Dustyn

I'm Dustyn Ryser, a self-taught builder from rural Alberta, Canada. I built TQNN Labs from notebooks on a phone into a live cloud platform with a public API, Python SDK, and patent-pending technology. I'm driven by first-principles thinking and building practical AI systems that solve real-world problems. Always interested in connecting with researchers, founders, and developers.

TQNN LABS

Building TQNN, a fault-tolerant inference platform designed to make confidence-aware decisions from noisy, incomplete, or uncertain data.
Built solo from the ground up with a managed cloud runtime, public REST API, official Python SDK, and modular inference architecture.
The platform is being validated across industrial process monitoring, fault detection, EEG, financial time-series, and structured data, with a focus on robust real-world inference rather than isolated benchmarks.

Products

TQNN SDK
The official Python SDK for the TQNN Fault-Tolerant Inference Platform.Build confidence-aware applications that continue making reliable decisions when data is noisy, incomplete, or uncertain.Connect to the managed TQNN cloud runtime with a simple Python API and receive structured predictions, confidence scoring, input-integrity reporting, and runtime diagnostics through a single interface.
RealeasedPre revenue
TQNN Fault-Tolerant Inference API
Commercial fault-tolerant inference platform from TQNN Labs.Build confidence-aware applications that continue making reliable decisions when data is noisy, incomplete, or uncertain.Access the managed TQNN cloud runtime through a simple REST API and receive predictions, confidence scoring, input-integrity reporting, diagnostics, and controlled decisions through one unified interface.
RealeasedPre revenue

Recent activity

From a phone to a live AI platform

Dustyn

TQNN SDK

TQNN Fault-Tolerant Inference API