Dustyn
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 SDKPre revenue Realeased
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.
- TQNN Fault-Tolerant Inference APIPre revenue Realeased
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.