Néah Analytics: Building the Intelligence Layer for the Tokenized World

In the emerging frontier of tokenized assets, a deep, persistent flaw haunts the ecosystem: information about NFT-enabled businesses & real world asset verticals are fragmented, myopic, and grossly incomplete. While on-chain data, metrics like floor price, trading volume, and wallet activity, scratches the surface, the real economic and cultural impact of these businesses tends to happen off-chain as well: be it at meetups, merchandise drops, partnerships, loyalty programs, and brand community movements.

Néah Analytics was founded to bridge that chasm.

Néah is constructing the world’s first global index of NFT-enabled businesses, pairing rigorous on-chain analytics with previously invisible off-chain intelligence.

The ambition: to create a definitive, chain-agnostic understanding of value in the non-fungible economy, and to become the trusted knowledge base that catalyzes its next wave of institutional and consumer adoption, which we believe will be fueled by the tokenisation of real world assets.

The Problem: A Partial Reality

Blockchain technology was supposed to democratize information and ownership. But the ecosystem it birthed remains largely blind:

• On-chain metrics tell you what transacts, but not what thrives.

• Real engagement, events, brand partnerships, IP licensing, cultural capital, happens off-chain, unmeasured and untapped.

• For businesses and consumers alike, making decisions based solely on on-chain data is like navigating a city using only a satellite map, devoid of street-level context.

In short: value ≠ floor price.

The Néah Solution: A New Intelligence Stack

Néah’s multi-layered platform addresses this blind spot through three synergistic pillars:

1. Néah Core

The heart of the operation: a cleaned, indexed database combining on-chain transactional data and off-chain qualitative insights across protocols like Ethereum, Tezos, Moonbeam, and Avalanche — already covering over 800 collections and growing.

Segmented by marketplace, industry, utility, and protocol, Néah Core provides the first truly chain-agnostic foundation for deep analysis and discovery.

2. Néah DYOR (Do Your Own Research)

A public-facing, multi-chain knowledge base, the “CoinMarketCap of NFTs”, where users can transparently explore holistic profiles of NFT-enabled businesses, blending data storytelling with social context. It’s Google-indexed for maximal discoverability and acts as a CMS for project teams to capture new demand.

3. Néah Content & Data API + NéahGPT

Néah’s API services provide developers and institutions with real-time access to structured on- and off-chain data streams, fueling the next generation of web3-native applications.

Meanwhile, NéahGPT, an AI discoverability and analysis toolkit, uses Néah’s proprietary dataset to train LLMs (Large Language Models), offering smart, contextualized interaction with the NFT data universe.

Why Now?

• 97 million users interact with fungible token ecosystems monthly; yet non-fungibles lack a trusted entry point.

• SMEs and MNCs across industries are rapidly experimenting with NFT integrations — without data infrastructure to guide them.

• First-mover advantage in collecting off-chain intelligence creates a flywheel: the more data Néah gathers, the stronger its network effects become, raising the barrier to competitors.

As new capital and brands flood into the tokenized space, the winners will not be those who guess — but those who know.

Business Model & Competitive Edge

• DYOR Platform: Free for users; paid subscription model for collections seeking customization and visibility.

• API Services: Monetized per call, fueling third-party applications across wallets, marketplaces, and analytics platforms.

• NéahGPT: SaaS for premium access, developer integrations, and white-labeled discovery agents.

Néah positions itself at the intersection of off-chain depth and on-chain speed — an intelligence company for a decentralized era.

No other platform at the time combined:

• Multi-chain coverage

• Primary sourced qualitative data

• Structured discoverability

• Enterprise-grade developer tools