Revenue Search: Inside Bittensor Subnet Session with David Fields from ReadyAI: SN 33
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Jul 12, 2025 David Fields, co-founder of ReadyAI, brings his rich background from Disney and investment to discuss the transformative potential of decentralized data annotation on BitTensor. He explains how ReadyAI’s platform converts raw text into structured datasets, starting with podcast transcripts and expanding to social media. David highlights the crucial role of structured data in enhancing enterprise AI and the need for partnerships to scale operations. He also addresses enterprise concerns over data privacy post-Meta's Scale acquisition, underscoring the shift towards decentralized solutions.
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Decentralized Model-Powered Data Labeling
- ReadyAI uses a decentralized network of miners running models to convert raw text into structured, AI-ready datasets.
- This approach aims to be faster, cheaper, and more accurate than large human-annotator services like Scale.
Scale Acquisition Fractured Trust Quickly
- David contrasts ReadyAI's model-based miners with Scale's human annotators and highlights Scale's recent acquisition by Meta.
- He points out that relationships with Scale dissolved quickly after the Meta deal, underscoring enterprise concern about centralization.
Start With Conversational Text, then Scale
- ReadyAI began with conversational text like podcast transcripts and expanded to social media and Hugging Face datasets.
- They open-sourced a podcast conversational dataset and have seen significant downloads, proving utility and adoption.