The Platform Where Finance Meets Intelligent Automation.
AgentAlpha has the tools, answers, and research you need to gain edge in any market.
What is AgentAlpha?
AgentAlpha transforms how finance professionals work by automating complex research, trading, and analytics workflows through state-of-the-art AI. Our platform seamlessly orchestrates multiple LLMs to deliver everything from real-time market intelligence to fully automated trading strategies—all accessible through natural language. From instant market analysis to sophisticated strategy execution, AgentAlpha puts institutional-grade capabilities at your fingertips with just a prompt.
Market Analysis.
Ask basic questions about current market events, news that may affect your portfolio, or any general inquiries your team may have about the market.
Merge Insights from Data, News, and Insiders to guide decisions.
Feed more complex tasks such as price prediction using multiple prediction sources and models and summarizing consensus.
Dashboard Development & Agentic Workflows.
Information is crucial for decision making in finance. With AgentAlpha, we want you to have that information in close reach at all times. By prompting AgentAlpha to build custom dashboards, we can help you meet those goals and automate their functions with Agents.
And more.
Do More, with AgentAlpha.
Our Team
Joshua Chis | CEO
DePaul University BS 24' | Pure Mathematics, Physics
UC Berkeley MFE 26'
Joshua brings over four years in research experience on projects in computational physics, data science, machine learning, and pure mathematics. He currently conducts research at the Haas School of Business in the field of Agent-Based Modeling where his research group focuses on constructing synthetic financial markets composed of smart trading agents.
Joshua Croppenstedt | COO
Università Bocconi BS 21' | Economics, Management, Computer Science
EDHEC Business School Master in Finance 26'
UC Berkeley MFE 26'
Joshua brings extensive experience in finance and consulting. Working previously for FTI consulting, he has experience in quantitative methods across various asset classes including options, equities, and crypto. He currently works on applications of LLMs and NLP in the insurance industry building AI-powered claim adjudication systems.
Aryaman Awasthi | CPO
New York University (NYU) BA 21' | Mathematics, Computer Science
UC Berkeley MFE 26'
Aryaman brings several years of experience as a software developer at Barclays Bank. Here he spearheaded multiple projects focusing on developing key products for the Enterprise Data and Finance and Treasury teams. He currently works on quantitative research in the crypto currency space and excels in leveraging his mathematics and computer science background to lead the development of trusted and quality products.
Sidhanth Kapila | CTO
University of Southern California (USC) BS 24' | Business, Computer Science
USC Master in Computer Science 25'
UC Berkeley MFE 26'
Sidhanth brings a strong background in applying leading Machine Learning and AI solutions to the world of business. Having worked on a team as a quant researcher, machine learning engineer, and now as a researcher at UC Berkeley applying machine learning to portfolio management Sidhanth seeks out any opportunity to leverage innovative solutions to complex tasks in finance.
Neelabh Kashyap | CFO
UCLA BS 24' | Mathematics of Computation
UC Berkeley MFE 26'
Neelabh brings extensive training in both mathematics and finance. While at UCLA Neelabh applied his extensive technical background to leading finance positions including investment banking, the UCLA Bruin Group, and software engineering. Currently he focuses on leveraging the use of AI in the fundamental finance and crypto space.
Started in Berkeley. With a Vision for Finance.
AgentAlpha. was started in 2025 by a team of graduate students at UC Berkeley studying Financial Engineering. Our team saw a need in the finance sector for quick and easy access to the best tools for finance professionals. With backgrounds in mathematics, computer science, and machine learning, our team knew saw that there was no single tool for all your financial needs, that's why we built AgentAlpha.
By building AgentAlpha. we bring all these tools to you and let you access them by a simple prompt. We also saw a need for integrating the many data sources utilized by the finance sector everyday. With our in-house data infrastructure we colocate every tool you need and every bit of data you need to make the time to research, deployment, and execution optimal.