Inspiration
We were inspired by watching family members struggle to navigate fragmented investment platforms and complex market data when starting out. We wanted to build a single, intelligent workspace that simplifies portfolio management and delivers instant clarity to everyday investors.
What it does
Folio is an AI-driven financial platform that unifies your scattered brokerage accounts into one streamlined dashboard. It tracks investments in real time, automatically flags risk concentrations, and features a natural language AI chat to answer questions about your financial strategy.
How we built it
We built the platform using a FastAPI microservice backend connected to MongoDB Atlas for caching and persistent data storage. Real-time market data is pulled via Yahoo Finance, while the advanced NVIDIA Nemotron-3 Nano Omni reasoning model powers our intelligent orchestration and advisory layers
Challenges we ran into
Our biggest challenge was managing heavy data processing pipelines and minimizing API token latency during live network calls. We resolved this bottleneck by implementing an asynchronous structure and an intelligent database caching layer to store financial analytics payloads.
Accomplishments that we're proud of
We are incredibly proud of successfully orchestrating a real-time microservice architecture that cleanly separates tracking, analytical processing, and caching. Additionally, we successfully built an accurate, front-facing classification layer that perfectly intercepts, routes, and contextualizes diverse user prompts.
What we learned
We learned how to design efficient data pipelines that bridge heavy financial computation modules with generative AI reasoning models. We also gained deep technical experience optimizing token usage and reducing response latency through strategic cloud caching systems.
What's next for Folio
The next step is expanding our unified tracking capabilities to support automated API integrations with major brokers like Fidelity and Robinhood. We also plan to integrate predictive risk simulations to give users forward-looking visual models of potential market downturns.
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