ZeroTrain
A rule-based decision engine for developers needing traceable, no-GPU AI artifacts (APIs, ONNX, DLLs) over an opaque trained model.
What it does
ZeroTrain converts encoded domain knowledge into deployable, rule-based decision artifacts such as APIs, ONNX model files, and DLLs. It positions itself as a deterministic alternative to trained machine learning models, aiming to avoid model drift and omissions while running without GPUs.
Core features
Generates deployable APIs, ONNX models, and DLLs from domain rules
Deterministic, rule-based evaluation instead of trained-model inference
Runs natively without GPU hardware
On-demand inference designed to avoid model drift
Developer API access
Best for
→Embedding auditable, deterministic decision logic into applications or agents
→Deploying decision models where drift and unpredictability are unacceptable
→Adding rule-based automation to Power Automate workflows