
Our platform is a unified financial intelligence terminal built for the Fireworks AI hackathon, combining three independent systems into a single trading workflow: spot a macro risk, check a company's exposure, verify leadership sentiment, then ask a cross cutting question, all without leaving the terminal. Apex Quant acts as the entry point, a global macro intelligence map that surfaces emerging risks by region and industry. Once a risk is flagged, SupplyGraph pulls SEC EDGAR data to build a live supplier and competitor graph, filtered by industry category using official SIC codes, so a trader can instantly see which companies are exposed to that risk and through which relationships. From there, AlphaStream Omni analyzes the actual earnings call audio of the affected company. Using Whisper for transcription, FinBERT for text sentiment, librosa for vocal prosody analysis, and Gemma 3 12B running on Fireworks for reasoning, it evaluates not just what executives said but how they said it, catching vocal stress and tone shifts that raw transcripts miss. The result is a buy, sell, or hold signal backed by cited evidence from the actual call. Tying all three together is an Omni Assistant that lets users query across every layer at once, whether that means asking about a specific company's supply chain, a sector wide sentiment trend, or a single moment in an earnings call. The impact is real. Institutional grade financial intelligence has historically been locked behind expensive terminals. By combining macro data, supply chain graphs, and voice driven sentiment analysis into one accessible, AI powered product, we are giving retail traders and smaller funds the same kind of edge that used to require a six figure subscription.
13 Jul 2026