Neural Network Assets

Definition

Proprietary deep learning architectures, trained weights, and associated model artefacts representing significant intangible value for AI-native businesses. Neural network assets encompass convolutional neural networks, transformer architectures, and recurrent models trained on proprietary data to perform specific commercial tasks. Their value is assessed through the lens of performance superiority, replication cost, data exclusivity, and integration into defensible product offerings.