Rigorous by default
Randomisation, blinding and pre-registration are built into the pipeline rather than bolted on afterwards.

Platform
One connected stack that runs the experiment, captures the data, trains the model and returns the insight — then does it all again, better.
Architecture
Each layer feeds the next. The value compounds as participation grows.
Blinded, pre-registered tasks delivered to participants worldwide, with tamper-evident targets and full audit trails.
Every session is captured as structured, anonymised events — judgements, confidence, timing and context.
Ensemble AI/ML models learn signal-noise pattern recognition across participants, sessions and target classes.
Personalised feedback returns to each participant, improving calibration and lifting the quality of the dataset.
On-chain participation, contribution tracking and transparent decision-making across the community.
Capabilities
Randomisation, blinding and pre-registration are built into the pipeline rather than bolted on afterwards.
Contributions are anonymised at capture. The MetaModel learns from patterns, never from identities.
A streaming data architecture designed for millions of sessions and continuous model retraining.
Neuroscience
Psi-like cognition is associated with disruption of the default mode network (DMN), increasing connectivity between the limbic system, right hemisphere and prefrontal areas. These are the regions our experiment design and biometric capture are built around.
Intuition and non-local perception. The anterior right temporal lobe is linked to ESP-like experience — Persinger's work showed electromagnetic stimulation can induce psi-type reports. The right parietal lobe governs spatial awareness and altered states, with increased alpha/theta activity supporting intuitive processing.
Intentional psi and prediction. The dorsolateral prefrontal cortex underpins metacognition, future simulation and pattern recognition. fMRI studies show prefrontal activation during psi tasks, suggesting an interplay between executive control and intuitive decision-making — and the PFC appears to help align intuition with rational processing in trained individuals.
Emotion and psi sensitivity. The hippocampus supports memory consolidation and future prediction; the amygdala heightens sensitivity to subtle stimuli; the anterior cingulate cortex bridges emotional and executive function, focusing intent and improving accuracy, especially in meditative states.
These correlations are drawn from the published literature and remain contested. We treat them as design hypotheses for capture and analysis, not as established mechanism.
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We're building a democratised platform to harness the power of psi, artificial intelligence and machine learning.