Aki Network

Aki Network is a data-driven consumer network designed for Web3 scaling, with a primary focus on influencer marketing. Founded in Japan in 2021 by co-founder Ming, the company operates with a dual-layer structure. The foundational layer, Aki Protocol, is an open, multi-chain knowledge base that provides oracle services and rewards data contributors. The consumer-facing layer, Aki Network, is an application suite built on the protocol that concentrates on creating influencer-centered graphs and analytics.

The platform addresses challenges in the influencer marketing space, such as a lack of transparency and difficulty in measuring performance, by tracking on-chain data to quantify influencers' promotional impact. It utilizes AI and machine learning to evaluate influencer credibility through metrics like prediction accuracy and content originality. The business model serves Web3 projects seeking to launch marketing campaigns, connect with suitable influencers, and enhance user growth. It also empowers influencers, particularly mid-tier and micro-influencers, to monetize their content, grow their audience, and build a Web3 resume. Revenue streams include projects paying for marketing services and data subscriptions, often using the native AKI token.

Since its launch, Aki Network has achieved significant milestones, including facilitating over 160,000 on-chain interactions and building a base of over 16,000 influencers by the end of 2022. The company has secured multiple rounds of funding, including a seed round in April 2023 at a $40 million valuation and a Series A round in December 2023, which brought its valuation to $50 million. Key investors include MARBLEX, Puzzle Ventures, Mask Network, and Emoote.

Keywords: Web3 influencer marketing, on-chain data analytics, decentralized data, crypto influencer network, Aki Protocol, influencer performance tracking, KOL evaluation, crypto marketing, data-driven insights, oracle services, blockchain marketing, campaign engine, StarMap, Aki Badge, NFT marketing