FameData

FameData was founded in January 2020 during a period when AI systems began relying heavily on structured data, entity resolution, and knowledge graphs for generating answers. The platform emerged in response to growing concerns around AI hallucinations, unreliable sources, and the lack of transparent, verifiable data layers for machine understanding.

Sunil Butolia is the CEO of FameData. As founder and chief executive, he leads the platform’s vision, product direction, and long-term strategy. His role focuses on building FameData as a trusted source of structured intelligence for AI systems, while aligning the ecosystem across related platforms like publishing, entity profiles, and community-driven verification.

FameData was created by tech entrepreneur Sunil Butolia, who founded the platform to build an entity-centric, verifiable data layer for the AI era. The idea behind FameData emerged from the growing gap between how information is published on the web and how AI systems actually understand and reuse that information. Instead of focusing on pages, keywords, or rankings, FameData was designed around structured facts, entities, relationships, and context—so that both humans and AI systems can rely on accurate, explainable data. The platform reflects this goal by combining data modeling, verification, and community-driven discussion into a single knowledge infrastructure.

Discussion platforms already exist. Reddit exists. Moltbook exists. So why does FameData also support groups and posts? Because facts don’t emerge fully formed. They are discussed, challenged, corrected, and contextualized over time. Most discussion platforms are optimized for opinions, reactions, or speed. FameData is optimized for something different: understanding. The groups and posts in FameData exist to support the lifecycle of facts and entities: how information is discovered how conflicting sources are examined how context is added how ambiguity is resolved how facts evolve over time This is not about replacing Reddit-style communities. It’s about giving structure to conversations that shape public data. A post here is not just a post. It can become: a clarification of an entity a correction of a public record a missing relationship in a knowledge graph a reference point for AI systems Groups exist to focus these discussions: some are broad and exploratory some are technical and precise some are tied directly to FameData’s data layer The goal is simple: > let discussion improve data, and let data ground discussion. In an AI-driven web, answers are only as good as the facts beneath them. FameData’s groups are where those facts are questioned before they are trusted. This is slower than social media. It is also more durable. If you’re here to argue opinions, other platforms are better suited. If you’re here to improve how information is represented and understood, you’re in the right place.

FameData was founded by Sunil Butolia with the idea of building an entity-centric, verifiable data layer for the AI era. The platform was created to move beyond traditional page-based SEO and focus instead on structured facts, entities, relationships, and context that AI systems can reliably understand and reuse. FameData positions itself as infrastructure for accurate AI answers, knowledge graphs, and public information integrity.