Asset management has spent years absorbing machine intelligence into parts of the investment process. FINQ took a different route by handing the whole process over. The results reported for the period ending August 31, 2026 give that decision a track record to point at: 23.51% since inception for AIUP, 23.83% for AINT, and 11.61% for the S&P 500 across the same span beginning February 5, 2026.
Full Delegation Rather Than Partial Assistance
The distinction FINQ draws is structural. Its proprietary AI framework is a systematic approach aimed at beating the indexes by autonomously ranking, selecting, and weighting all participants of an index. Ranking, selection, and weighting are the three decisions that define a portfolio, and in this design all three are handled by the system.
That approach carries a formal marker. AIUP and AINT are the first SEC-registered ETFs in the United States to be fully managed by artificial intelligence. Both trade on NYSE Arca.
The Products in Practice
AIUP is FINQ’s long-only U.S. large-cap equity ETF. It has continued to outperform the benchmark while maintaining broad exposure to its top-ranked companies. As of August 31, 2026, AIUP shows a since-inception return of 23.51%, a net asset value of $29.97, and a market price of $29.99.
AINT is FINQ’s dollar-neutral strategy. It has been buying the top-ranked and selling short the lowest-ranked in its relative ranking AI model. Its since-inception return stands at 23.83%, with a net asset value of $30.97 and a market price of $30.96.
Placing a long-only and a dollar-neutral product on the same ranking engine tests that engine from two directions at once. AIUP relies on the top of the ranking being right. AINT relies on the ordering being right across its full range, since it takes positions at both ends.
A Record Measured Month by Month
FINQ reported not only the cumulative outcome but the shape of it. AIUP has outperformed the S&P 500 at every month-end since inception. AINT has outperformed the S&P 500 in every month except its first month of trading, and following that initial launch month it has consistently outperformed the S&P 500. The company presents AINT’s pattern as further demonstrating the adaptability of its AI framework.
For an industry that evaluates strategies on repeatability, the month-end series is the more informative half of the disclosure. It converts a single cumulative figure into a sequence of observations across seven monthly checkpoints, from the end of February through the end of August.
The two products carry that record under the full names FINQ FIRST U.S. Large Cap AI-Managed U.S Equity ETF and FINQ Dollar Neutral U.S. Large Cap AI-Managed U.S Equity ETF, both launched on the same day on the same exchange.
Speed as a Design Argument
FINQ, an AI-driven asset management company focused on building autonomous investment products, reports that its proprietary AI system systematically evaluates vast amounts of financial and market data of each index participant in real time, enabling the ETFs to dynamically adjust holdings based on evolving market conditions. The company holds that the sustained outperformance highlights the framework’s ability to consistently identify and capitalize on market opportunities with speed and precision that traditional human-managed models cannot replicate.
That is a claim about throughput as much as insight. A framework reading every participant in an index continuously operates at a cadence that differs in kind from periodic committee review.
The View From the Top of the Company
“These results demonstrate the strength and consistency of our AI framework during dynamic market environments,” said Eldad Tamir, founder and CEO of FINQ. “I believe autonomous investing will continue to reshape asset management, and the performance of AIUP and AINT reflects the growing ability of AI to adapt, identify opportunities, and respond to market changes at scale.”
FINQ believes it can continue to build on its early gains following its February launch on NYSE Arca.