FinRock.ai emerged from a commitment to simplify the financial world for investors. We identified a key issue: the reliance on multiple platforms for real-time financial data. Investors often face cluttered setups—screens filled with charts from one provider, news from various sources, SEC filings from EDGAR, and a struggle to track market signals. This approach, though workable, is inefficient and risks missed opportunities. Existing tools were either too costly or slowed by outdated interfaces. Determined to create a better solution, we built FinRock.ai to streamline investing.
Harnessing Cutting-Edge Technology
FinRock.ai uses artificial intelligence (AI), large language models (LLMs), and machine learning to deliver an accessible investment platform. In today’s fast-evolving tech landscape, our goal is to equip investors with real-time tools and insights. Combining finance and technology expertise, we created a platform that transforms portfolio management.
Building the Foundations
We started with a prototype built in Python, SQL, and Streamlit to test and refine features for analyzing publicly traded stocks. The aim was to create a tool that simplifies risk management, portfolio diversification, and tracking of financial events—tasks once handled manually in spreadsheets. This focus on efficiency drove FinRock.ai’s early development.