
Work Here?
Kled AI operates as a specialized data marketplace that connects content owners with AI developers. It sources licensed video libraries from film studios and production houses, then processes and labels the footage to create structured, high-quality data for training generative AI models. This data is sold or licensed to AI companies (for example OpenAI and Midjourney) to improve models, including text-to-video systems. Unlike general data brokers, Kled AI focuses on ethically sourced, licensed media and on turning raw video into labeled datasets that meet the needs of model training. Led by David Luan and a co-founder with deep experience in large language models, the company leverages its expertise to streamline data acquisition for AI labs and to create a new revenue stream for content creators. Its goal is to provide reliable data-as-a-service infrastructure that scales the supply of high-quality training data for the generative AI ecosystem.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Entertainment
Company Size
1-10
Company Stage
Early VC
Total Funding
$8.5M
Headquarters
Los Angeles, California
Founded
2025
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
Total Funding
$8.5M
Above
Industry Average
Funded Over
2 Rounds
Company Equity
Kled, a human data marketplace, has raised $3 million in a strategic investment from The Data Foundation, bringing its total funding to $14 million. The company says it has been selective with investors, limiting participation to strategic partners alongside top venture funds and angels. Kled disclosed updated growth metrics showing it is on track to exceed 5 billion user uploads and reach more than 2 million daily active data contributors this year. The investment highlights continued investor interest in data marketplaces that aggregate large, permissioned datasets at scale. The funding comes as market participants watch whether Kled can convert its reported traction into sustainable supply, demand and defensibility in the human data and AI data economy.
DeFi planet. Manage Consent To provide the best experiences, DeFi Planet use technologies like cookies to store and/or access device information. Consenting to these technologies will allow DeFi Planet to process data such as browsing behaviour or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Toss brings 30 million users into the AI data economy in partnership with Poseidon. Palo Alto, United States, June 26th, 2026, Chainwire Toss users can now contribute real-world data to train AI and get paid for it, in a first-of-its-kind model launching in Korea ahead of global expansion. Poseidon, the data infrastructure built to source and license real-world data for AI, today announced a partnership with Toss, the mobile financial platform operated by Viva Republica, to let everyday users contribute to AI training and be paid for what they provide. It is Toss's first move into AI data, and it opens that market to its roughly 30 million users. Frontier AI has run out of internet to scrape. The next generation of models depends on real-world data, the kind that captures how people actually speak, move, and react, which does not exist on the open web and has never had a clean way to be sourced, licensed, or paid for. Poseidon is building the infrastructure to change that, and Toss brings the reach to do it at scale. Through the partnership, Poseidon's contributor app, Numo, launches inside the Toss app. Toss users can help build Korean-language training data across voice, image, and video, and receive payment tied directly to what they contribute. Poseidon provides the infrastructure that tracks each contribution and its value, while Toss provides the user base and the financial experience that turns participation into payment. Together they offer a working answer to a question the AI industry has struggled with, which is how to compensate the people whose data makes models better. Every contribution made through Numo is registered on DATA, the AI data network that Poseidon refines data for. DATA gives each record a verifiable provenance trail through Trace, its public audit layer, so a buyer can see where a piece of training data came from and a contributor can see that their work was counted and paid. DATA Foundation, which launched this week from the rebrand of Story, is building this layer alongside integration partners including the human data marketplace Kled, and Poseidon is one of the largest sources of refined data flowing into it. What Numo collects is first-person data, recorded by real people in real environments, which is among the hardest and most valuable categories to obtain. It is the raw material for physical intelligence, the AI that has to operate in the physical world across robotics, autonomous vehicles, and other applications. Demand from global AI labs for this kind of data is climbing, and Korea is positioned to supply it, with its dense real-life data and Toss's user base. Poseidon and Toss intend to prove the model in Korea, then expand to global markets. Changhoon Seo, Executive Director of New Business at Toss, said: "As the AI industry grows, demand for high-quality data is rising just as fast. Toss plans to build an environment where users can take part in the data economy more easily and naturally, and to expand a structure in which the value they contribute is rewarded transparently." SY Lee, Chief Strategy Officer and Chairman of Poseidon, said: "Korea is one of the few markets where the strategic importance of AI data, a mature financial system, and world-class mobile experience all exist at once. Toss is the right partner to turn user-contributed AI data from an early idea into a standard the rest of the world can adopt." Lee previously founded the web-novel platform Radish and sold it to Kakao Entertainment, co-founded Story, the IP infrastructure that recently rebranded as DATA Foundation, and was named a Young Global Leader by the World Economic Forum this year. About Poseidon Poseidon is the data infrastructure for AI, built to source, refine, and license the real-world data that frontier models need and the open internet cannot supply. Incubated by the team behind The DATA Network, Poseidon bridges the gap between data supply and AI demand by enabling access to high-quality, IP-safe, and composable training datasets. Poseidon raised a $15 million seed round led by Andreessen Horowitz (a16z). Poseidon's contributor app, Numo, has recorded more than 711,000 data registrations worldwide and is available and is now available on the Toss app. Contact. HV [email protected]
