Rigorous research at the edge of signal and cognition. Every hypothesis is defined. Every stream is scored against ground truth. Every result matters.
The Synexis Project is a nonprofit research initiative applying rigorous inquiry and methodological discipline to the hardest questions, uncovering answers that were previously beyond the reach of science and technology. Our objective is to determine what is verifiably true and whether new forms of insight can ultimately be translated into practical benefit for humanity.
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The tools have finally caught up to the questions humanity has been asking for centuries.
Advances in sensor tech, AI, cloud computing, and pattern analysis allow us to collect and evaluate enormous volumes of data across multiple domains simultaneously. The Synexis Project was created to leverage these capabilities not only on traditional scientific datasets, but also on a range of Anomalous Cognition data sets. Through four complementary initiatives, we seek to apply modern analytical rigor to questions that were previously impossible to study at scale, testing whether meaningful patterns, correspondences, and signal convergence may exist where science has rarely looked before.
Hypotheses, analytic protocols, and thresholds are locked to OSF before any result is examined. No post-hoc framing, ever.
Full commit history on GitHub. BigQuery pipelines, Cloud Run jobs, and ground truth datasets are version-controlled and documented.
Negative findings receive identical documentation and publication treatment as positive ones. The file drawer problem ends here.
Project Sentinel is a translational research initiative investigating whether a broad spectrum of environmental data, advanced pattern analysis, signal convergence detection, and anomalous cognition can enhance risk awareness and provide deeper insight into potential early indicators of major geophysical hazards.
Spanning geophysical, environmental, and human anomalous cognition domains — testing convergence across independent data modalities at scale.
A distributed observation network designed to measure, visualize, and analyze coherence across human, field, and Earth systems simultaneously. It integrates six complementary data streams including human HRV coherence, RNG network data, Earth magnetometer readings, solar and geomagnetic indices, atmospheric electrical data, and global event markers into a common analytical framework.
A structured research program studying whether anomalous cognition shows statistically meaningful correspondence with high-consequence real-world events across transportation, geophysical, and societal domains.
Collaborative research programs conducted in partnership with IRVA, the Institute of Noetic Sciences, and affiliated institutions. Current active work includes the MMNRS study applying dream research, structured remote viewing protocols and blind localization techniques under pre-registered methodology.
We welcome researchers, data partners, institutional collaborators, and advisors who share our commitment to methodological discipline at the edge of conventional science.