Perle (PRL)

Rank #643

Perle (PRL) is a web3 Artificial Intelligence platform built on Solana. It connects verified experts with companies and research teams to train and improve AI models. The goal is to organize data annotation and validation tasks with a focus on quality and traceability.

How Perle works

On the network, professionals, researchers, and domain experts can perform data annotation and validation tasks. By completing high-quality activities, they receive rewards and contribute to an on-chain reputation. This format seeks to strengthen continuous model improvement processes.

Perle also supports evaluation cycles and RLHF, addressing the recurring need for data to train and fine-tune systems. The platform was designed to scale these stages with greater consistency.

What Perle is used for

Perle tackles data bottlenecks by dealing with the demand for high volume and high quality in annotation and evaluation. This helps reduce limitations in pipelines that do not always keep up with the required scale.

In addition, the proposal seeks to reduce noisy signals coming from generic feedback. With the participation of verified experts, the quality of the feedback tends to be more aligned with the domain context.

Verification and reputation in practice

One of the pillars of the project is verifiability: processes without transparency can make it difficult to assess contributors' performance. Perle uses on-chain trails and reputation to provide greater clarity about quality and participation.

With this design, the platform improves the auditability of the work and supports the continuous improvement of models within the Solana ecosystem.