Aethon Fund to Launch with $50M in Capital, Bringing 20 Years of Signal Research and AI-Powered Trading Discipline to Institutional Markets

Founder George Kailas of Prospero.ai to reimagine data from retail intelligence platform into a tailored offering for institutional investors

NEW YORK--(BUSINESS WIRE)--Aethon Fund (“Aethon” or “the fund”), a new hedge fund that pairs proprietary market signal research with AI-powered trading discipline, today announced that it is launching with $50 million in capital. The raise includes an anchor allocation in a separately managed account from a fund of funds, alongside additional commitments from other ultra-high-net-worth and institutional investors.

The fund is founded and led by George Kailas, who has spent two decades developing a systematic approach intended to identify what quantitative models consistently miss, and building AI-enabled signals to close the gaps. Most recently, he used the signal library he built to found Prospero.ai in 2019 — a retail investor intelligence platform with over 20,000 monthly active users — which has delivered forward-looking newsletter picks that have outperformed the S&P 500 by 7.5x since 2022. Earlier in his career, Kailas landed his first job at a hedge fund at age 17 and sold a mortgage prediction model to a $20 billion hedge fund at age 25.

“Most funds guess. We measure,” said Kailas. “Aethon is the product of twenty years identifying what the models don’t know and building signals to close those gaps. We’re not a quant fund with a bigger data budget. We’re a fund where the signals themselves are the moat, refined through years of real-world feedback loops.”

A Diversified Strategy Stack. One Adaptive Portfolio.

Aethon runs numerous parallel trading strategies — spanning long, short, mean-reversion, momentum, and stealth-accumulation. Each is built and pressure tested by the investment team before any algorithmic execution. Rather than allocating capital equally, the fund continuously shifts resources toward whichever strategies are performing best in current conditions, with AI handling execution while the team focuses on signal research and technological expansion.

Every position is governed by preset rules covering profit targets, stop losses, trailing stops, and time stops. No position is held open indefinitely. A Variance Risk Premium (VRP) overlay automatically adjusts the fund’s long and short exposure based on regime classification.

The system is designed to generate returns in every market regime.¹

Built on a Heritage from Prospero.ai

Aethon’s core advantage is a proprietary signal library developed through four years of live calls to 200,000+ retail investors via Kailas’ legacy business, Prospero.ai. Prospero.ai is a retail investor intelligence platform dedicated to closing the gap between institutional and retail investors through proprietary signal tools and real-time market intelligence. Prospero.ai is on a mission to democratize access to institutional-grade research for the average retail investor.

Alongside the launch of Aethon, Kailas transitions to Chairman of Prospero.ai, stepping back from day-to-day operations to enable him to focus on serving the fund’s institutional clients. Adam Plante, Prospero.ai’s longtime CTO and the architect of its core signal infrastructure, assumes the role of CEO of Prospero.ai. A percentage of proceeds from Aethon will go back to Prospero.ai to enable it to continue pursuing its impact-oriented mission.

Kailas remarked: “The Prospero.ai community doesn’t just use our signals — they helped build them. Every call, every piece of feedback, every market they pushed us to cover made these tools what they are today. The best way I know to honor that is to leave the platform in the hands of someone who understands the mission as deeply as Adam does, and to give back to the community through the profits Aethon Fund will achieve.”

A Signal Library Built Through Live Market Conditions

The Prospero.ai-informed process has enabled every Aethon signal to perform in real market conditions, not just in backtests. The signals that survived are dense, interpretable, and predictive.

The signal library includes:

• Prospero.ai Signal Suite: Nine daily signals across 2,000+ stocks, scored 0–100, built from the interplay of retail and institutional flow — a dataset most quant funds overlook.
• Social Sentiment Platform: Monitors retail conversation across Reddit, X, and StockTwits, with account-level credibility scoring that separates signals worth following from noise worth fading.
• Smart Price Targets: An analyst-grading layer that weights Wall Street price targets by each analyst’s 6-month accuracy track record, replacing consensus averages with conviction-weighted expectations.
• Market Prophet: A model that predicts return probabilities across thousands of stocks and ETFs and many different time horizons. When it agrees with a strategy’s direction, position size increases; when it disagrees, exposure is reduced.

A Hedge Fund Built on Transparency

Most hedge funds treat their signals as state secrets — proprietary by default, shared with no one, not even their own investors. Aethon is making a different choice.

On an ongoing basis, Aethon will publish real demonstrations of how its signals work on actual stocks — showing the public, in plain terms, what the technology sees and why it matters.

“There is no industry precedent for a hedge fund doing this. That's the point. Most participants in our industry have treated their data as classified,” said Kailas. “We're going the other way. We have tools that can help people understand what's actually happening in the market, and we're going to share them, where appropriate and meaningful.”

Leadership

Kailas has assembled a team spanning AI research, institutional trading, quantitative finance, and risk management to lead Aethon:

• Dave Lauer, Chief Technology Officer: Former high-frequency trading quant and trader at Citadel and Allston. Testified before the U.S. Senate on market structure; served on SEC advisory panels; co-designed an investor-owned exchange. His work on market fairness was chronicled in Michael Lewis’s Flash Boys.
• Ezi Ozoani, Head of AI: Led LLM and AI systems at Hugging Face, where she focused on enterprise-scale model performance and ethics.
• Joe Bernstein, Head of Trading: PhD in Planetary Physics from Harvard. Eight years developing and executing systematic trading strategies at Tower Research, one of the world’s leading quantitative trading firms.
• Erik Smolinski, Head of Risk Management: Marine Corps veteran and self-taught options specialist with more than 30,000 hours across equities, options, and real estate.
• Dave West, Head of Infrastructure: Platform engineer specializing in DevOps, Kubernetes, and cloud infrastructure, with deep experience building resilient systems for mission-critical financial applications. Most recently, West was a lead engineer at Bullish, a fintech startup that has since grown to become a publicly traded company on the NYSE.
• Dr. Matt Carter, Head of Communications: Nationally published author and nonprofit CEO, serving as editorial and content lead for both Aethon and Prospero.ai.

With institutional backing secured, a leadership team in place, and a signal library refined over a decade of live market conditions, Aethon opens its doors at a moment when the convergence of human expertise and machine execution is redefining what a modern hedge fund can be.

About Aethon Fund

Aethon is an AI-powered hedge fund built on 20 years of investing discipline. The firm’s proprietary signal libraries, refined through years of live market feedback, are paired with machine-enforced trading rules and a world-class team of AI researchers, quants, and institutional traders. Aethon is headquartered in New York City. For more information, visit www.aethon.fund.²

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¹ The strategies presented here are representative of strategies that the fund’s founder has used in the past. However, there is no guarantee or representation that any particular investment program or vehicle or fund managed or advised by the fund’s founder, including the fund itself, will pursue or adopt any or all of these strategies in the future. Past performance is not indicative of future results, and the fund’s investment program may vary substantially over time, including with respect to its investment objectives, processes, diversification strategies, and risk monitoring practices.

² This press release is for informational purposes only and is not an offer to sell or a solicitation to buy any security. Any investment in Aethon is subject to offering materials and such other documentation as the parties may enter into (collectively, the “Fund Documents”). This press release should not be used to form the basis of any investment decision and shall be superseded in all respects by the disclosures, risk factors, terms and conditions contained in the Fund Documents, which may differ materially from the information presented herein. Investors are advised to read the Fund Documents carefully, and will be required to conduct their own independent investigation and analysis and consult with their own attorneys, accountants and other professional advisers regarding the merits and risks of any investment. Past performance is not indicative of future results.