The Unified Cognitive Intelligence Platform

Mapping the Mind
Across the Lifespan

General Cognitive integrates video, speech, and validated clinical assessments into a single multimodal engine — transforming how cognition is measured, monitored, and understood from infancy through aging.

Interconnected Data Streams

Four unified modalities converge into a single cognitive intelligence engine

Cognitive Assessment

Video Annotation

Speech Analytics

Behavioral Modeling

Three Core Pillars

Our platform integrates validated methodologies with advanced multimodal analytics

Multimodal Cognitive Data

Integrating video, speech, and validated clinical assessments into a single measurement framework with unprecedented resolution.

Cross-Age Behavioral Modeling

Unified cognitive framework spanning infancy through aging, enabling longitudinal insights no single modality can provide.

Scientific Infrastructure

Enterprise-grade platform built for healthcare systems, clinical trials, pharmaceutical companies, and public health agencies.

Applications Across Healthcare

Serving the full continuum of cognitive health — from primary care to therapeutic development

Primary Care Integration

Clinical Trial Endpoints

Value-Based Care

Research Institutions

Public Health Monitoring

Therapeutic Development

Institutional Research Partners
Enterprise-Grade Infrastructure
HIPAA Compliant
Validated Methodologies

Across the Lifespan

General Cognitive’s measurement framework spans every stage of human cognitive development — from neonatal orienting through adolescent maturation, adult performance, and age-related decline. Each domain draws on a growing body of peer-reviewed research and validated methodology.

Active Research

Autism Spectrum Disorder

Objective measurement is transforming autism research. General Cognitive’s platform builds on a decade of pioneering work using automated sensing — wearable tracking, spatial analytics, and vocal interaction modeling — to continuously measure how children with autism interact with peers and teachers in naturalistic settings like inclusive classrooms. These methods replace subjective observation with continuous, granular, objective data — revealing social dynamics that were previously invisible.

Why this matters

Traditional autism assessment relies on brief clinical observations and caregiver reports. The research below demonstrates that automated, continuous measurement captures social interaction patterns — proximity, movement, vocal exchange, engagement — at a resolution no human observer can match. This is the scientific foundation General Cognitive is engineering into a scalable platform.

Research Foundation

2026

Sarker, Zhang, Perry, Messinger, Song

Science Advances, in press

Social interactions drive abrupt collective alignment in human movement — a phase transition analogous to physical systems. Demonstrates that the movement dynamics of children in inclusive classrooms follow universal physical laws.

2025

Elbaum, Perry, Sarangoulis, Goodman, Messinger, Cejas

Journal of Speech, Language, and Hearing Research

Establishes ethical principles for the responsible use of automated digital data collection — the governance framework underlying the platform’s data practices.

Drye, Banarjee, Perry, Viggiano, Irvin, Messinger

Autism Research

Objectively reveals that children in inclusive autism classrooms show systematic social preferences for teachers over peers — a finding with direct implications for intervention design.

2024

Elbaum, Perry, Messinger

Early Childhood Research Quarterly

The definitive review synthesizing this research program’s automated sensing methodology for studying classroom social dynamics.

Zhang, Sarker, Mitsven, Perry, Messinger, Rudolph, Siller, Song

Physical Review E

Featured in Nature

Identifies emergent social phases in children’s classroom movement, showing how local interaction rules produce collective behavioral organization.

17 peer-reviewed publications spanning 2018–2026. Published in Science Advances, Nature (featured), Physical Review E, Autism Research, Scientific Reports, Developmental Science, and more. This is a developing research program — new findings are continuously integrated into the General Cognitive platform.
In Development

Neonatal & Infancy

The neonatal and infancy period (0–24 months) represents the most rapid phase of neurocognitive development in the human lifespan. General Cognitive is developing passive, continuous monitoring tools for this population — integrating gaze habituation paradigms, cry acoustics, motor milestone tracking, and caregiver interaction modeling to detect early divergence from normative developmental trajectories.

Why this matters

Current neonatal cognitive assessment relies on periodic milestone checklists and brief clinical encounters spaced months apart. Automated, continuous measurement during infancy can detect subtle deviations in sensorimotor integration, social orienting, and proto-communicative behavior weeks or months before they become clinically apparent — enabling earlier intervention during the period of greatest neuroplasticity.

Research Foundation

Research publications for this domain are forthcoming. General Cognitive is actively developing partnerships with aging and dementia research programs to extend its validated measurement infrastructure to cognitive aging populations.

Interested in partnering on neonatal cognitive research?
In Development

Adolescence

Adolescence (12–18 years) is characterized by extensive prefrontal cortex maturation, synaptic pruning, and the emergence of executive function capacity. General Cognitive is extending its multimodal measurement framework to capture the cognitive and social dynamics unique to this developmental stage — including peer influence modeling, risk-reward decision patterns, and the interplay between affective regulation and cognitive control.

Why this matters

Adolescence is the peak onset window for many psychiatric conditions including mood disorders, psychosis, and substance use. Objective, continuous measurement of cognitive and social functioning during this period can identify prodromal patterns, track treatment response in clinical trials, and distinguish normative developmental variation from early pathological trajectories.

Research Foundation

Research publications for this domain are forthcoming. General Cognitive is actively developing partnerships with aging and dementia research programs to extend its validated measurement infrastructure to cognitive aging populations.

Interested in partnering on adolescent cognitive research?
In Development

Adulthood

The adult period (18–65 years) encompasses peak cognitive performance, occupational demands on sustained attention and working memory, and the earliest subclinical signs of neurodegenerative processes. General Cognitive is building continuous cognitive monitoring tools for adult populations — integrating speech prosody analysis, sustained attention metrics, and longitudinal performance modeling for occupational health, clinical trial enrichment, and early detection paradigms.

Why this matters

Adult cognitive assessment is typically event-driven — triggered by a complaint, an injury, or a clinical trial enrollment. Continuous passive monitoring can establish individual baselines, detect meaningful cognitive change against that baseline, and provide the dense longitudinal data needed to power adaptive clinical trial designs and precision medicine approaches.

Research Foundation

Research publications for this domain are forthcoming. General Cognitive is actively developing partnerships with aging and dementia research programs to extend its validated measurement infrastructure to cognitive aging populations.

Interested in partnering on adult cognitive research?
In Development

Senescence & Neurodegeneration

Senescence (65+ years) brings progressive changes in processing speed, episodic memory, and executive function — some normative, some presaging neurodegenerative pathology. General Cognitive is extending its multimodal measurement framework to the aging population, developing continuous cognitive monitoring tools for early detection of mild cognitive impairment (MCI) and dementia, longitudinal tracking in clinical trials, and population-level screening — integrating speech analytics, behavioral modeling, and validated assessment instruments into a unified aging-focused module.

Why this matters

Current cognitive assessment in aging relies on periodic, in-clinic snapshots — brief screeners like the MoCA or MMSE administered months apart. General Cognitive’s approach enables continuous, passive monitoring using the same multimodal data streams (vocal patterns, behavioral dynamics, assessment performance) that have been validated in developmental populations. The platform’s cross-age architecture means methodologies proven in one population transfer to another — critical for detecting the earliest signs of pathological cognitive decline against an individual’s own baseline.

Research Foundation

Research publications for this domain are forthcoming. General Cognitive is actively developing partnerships with aging and dementia research programs to extend its validated measurement infrastructure to cognitive aging populations.

Interested in partnering on cognitive aging research?

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