Introduction

Building The World's Largest Decentralized Intelligence Platform

Gamifying Data Collection and Labeling

Navigate = AI x Web3 x Gamification

Creating new datasets for AI shouldn’t be boring. At Navigate, we are gamifying data-collection so our community co-creates high-quality datasets while playing. #PlayToBuild if you will...

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Earn From Your Data

Data collection is divided into 2 categories:

1- Passively contributing data streams through data connections

2- Actively contributing high-value training data through quest

Passive

Passive data collection includes data from the open internet, which is exactly what companies like OpenAI have used to train large language models. There is also data that lives behind corporate firewalls, like my Amazon shopping history, your Spotify listening history, etc.

Passive data collection creates an ethically sourced, zero-party, 360-degree view of you and your digital landscape

Active

Active data collection covers a wide variety of micro-tasks within the game, like data labeling or classification. Active data generation helps AI companies who need rapid data collection, annotation and RLHF.

Where passive data collection requires merely a minor resource commitment, active data collection requires a resource commitment as well as a time commitment!

Launching on Arbitrum

We believe that Ethereum is inevitable. L2s are a core component of the ecosystem, which is why are are launching on Arbitrum.

When you play Data Quest, each extension that is downloaded and joins the network is a node. Each node is then registered on-chain via the Sepolia testnet ARB.