DeepTrace is an AI-powered OSINT (Open Source Intelligence) agent that investigates people the way a skilled human investigator would — not just searching for a name, but following the trail. Standard search tools stop at the surface: a LinkedIn, a Twitter, maybe a GitHub. DeepTrace goes further. You give it a name and any seed information you have, and it recursively searches, extracts facts, draws inferences, and spawns new searches from those inferences — automatically. Found that someone went to Stuyvesant High School and loves physics? It'll check Physics Olympiad records. Found a volleyball reference? It'll pull the school's sports roster. Each discovery becomes a new lead. The problem it solves: public information about a person is scattered across dozens of sources, and connecting the dots requires hours of manual cross-referencing that most tools don't attempt. DeepTrace automates the inference chain — the "what would a detective think to look up next?" — at machine speed, across a user-controlled recursion depth from a quick surface scan all the way to a deep multi-hop investigation. The output is a structured intelligence report with a live-updating search tree showing exactly how each discovery led to the next — full transparency into the investigative reasoning, not just the results.
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