The DATA Foundation launches to solve AI's multi-billion dollar Training Data bottleneck. June 26, 2026 Disclaimer: The below article is sponsored, and the views in it do not represent those of ZyCrypto. Readers should conduct independent research before taking any actions related to the project mentioned in this piece. This article should not be regarded as investment advice. Story has announced a strategic transition to become The DATA Foundation ("DATA"), launching Trace - an on-chain registry for AI training data provenance and licensing - alongside a flagship integration with Kled, the world's largest opt-in human data marketplace. The launch registers 1.5 billion user-contributed records on the DATA Network. Andrea Muttoni becomes CEO of The DATA Foundation, while Kled's founder, Avi Patel, joins as Chief Data Officer in an advisory role. AI's Training Data Has Hit a Bottleneck The shift to DATA reflects where the market is pulling hardest. AI training data has emerged as the most valuable - and least solved - category of intellectual property. Frontier AI labs have hit a multi-billion-dollar data bottleneck: the open internet has been effectively exhausted for scraping. What's left is either expensive and bespoke, or legally undocumented, leaving labs without a reliable way to source data at scale, prove its provenance, or guarantee its quality. The legal stakes are rising too. Frontier labs are building market-defining products on data sourced through opaque networks, often without clear records of consent or jurisdiction. Scraped, undocumented data is no longer a viable option for enterprise-grade AI. "The challenge in AI has shifted from compute and architecture to sourcing and provenance. As the scrapable web fractures, the question for labs now is who is keeping the receipts," said Andrea Muttoni, CEO of The DATA Foundation. "With Kled, we combine full data transparency and auditability with the largest pool of AI training data on the planet." Building the Infrastructure for Trusted AI Data DATA builds on Story's original mission to deliver a data and IP layer for the internet - recognizing that the most critical form of data and IP in this era is AI training data. The DATA Network provides essential infrastructure for AI training, anchored by its flagship Kled integration. Starting today, Kled's licensing rails and contributor receipts run on DATA Network, with added support for stablecoin payouts - registering 1.5 billion user-contributed records with built-in programmatic legal safeguards. "Frontier labs have exhausted the supply of high-quality, human-generated public text available on the open web. Suppliers showing data-sourcing provenance will win the next decade of deals, and that's our bet," said Avi Patel, CEO and founder of Kled and part-time advisory CDO of The DATA Foundation. "Instead of sourcing data blindly, Kled's data marketplace and DATA's auditable chain of custody converge on what labs actually need to license data with confidence and transparency." Trace Launches as the Public Audit Layer for AI Training Data Trace, The DATA Foundation's public audit and search platform, also launches today alongside the Kled integration. Trace generates immutable, confidential receipts for every contribution, allowing labs to verify dataset legitimacy in seconds. For every record uploaded by users worldwide, a receipt is generated on DATA - enabling upstream compensation for contributors' data and intellectual property. This directly addresses an urgent need for a verifiable, compliant AI training data market, which has become a legal and operational minefield in recent years. A Wider Contributor Network DATA's thesis has already been validated by Poseidon, the AI data-processing project incubated by Story, which cleans, normalizes, and scores raw human data for authenticity and quality - ensuring every record that reaches a buyer is model-ready. Poseidon's early traction with frontier labs helped prove out the AI training data opportunity. Backed by a16z and now running entirely on DATA, its contributor app Numo is live today, bringing thousands of contributors into the AI economy in exchange for real-time payouts. "We started Story to build an IP layer for the internet, and the most important IP of this era is the data you can't scrape: how a surgeon's hands move, how a robot grips, how people speak, drive, and work in the real world," said SY Lee, CEO of PIP Labs and strategic adviser to The DATA Foundation. "DATA is where that conviction goes next: an end-to-end network that proves real-world data's origin, licenses it, and pays the people who made it." Token Migration and Ecosystem Continuity The $IP token migrates to $DATA one-to-one, with no action required from existing holders. Migration guidance, exchange timing, and an FAQ are available for those who want details. About The DATA Foundation Data is the biggest bottleneck in frontier AI. The data models need to either sit siloed with people and companies, or don't exist yet - and won't, until incentives are aligned to create it. DATA Network is the world's AI audit rail, built to answer the three questions every lab asks: can you source data at scale, prove where it came from, and guarantee its quality? Contributor apps, including Numo and Kled, supply opt-in human data; Trace gives every record a public, tamper-proof receipt; Poseidon turns it into model-ready datasets - so frontier AI can keep advancing on a foundation it can actually trust. $IP is now $DATA. More information available at datafdn.org.
Kled announces a $5.5M seed round backed by top investors, bringing total financing to $9M.
Kled AI, a Solana-based AI data marketplace, has completed a $5.5 million seed funding round, bringing its total funding to $9 million. The round attracted notable investors including Sebastian Thrun, founder of Waymo, Aglaé (a venture capital fund under Bernard Arnault), K5 Global, and Parable VC. Other participants included Cox Exponential, Daniel Greenberg (founder of MSCHF), Harrison Shih from DoorDash Labs, and Kent Lacob, a shareholder of the Golden State Warriors. The company operates within the Solana ecosystem, focusing on AI data marketplace services.
Find jobs on Simplify and start your career today
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Entertainment
Company Size
1-10
Company Stage
Early VC
Total Funding
$8.5M
Headquarters
Los Angeles, California
Founded
2025
Find jobs on Simplify and start your career today