The Problem PublicAI Solves:
How PublicAI Solves It : PublicAI uses a blockchain backed platform and tokenized incentive system to (1) Collect: Recruit contributors to upload high quality data (photos, audio, drone footage, agricultural input data, etc.). (2) Verify: Use community based peer verification, smart contracts, and AI assisted tools to validate and label data. (3) Reward: Issue tokens to contributors and verifiers, enabling a fair data economy.
Traction Highlights : $14M worth of data contracts signed or in pipeline with AI companies and research institutions. More than 800,000 + contributors in 25+ countries, especially emerging markets (India, Kenya, Philippines, Latin America).
PublicAI is a decentralized data infrastructure platform that enables individuals and communities to monetize their real world experience and environment by contributing valuable data for artificial intelligence (AI) training like “Airbnb for Data”. Everyone around the world, especially in underserved regions, can contribute photos, videos, voice, or structured data to AI companies in exchange for rewards.
AI and Tech Stack: Computer vision, speech recognition, language understanding, geospatial AI, agricultural AI. LLM pipelines for data classification and validation. Computer vision models for image de duplication and quality scoring. Federated learning (planned) for privacy preserving data training.
Kenji Narushima, Co-Founder, is a former private equity investor and advisor in data-driven social impact, venture building, and frontier tech. He has spoken at international conferences on AI, Web3, and data equity, and brings deep expertise in tech diplomacy, decentralized infrastructure, and startup growth.
Steven Wong, Co-Founder, is a former PhD researcher at the Hong Kong AI Research Centre, specializing in applied AI for computer vision and multilingual data curation. His background spans decentralized systems and protocol governance, adding strong technical depth to the team.
Together, they bring technical fluency, on-the-ground experience, and institutional credibility.