Fastagger

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.