---
title: "Fastagger: Offline Edge AI Runtime and SDK"
description: "Run AI models offline on low-end Android and embedded fleets in Kenya—optimize for under 4GB RAM, deploy via SDK/API, track telemetry and anomalies."
canonical_url: "https://liners.com/fastagger"
markdown_url: "https://liners.com/fastagger.md"
type: "product"
language: "en"
image: "https://assets.liners.com/storage/v1/object/public/media/tools/fastagger/screenshot.webp?v=1785449436743"
published_at: "2026-08-08T13:44:28.322Z"
updated_at: "2026-10-05T05:12:53.187Z"
---

# Fastagger: Offline Edge AI Runtime and SDK

Run AI models offline on low-end Android and embedded fleets in Kenya—optimize for under 4GB RAM, deploy via SDK/API, track telemetry and anomalies.

## Breadcrumbs

- [Developer Tools & Cloud](/categories/developer-tools-cloud)
- [Fastagger](/fastagger)

## Summary

Run AI models offline on low-end edge devices

An edge AI runtime and SDK that lets enterprises run offline inference, optimize models, and manage deployments across Android and embedded fleets with limited connectivity.

## Product details

| Field | Value |
| --- | --- |
| Website | https://fastagger.com/ |
| Tagline | Run AI models offline on low-end edge devices |
| Primary country | Kenya |
| Platforms | Web, API |
| Average rating |  |
| Published reviews | 0 |
| Verified listing | No |

## About the product

Fastagger is an **edge AI runtime**, SDK, and orchestration platform for enterprises that need to run AI agents and machine learning models **on-device and offline** across constrained hardware in the field.

Key capabilities include:
- **AI model optimization** for low-RAM devices (compression, quantization, compilation), plus **watermarking and encryption** to help protect model IP.
- **On-device SDKs** (native and **React Native**) designed for offline inference on **Android**, drones, and embedded/industrial devices, with support for sensors, actuators, and state management.
- **Fleet orchestration** features for enterprise deployments, including model deployment, **telemetry**, continuous validation, anomaly detection, federated learning, and billing.
- Production applications built on the runtime, including **Workforce** (SMS-based check-ins and patrol verification with a live operations dashboard), **Auni Document AI** (structuring KYC, loan files, and statements into dashboards), and **Vision & Edge Runtime** (offline computer vision inference on Android under 4GB RAM).

Available via **Web dashboards**, **Android SDK**, and **API access** (by request); Workforce also ships via Azure Marketplace.

Target users include **B2B teams** deploying edge AI in field operations, logistics, infrastructure audits, security, and other environments with limited connectivity, older devices, or data residency constraints.

Notable in the African market context, the platform highlights production deployments connected to **Safaricom M-Pesa** distribution and positions itself around offline-first AI for large fleets of low-end Android devices; the company is based in **Nairobi, Kenya** and was named **Winner, AI Infra Summit 2025 Innovation Showcase**.

## Features

- [Developer Tools & Cloud](/categories/developer-tools-cloud): Category
- [AI-Powered](/tags/ai-powered): Product feature or technology
- [B2B](/tags/b2b): Product feature or technology
- [Offline-Capable](/tags/offline-capable): Product feature or technology
- [Kenya](/countries/kenya): Market

## Related pages

- [Alternatives](/fastagger/alternatives)
- [Reviews](/fastagger/reviews)
- [Transparency](/fastagger/transparency)

## Access and citation

- [Canonical HTML page](https://liners.com/fastagger)
- [Markdown route index](/sitemap.md)
- [Agent access guide](/llms.txt)