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Technology Stack

AI-First Architecture for Animal Health Intelligence

Mattera follows a layered technical architecture where wearable devices, structured data pipelines, and predictive AI models converge into a unified intelligence platform.

01
Wearable Devices
Sensor data capture
02
Signal Processing
Noise filtration & normalization
03
Data Pipeline
Event ingestion & enrichment
04
AI Models
Anomaly detection & scoring
05
Insights Engine
Risk index computation
06
PawOS Applications
Veterinary & owner interfaces
AI

AI Intelligence Layer

The core reasoning engine of the Mattera platform. Machine learning models trained on longitudinal animal health datasets to detect anomalies, score health trajectories, and generate predictive risk indicators.

Behavioral Anomaly Detection
Identifies deviations from established breed-level behavioral baselines using unsupervised anomaly scoring models.
Risk Scoring Models
Probabilistic risk indices computed from multi-signal health data, updated continuously as new observations arrive.
Longitudinal Health Modeling
Temporal modeling of health trajectories to track gradual decline or improvement patterns across months and years.
Breed-Species Stratification
Individual baseline normalization across breed, age, weight, and activity profiles to eliminate false positive detection.
Data

Data Infrastructure Layer

A cloud-native, API-first data platform engineered for high-frequency health event ingestion, normalization, and longitudinal storage. Designed to accumulate structured intelligence over time.

Structured Event Pipelines
Real-time ingestion of behavioral and physiological events with automated schema normalization and validation.
Health Data Normalization
Standardized health event taxonomy ensuring cross-species, cross-device data comparability.
Multi-Signal Fusion
Integration layer combining behavioral, environmental, and physiological signal streams into unified health records.
Longitudinal Storage
Time-series data architecture optimized for health trajectory queries across months and years of accumulated records.
Hardware

Wearable Hardware Systems

Mattera is developing a low-power wearable device layer enabling passive, continuous health signal capture from animals across species. Designed for long-term deployment in field and livestock environments.

Activity & Movement Capture
High-frequency accelerometer and gyroscope data for activity variability, gait, and movement symmetry analysis.
Physiological Signal Sensors
Future roadmap includes heart rate variability, respiration variability, and temperature deviation monitoring.
Edge Inference Models
On-device ML inference for real-time anomaly flagging without continuous cloud dependency.
Low-Power Firmware
Energy-efficient embedded systems designed for extended field deployment with minimal maintenance cycles.

Advancing Animal Intelligence Research

Mattera's technology stack is continuously evolving through academic partnerships and longitudinal health studies.

Research Collaboration