Platform
Measurement infrastructure for precision neurology
The platform captures complementary modalities, processes them into robust features, and integrates them over time into a single patient-specific trajectory — the Digital Neuro Fingerprint.
Modalities
Many signals, captured continuously
General Cognitive captures complementary streams of real-world signal. These modalities are the raw inputs — distinct from the functional dimensions they help characterize.
Acoustic and linguistic features
Timing, fluency, prosody, and lexical patterns captured from natural spoken tasks.
Functional dimensions
What the signals help characterize
Modalities are the inputs. Functional dimensions are the clinically meaningful axes those signals help describe across the lifespan of a measurement.
Cognitive
Memory, attention, language, and executive function measured with adaptive tasks.
Behavioral
Real-world behavioral patterns and engagement observed over time.
Neuromotor
Movement, coordination, and fine-motor control as early functional indicators.
Physiological
Autonomic, activity, and sleep signals that contextualize cognitive change.
How the fingerprint is built
Anchor. Enrich. Integrate. Translate.
Validated clinical anchors retain their role. The Digital Neuro Fingerprint is an anchor-linked longitudinal representation — not a standalone diagnosis, a replacement endpoint, or a magical composite score.
- 01
Anchor
Establish a validated clinical reference point that grounds every subsequent measurement.
- 02
Enrich
Layer in multimodal digital signals collected repeatedly in trials and in real-world care.
- 03
Integrate
Combine signals over time into a single, patient-specific longitudinal trajectory.
- 04
Translate
Turn the trajectory into decision-ready measurement for clinicians and study teams.
Platform architecture
Four layers, one measurement system
Multimodal capture
Collect cognitive, behavioral, neuromotor, and physiological signals across devices and settings.
Signal processing
Extract robust, interpretable features from raw multimodal data with quality controls.
Longitudinal integration
Fuse features over time into a patient-specific Digital Neuro Fingerprint trajectory.
Decision-ready delivery
Present trajectories and measurement to trials and clinicians through secure interfaces.
The learning flywheel
Practice and trials compound each other
Real-world clinical measurement and rigorous trial data form a virtuous cycle — each improving the sensitivity and relevance of the other.
Clinical practice generates real-world signal
Embedded measurement captures longitudinal cognition across diverse, everyday care settings.
Trials provide rigorous validation
Controlled studies sharpen which signals matter and how sensitively they track change.
Validated measurement returns to practice
Findings flow back into real-world tools, raising the quality of everyday measurement.
Better practice data strengthens future trials
Richer real-world data informs the design and power of the next generation of studies.