to reduce exposure to overall market swings.

“Our goal is to bring advanced AI capabilities to investors in a transparent, rules-based structure,” said Eldad Tamir, Founder and CEO of FINQ. “These ETFs are designed to challenge conventional thinking by using technology to remove noise and uncover performance insights on a continuous basis.”

Tidal’s Role in the Partnership

Both ETFs are advised by Tidal Investments LLC, one of the largest providers of ETF advisory and operational services in the U.S. Tidal provides the operational and regulatory backbone that allows new managers to bring products to market, from compliance and governance to portfolio management infrastructure.

For FINQ, which is focused on the AI-driven investment engine, the partnership ensures the funds launch within a tested ETF framework. This type of collaboration of fintech innovation on one side and ETF infrastructure on the other is increasingly common in an industry where new strategies need to meet stringent regulatory and operational standards.

A Fast-Growing Market

The filing comes amid strong momentum for both ETFs and AI in asset management. According to the Investment Company Institute (ICI), U.S. ETF assets reached roughly $10.3 trillion by the end of 2024, with net issuance of ETF shares surging to $1.1 trillion, nearly double the $597 billion raised in 2023.

The expansion has continued into 2025, with total U.S. ETF assets hitting $11.6 trillion across more than 4,300 products, according to MarketWatch. At the same time, AI adoption in the industry has accelerated: a Mercer Survey found that 90% of asset managers are either using or planning to use AI, with more than half already integrating it into their investment processes.

By targeting U.S. large-cap equities, the most followed and liquid segment of the stock market, FINQ’s funds aim to showcase how AI-driven insights can compete in one of the toughest arenas for active management. The addition of a dollar-neutral option further broadens appeal, giving investors exposure to stock-selection signals without tying performance to market direction.

FINQ’s Vision for Investors

Founded by Eldad Tamir, who has over 30 years of experience in asset management, FINQ was built to expand access to strategies once reserved for institutional investors. The firm is backed by Nir Zuk, founder of cybersecurity leader Palo Alto Networks, underscoring the blend of finance and technology shaping its approach.

FINQ’s stated mission is to make institutional-grade AI capabilities available to a wider investing public. By embedding its proprietary model into transparent, rules-based ETFs, the company seeks to democratize advanced strategies at scale.

Looking Ahead

The ETFs remain subject to SEC approval before trading can begin. But the filing highlights how AI is moving from experimental use cases toward mainstream adoption in financial products.

If launched, the funds would represent an early example of AI-managed strategies packaged into ETFs, a structure investors already trust for its liquidity and transparency. For FINQ, the collaboration with Tidal signals a push to bridge cutting-edge technology with the established mechanics of the ETF market. This combination could become increasingly common as finance embraces the algorithmic age.

Read the original company press release for full disclosure.