General Cognitive Model Family
GC-1.0
NeuroAI Base Model
One base model for multimodal cognitive intelligence.
GC-1.0 is being developed as the foundational intelligence layer behind General Cognitive's measurement infrastructure, integrating multimodal cognitive, behavioral, neuromotor, physiological, and longitudinal signals into structured representations that can power research, clinical measurement, and specialized health applications.
General Cognitive
NeuroAI Base Model
GC-1.0
- Model Family
- GC
- Version
- 1.0
- Status
- In Development
- Architecture
- Multimodal + Longitudinal
- Model Class
- NeuroAI Base Model
- Release
- Coming Soon
- Model Specification
- To Be Released
Data, evidence, and applications
Clinical Anchors
Validated assessments · Clinician-rated measures · …
Proprietary Assessment Data
Active cognitive tasks · Task performance · …
Multimodal Signals
Speech & Language · Visual & Oculomotor · …
Research Data
Public scientific datasets · Academic research datasets · …
DHT Evidence Packages
Signal-specific evidence · Disease-specific evidence · …
Real-World Deployment
Clinical practice · Clinical trials · …
Data and evidence sources — clinical anchors, proprietary assessment data, multimodal signals, research data, DHT evidence packages, and real-world deployment — converge into GC-1.0, which in turn powers cognitive measurement, longitudinal trajectories, digital endpoints, specialized models, clinical research tools, and partner health agents.
The Build
Scale of data. Depth of evidence.
GC-1.0 is being built from a growing body of multimodal measurement, longitudinal observation, research evidence, and real-world deployment.
- TBD
- Active Assessment Hours
- TBD
- Longitudinal Monitoring Hours
- TBD
- Total Assessments
- TBD
- Participants Represented
- TBD
- Multimodal Data Points
- 0
- Signal Modalities
- TBD
- DHT Evidence Packages
- TBD
- Clinical Domains
- TBD
- Research Programs
- TBD
- Deployment Environments
Figures marked TBD reflect metrics not yet cleared for public disclosure. Values shown here are updated from a single, centralized data source as they are approved.
What goes into GC-1.0
Scale of data. Depth of evidence.
GC-1.0 is being built from a growing body of multimodal measurement, longitudinal observation, research evidence, and real-world deployment.
Scientific Anchors
Validated clinical and neuropsychological reference measures ground model development in established measurement.
Proprietary Cognitive Data
High-resolution active assessment data captures performance, timing, interaction dynamics, and longitudinal change.
Multimodal Behavioral Signal
Speech, gaze, movement, task behavior, and physiological signals provide complementary views of human function.
Longitudinal Data
Repeated observations allow GC-1.0 to model change over time rather than treating cognition as a single snapshot.
Research Datasets
Curated scientific datasets expand the range of populations, modalities, and research contexts represented during development.
DHT Evidence Packages
Signal-specific and disease-specific evidence packages provide structured scientific context around digital measures and clinical anchors.
Dataset disclosure is selective. Data access, research use, and model development remain subject to applicable agreements, permissions, governance requirements, and study approvals.
Multimodal by design
Different signals. One cognitive representation.
Speech & Language
- Timing
- Fluency
- Prosody
- Lexical and semantic features
Visual & Oculomotor
- Gaze
- Visual attention
- Head pose
- Machine-vision features
Neuromotor
- Movement
- Coordination
- Fine motor dynamics
- Behavioral timing
Cognitive Tasks
- Memory
- Attention
- Executive function
- Reaction dynamics
Physiological
- Sleep
- Activity
- Autonomic signal
- Wearable-derived context
Each modality contributes a complementary view of function — GC-1.0 integrates them into a single cognitive representation rather than treating any one signal as an independent diagnostic model.
Scientific Foundation
Built on the Digital Neuro Fingerprint framework.
The Digital Neuro Fingerprint provides the scientific framework for integrating complementary digital signals over time around validated clinical anchors. GC-1.0 is being developed as the model infrastructure for operationalizing that multimodal, longitudinal approach at scale.
- ANCHOR
Ground measurement in validated clinical references.
- ENRICH
Add complementary digital and behavioral signals.
- INTEGRATE
Model relationships across modalities and time.
- TRANSLATE
Deliver structured measurement to research and care applications.
From base model to applications
Built once. Specialized everywhere.
GC-1.0 is designed as a common cognitive intelligence layer that can support specialized applications without rebuilding the underlying measurement infrastructure for every use case.
Clinical Trials
Sensitive longitudinal measurement and digital endpoint infrastructure.
Clinical Practice
Cognitive screening and longitudinal monitoring integrated into care workflows.
Research
Infrastructure for multimodal studies, longitudinal cohorts, and validation.
Specialized Health Agents
Condition-specific or workflow-specific conversational experiences built on the GC intelligence layer.
Partner Applications
Partner-branded health experiences powered by General Cognitive infrastructure.
Partner Application
powered by
GC-1.0A partner can present its own branded application while GC-1.0 provides the underlying cognition layer.
GC Model Family
A continuously advancing cognitive intelligence stack.
First Base Release
First base release. NeuroAI Base Model for multimodal cognitive intelligence.
Future GC Releases
GC-1.0
Follow the build.
GC-1.0 is currently in development. Join the release list for model updates, research milestones, early-access opportunities, and deployment announcements.
GC-1.0 is in development. Descriptions on this page reflect intended research and platform capabilities and do not constitute diagnostic or medical-device claims. Specific research, data use, and deployment activities remain subject to applicable agreements, permissions, institutional approvals, and regulatory requirements.