Companies struggle to document why specific training data and parameters were chosen for AI models.
Build a version-controlled logging system that automatically records all training inputs, hyperparameters, and evaluation metrics.
Sell to healthcare, finance, and government AI teams facing compliance requirements.
Start by integrating with popular ML frameworks like PyTorch.
Risk: May require deep technical integration with diverse ML pipelines.