based on materials from the site - By crypto.news
As AI transitions from text to robotics, the battle for training data enters a new phase. Poseidon, backed by a16z, positions itself as an arbiter of this next-generation data economy, where origin and licensing are non-negotiable.
On July 22, Poseidon, a decentralized data layer focused on AI built on Story Protocol, announced a $15 million seed round led by Andreessen Horowitz's crypto division with participation from key industry sponsors.
Designed by Story and founded by AI researcher Sandeep Chinchali and engineer Sarik Shah, Poseidon enters the market with a clear mission: to uncover, structure, and license real-world data that is necessary for next-generation AI systems but currently lacking.
The startup claims that its infrastructure is designed to facilitate the collection and processing of long-form physical data, including first-person video recordings of household tasks and multilingual speech recordings, with IP provenance encoded at the protocol level.
Poseidon supporters, including cryptocurrency a16z, are betting that the company can become the link between data providers and developers of AI systems operating beyond the browser.
Poseidon's structure is based on four core principles, each addressing a critical flaw in the current AI training process. First, its demand-driven design flips the traditional model: instead of hoping that providers will upload useful data, Poseidon identifies what AI developers truly need and systematically incentivizes its collection.
Second, decentralized scaling recognizes that the diversity of the real world cannot be simulated; the platform uses SDKs for smartphones and specialized applications for global crowdsourcing of data, ensuring regional and situational diversity.
Third, structured validation ensures that raw inputs are cleared of duplicates, standardized for pipelines, and enriched with metadata, addressing the 'garbage in, garbage out' problem faced by many AI datasets. Finally, default intellectual property licensing ensures legal transparency of each asset through the Story Protocol blockchain, circumventing copyright issues that have hindered projects like OpenAI's Whisper.
Poseidon stated that this architecture operates as a comprehensive solution to AI data issues. At the data collection level, its tools range from lightweight mobile integrations for casual participants to specialized hardware partnerships for niche data.
After upload, machine learning pipelines automate curation, remove personally identifiable information, flag low-quality samples, and route edge cases to reviewers.
However, the most groundbreaking element is intellectual property rights management: each dataset is created as a composable asset on the Story Protocol blockchain, with provenance and royalty distribution governed by smart contracts.
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