THE EDGE AI DATA PLATFORM

Fastagger is the AI runtime for the real world.

We let embodied AI agents run directly on smartphones and field devices — seeing, deciding, and acting offline.

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Fastagger is the edge-cloud AI runtime powering resilient, intelligent coordination of AI agents and the physical world.

Deploy intelligent agents where work actually happens. — on-device, on-site, at the edge.

🧰 Fastagger SDK – Deploy Intelligence at the Edge

The Fastagger SDK lets developers and systems engineers embed machine learning models and intelligent agents directly into edge devices — phones, tablets, industrial gateways, and rugged hardware — even in environments with limited or no connectivity.

Built for industrial-grade deployments, our SDK is lightweight, modular, and edge-first by design — with optional cloud coordination and model update capabilities.

1

Proprietary Compression

Compress and optimize models to run efficiently on edge devices

2

Secure Local Processing

Tools for On-device data processing with cloud to edge orchestration

3

Offline and Limited Connectivity Support

Enable ML models to work without constant internet access

4

Multimodal LLMs

Operate multimodal LLMs beyond traditional cloud-based systems

5

Split learning + edge-cascade hybrid

Devices collaboratively train AI models without sharing raw data

6

Cross-Platform Compatibility

Run ML models seamlessly on different edge devices

📡 Telco Partner Use Case

Live deployment

Embedded into Safaricom’s M-PESA Business App
Serves over 2,500+ MSMEs using entry-level Android devices
Provides offline PDF parsing to CRM insights and coordination logic
✅ Scaled to 1M+ subscriber devices via telco distribution

OTHER USE CASES

🛠️ Manufacturing QC Agent

  • Deploys vision model on rugged tablets
  • Detects packaging and assembly defects in real time
  • Works fully offline on the shop floor
  • Escalates only critical issues to supervisors via SMS fallback

🛢️ Mining Field Safety Agent

  • Operates on rugged devices or Android handsets in remote sites
  • Monitors environmental thresholds and incident reports
  • Coordinates response via mesh or SMS when cloud access fails
    ✅ Helps prevent high-cost outages and safety violations

📦 Logistics Ops Agent

  • Runs on handheld Android scanners in regional warehouses
  • Tracks item handoffs, reduces manual misrouting
  • Automatically syncs task status and coordinates fallback workflows
    ✅ Improves SLA adherence and reduces delivery errors by 30%

🛡️ Security Patrol Agent (Live Deployment)

  • Used by guards for check-ins and incident logging
  • Sends cascading SMS reminders to confirm location and task status
  • Operates without relying on Wi-Fi or data plans
    ✅ $600K ARR pilot contract already signed

Challenges of Traditional Cloud-Based Systems

Reliance on constant internet connectivity
Data privacy and security concerns
Limited availability of high-processing power systems
Dependency on cloud-based infrastructure
Difficulty in running multimodal LLMs

Our Innovative Solutions

Run ML models directly on edge devices
Securely process data locally
Work offline or with limited connectivity
Enable multimodal LLMs
Overcome traditional cloud-based constraints

Why Choose Fastagger

1
Cutting-edge Edge Computing

We leverage advanced techniques to optimize edge computing performance.

2
Unparalleled Security

Secure the processing of data on device with enterprise grade privacy techniques.

3
Flexibility and Accessibility

Our solutions empower users to work offline and on various edge devices.

Frequently Asked Questions

Learn more about our edge computing solutions

Take Your Edge Computing to the Next Level

Get in touch with us today to learn more about our platform.

team@fastagger.com

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