P¬P Studio

Design and deploy production-ready neural networks visually — with classical ML baselines (logistic regression, linear regression, XGBoost, K-Means) when you need them. You bring the data; the exported zip ships a dataset scaffold for the model you designed.

Visual AI project builder

Part of the end-to-end workflow from dataset to trained neural network to deployable export.

Dataset manager

Part of the end-to-end workflow from dataset to trained neural network to deployable export.

Pipeline builder

Part of the end-to-end workflow from dataset to trained neural network to deployable export.

Training engine

Part of the end-to-end workflow from dataset to trained neural network to deployable export.

Evaluation dashboard

Part of the end-to-end workflow from dataset to trained neural network to deployable export.

PyTorch export

Part of the end-to-end workflow from dataset to trained neural network to deployable export.

Deployment scaffold

Part of the end-to-end workflow from dataset to trained neural network to deployable export.