Published October 8, 2026
Every investment starts with a simple, everyday observation. Perhaps you notice that the cost of your morning mocha has steadily crept upward over the past few weeks. Shortly after, you read a news report detailing a severe dry season in Brazil, threatening coffee yields. Naturally, your economic intuition tells you that coffee prices are bound to keep rising.
What you do next, however, exposes a massive, longstanding chasm in modern finance. The answer depends entirely on how much you understand about complex financial products, and which specific tools and market venues you happen to have access to.
If you happen to be legendary investor Warren Buffett, the process is practically effortless. You already possess an encyclopedic knowledge of every instrument type and asset class available in global markets. You know precisely when to deploy leverage to maximize returns, how to meticulously construct a cost-optimized trade to minimize friction, and how to think critically about the exact triggers that should execute your position. You can instantly weigh whether a trade should be executed the moment an official crop estimate lands, or if it should wait until rainfall metrics in Minas Gerais cross a specific, statistically significant threshold.
Yet, for the average retail investor, trying to set up a similarly nuanced trade in a standard online brokerage account is a frustrating exercise in futility. If you are not Warren Buffett, your real-world options are starkly limited: you can either pay an exorbitant fee to have a professional wealth manager handle the trade on your behalf, or you can simply buy a few basic shares in a publicly traded coffee company, cross your fingers, and hope for the best.
That traditional bottleneck is precisely what Catalyst co-founders Justin Zheng and Dylan Iskandar aim to dismantle. Now, through the launch of Catalyst, everyday investors no longer need to navigate the frustrating, arcane plumbing of the financial markets to execute advanced trading strategies. Instead, users can simply describe their investment thesis in plain, conversational language. Catalyst’s advanced AI agents step in to gather, parse, and analyze complex market signals in real time, identify the optimal execution path across multiple platforms and venues, and assist users in backtesting and deploying sophisticated strategies equipped with clear, customizable limits and robust safety controls. In short, investors can finally begin their journey with a clear intent, rather than getting bogged down by the exhausting mechanics of market infrastructure.
For co-founders Dylan Iskandar and Justin Zheng, building Catalyst was born from observing a glaring contradiction in the evolution of modern technology. While retail investing has undoubtedly undergone a massive generational transformation—transitioning from the days of calling a broker on a telephone to clicking around on early desktop web browsers, and finally to tapping away on sleek mobile apps—this hard-won accessibility has done remarkably little to help everyday users trade richer, more sophisticated investment ideas with genuine confidence.
Consider the broader technological landscape: artificial intelligence agents today are capable of independently writing thousands of lines of full-stack code and proving novel mathematical theorems from scratch. Meanwhile, institutional trading itself has become overwhelmingly algorithmic and lightning-fast. Yet, despite these monumental leaps in capability, retail finance remains largely manual, cumbersome, and strictly do-it-yourself.
The reason this fundamental problem has persisted for so long is simple: the solution is extraordinarily difficult to engineer. Dylan and Justin knew from the outset that they would need deep, specialized expertise in high-performance trading systems and robust backend infrastructure. However, building the technology was only half the battle. They also recognized that they needed an unprecedented ability to bridge the persistent comprehension gaps that everyday investors face.
For Catalyst to truly succeed, it could not operate as a black box. It had to bring its users along for the journey, ensuring they fully understood their available options and the potential financial implications of their decisions. The platform needed to be intelligent enough to ask the right clarifying questions, provide meaningful and timely feedback, and steadily build unshakeable trust at every single step of the investment process.
Assembling a team capable of tackling such an ambitious multi-disciplinary challenge required a uniquely talented group of builders. Dylan Iskandar’s background reads like a profile of a generational outlier: he was a globally recognized classical pianist by the age of four, conducted advanced cybersecurity research for the U.S. Department of Defense throughout his high school years, and arrived at Stanford University as a prestigious Jane Street scholar before ultimately leaving his studies to dedicate himself full-time to building Catalyst.
His co-founder, Justin Zheng, shares a similarly remarkable trajectory. Justin successfully raised his first venture capital seed round when he was just 16 years old, earned a coveted Pioneer grant for his pioneering work in biometrics and crypto synthesis, and made history by serving as the youngest IDEO CoLab fellow—not once, but twice.
Surrounding these two visionary founders is a tight-knit team of high achievers who bring decades of deep domain expertise from the absolute apex of the tech and financial sectors. The founding roster includes early engineering talent from Palantir, the very first engineering hire at Scale AI, and seasoned technical leads hailing from quantitative trading powerhouses such as Citadel, Citadel Securities, Hudson River Trading, and Jump Trading. This formidable collective is not only deeply thoughtful about the technical execution of their product, but also acutely aware of the profound ethical responsibility that comes with breaking entirely new ground in the realm of agent-driven finance.
Recognizing the immense transformative potential of this technology, early financial backers have moved swiftly to support the startup’s vision. Industry partners have proudly stepped in to lead Catalyst’s seed round of funding, confident that this milestone represents merely the opening chapter of a much larger industry-wide shift.
Early adopters and beta testers are already singing the platform’s praises, describing the user experience with terms like "unparalleled" and "a perfect experience." As the traditional finance world scrambles to catch up to the blistering pace of agentic AI integration, Dylan, Justin, and the Catalyst team are pursuing an ambition that is nothing short of monumental: building the universal orchestration layer designed to turn any financial idea into reality, making sophisticated investing genuinely accessible to everyone.
Comments (0)