# Senatr: Multi-Site Federated Learning

## metadata
- product: Senatr
- route: /product/senatr
- url: https://klyff.com/product/senatr
- category: Federated Machine Learning

## Overview
Senatr coordinates distributed edge learning across independent manufacturing sites. Each plant trains models locally on its proprietary sensor feeds, and only encrypted model weight gradients are shared with the global aggregator.

## Key Features
- **Air-Gapped Data Privacy:** Raw images and telemetry never exit plant premises.
- **Fleet-Wide Model Convergence:** Fast performance gains by aggregating edge discoveries across 10s to 100s of plants.
- **Hardware-Heterogeneous Aggregation:** Works seamlessly across mixed Jetson, x86, and TPU deployments.