We apply statistical analysis and multidisciplinary research to the world's unsolved crimes and enduring mysteries — building evidence-based probability models to pursue the highest likelihood of truth where conventional investigation has stalled.
CURL was established in Toronto in 2025 by Daniel Dease-Weitzel Walker, out of a deep respect for the cultural legacy of Unsolved Mysteries — a program that demonstrated how public engagement and rigorous re-examination of evidence can break open cases decades after the fact. That same conviction drove our founding: That unsolved crimes and cold mysteries deserve more than a closed file.
Two cases in particular crystallized the need for an independent research body. The 1996 murder of JonBenét Ramsey — a six-year-old found strangled in her own home while her family slept above — remains one of the most forensically documented yet unresolved homicides in modern history, a case where evidence exists but institutional failure and jurisdictional fragmentation have prevented justice for nearly three decades. Closer to home, the 2017 murders of Barry and Honey Sherman — two prominent Torontonians found staged and strangled in their own North York residence — demonstrated that wealth, profile, and a $10 million reward are no guarantee of answers. Both cases share the same deficit: Not a lack of evidence, but a lack of the right analytical framework to interpret it. CURL applies a Bayesian probabilistic engine to both conventional datasets (police records, court documents, forensic reports) and non-conventional datasets (geographic patterns, behavioural data, open-source intelligence) to surface the highest statistical probability of truth.
Where traditional investigation is constrained by jurisdiction, resources, or time, CURL operates independently — combining analytical rigour with an open mind. Our goal is not to replace law enforcement, but to generate new leads, challenge untested assumptions, and bring the weight of modern data science to bear on the world's most enduring unsolved cases.