Synesis One

Synesis One is a Web3 crowdsourcing platform that supplies high-quality training data for AI models through a 'Train2Earn' model. Users contribute data by completing tasks such as labeling or validation, earning SNS tokens in return. The platform uses a dual-token system: SNS for governance and Kanon, a semi-fungible NFT representing unique data primitives, which can be traded or staked. Its core value lies in lowering the barrier to AI data production, enabling anyone to participate and get rewarded, while ensuring data authenticity and traceability via blockchain. The main pain point it addresses is the high cost and centralization of traditional AI data labeling, which often involves intermediaries and opaque processes. In terms of recent developments, the project suffered a major security incident around February 2026, when an attacker minted approximately 1.5 billion unauthorized SNS tokens and sold them on the open market. Following this, the team announced a gradual wind-down of operations, with plans to issue a new token to compensate holders based on snapshots taken before and after the incident. As of late August 2026, the project is in the process of decommissioning its original token and transitioning its core team toward agentic AI initiatives, while the SNS token has become largely illiquid with minimal trading activity.