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Platform

PawOS: The foundational Animal Intelligence Engine

Mattera's platform layer bridges software intelligence, wearable hardware, and predictive AI models into a unified, continuously learning ecosystem.

OS Layer

PawOS Intelligence Hub

More than an app, PawOS is a cloud-native intelligence layer structured to ingest, normalize, and analyze longitudinal health events. It converts raw behavioral signals into actionable risk indicators.

Breed-specific baseline modeling
Longitudinal health scoring
Behavioral anomaly detection
Structured diet & activity mapping
Preventive health alerts
Environmental health context
Signal Pipeline

Multi-Signal Data Ingestion

Activity VariabilityRest Cycle PatternsMovement SymmetryStress Behavior IndicatorsTemperature DeviationEnvironmental Exposure
Hardware Roadmap
+ Heart Rate Variability
+ Respiration Variability
+ Gait Anomaly Detection
Infrastructure

The Intelligence Engine

Cloud-Native Backend

Encrypted, scalable data pipelines with offline-first synchronization and API-first ecosystem design.

Multi-Signal Fusion

Behavioral, environmental, and physiological signal integration into unified health records with adaptive calibration.

Longitudinal Intelligence

Temporal health trajectory modeling accumulating insight over months and years of continuous observation.

Role-Based Access

Structured event logging with role-based data access controls for owners, veterinarians, and researchers.

Federated Learning

Future architecture enabling privacy-preserving distributed model training across large animal populations.

Veterinary API Layer

Planned integrations with veterinary clinic management systems and electronic health record platforms.

Growth Strategy

Toward Population-Scale Predictive Health

Mattera is modularly scaling from a software intelligence layer to integrated wearable hardware, ultimately building a global data network for animal health intelligence.