About Trailbit
Research-DrivenBitcoin Forensics
Built on published academic research. Purpose-built for students, researchers, and investigators who want to understand how blockchain forensics actually works.
Built on Published Research
Published Academic Research — Blockchain & Digital Currencies
Trailbit was created by Geo Nicolaidis during his MSc in Blockchain and Digital Currencies at the University of Nicosia. What started as research into Bitcoin transaction analysis grew into a full forensics platform.
The platform's heuristic analysis engine draws directly from published research: every detection algorithm, every risk rule, every clustering method is grounded in academic methodology. The heuristics are documented, the thresholds are justified, and the methodology is reproducible.
Trailbit exists to make blockchain forensics accessible — giving students, researchers, and investigators the same caliber of analysis tools that were previously locked behind enterprise contracts.
Our Mission
What Drives Us
Accessible to Everyone
Enterprise forensics platforms charge six figures per seat. Trailbit delivers professional-grade analysis — 22 modules, 43 risk rules, multiple export formats — accessible to students, researchers, and independent investigators.
Continuous Research
Trailbit's analysis engine evolves with the threat landscape. New detection algorithms, updated sanctions data, and refined heuristics are informed by ongoing research at labs.trailbit.io, our dedicated blockchain forensics research lab.
Analytical Rigor
Every heuristic is grounded in published research. Every risk rule has documented thresholds and weights. Trailbit reports confidence levels alongside findings because real forensics demands transparency about what the data does and doesn't tell you.
Trailbit's analysis engine uses heuristic methods and should be used as one component of a thorough investigation. Findings should be verified through additional sources before drawing investigative conclusions. For methodology details, see our published research at labs.trailbit.io.