Color3 provides a financial knowledge graph that continuously ingests real‑time data such as news, SEC filings, satellite imagery, vessel tracking, and weather alerts, automatically linking events to companies, sectors, and supply‑chain nodes. Its causal scoring engine evaluates the potential impact of these events on ticker symbols and delivers cited, evidence‑backed reports to equity analysts, enabling faster identification of forward‑looking trade ideas.
Funding
Funding not disclosed
Founders
Product
Problem
Equity analysts must manually collect and synthesize disparate data sources—news, regulatory filings, satellite imagery, and weather alerts—to identify how real‑world events may impact companies, a process that is time‑consuming and prone to missing early signals.
Solution
Color3 offers a financial knowledge graph that continuously ingests real‑time data streams and automatically extracts, types, and links events to entities, sectors, and supply‑chain relationships. The system propagates each event through a network of causal hypotheses, scoring potential impact pathways and generating cited reports that surface forward‑looking trade ideas before market reactions occur. Analysts receive these scored, evidence‑backed reports directly, allowing them to focus on evaluation rather than data gathering. The platform’s agent‑first architecture ensures parallel processing of diverse inputs—news feeds, SEC filings, satellite passes, vessel tracks, and weather alerts—maintaining an up‑to‑date graph of causal chains.
Target Audience
Primary customers are equity research analysts and investment teams who need timely, data‑driven insights into how external events affect company fundamentals.
Features
- Continuous parallel ingestion of multiple real‑time data sources (news, SEC filings, satellite imagery, vessel tracking, weather and disaster alerts)
- Automated extraction, typing, and linking of events to a live graph of entities, sectors, and supply‑chain nodes
- Causal chain scoring engine that evaluates the potential impact of events on ticker symbols
- Generated reports include citations and evidence for each inferred causal pathway
- Agent‑driven workflow where data agents propagate events through the graph and trigger pre‑set scenario alerts
- Interactive graph interface for analysts to explore and validate causal hypotheses