Conwai

Conwai is a Layer 3 designed around the full AI lifecycle, named after the mathematician John Conway. It turns data collection and labelling, training and evaluation, fine-tuning, inference, retrieval augmentation and human-feedback alignment into separately priced on-chain modules, so model wrappers, data markets and inference networks stop being scattered across chains and a developer can go from data to deployment inside one chain.

The mainnet handles settlement and incentives while compute and inference run off-chain and return proofs, with data contributors paid according to how often their data is called. Enterprise features add private data access and permission control so training data can inform model iteration without leaving its source. Developer documentation covers data pipelines, model calls and agent orchestration, with on-chain records used to attribute and bill each call.