Funding
$14M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
AI developers and research institutions struggle to obtain large, high‑quality, licensable human‑generated datasets needed to train and improve generative models. Existing data sources are often unverified, lack diversity, and provide limited incentives for contributors, leading to scarcity of realistic training signals such as optical factors and multilingual speech.
Solution
Kled operates a mobile‑first marketplace that lets everyday users opt‑in to upload a variety of data types—including images, voice recordings, and academic work—and receive direct compensation. The platform verifies contributors, curates a “core‑set” of high‑utility data, and makes these datasets available for licensing to AI companies, governments, and research labs. By aggregating millions of daily uploads, Kled scales the supply of human data while maintaining quality and provenance. A low‑friction earning model expands participation beyond traditional gig work, attracting middle‑income users. Enterprise‑grade compliance infrastructure and token‑based data ownership further assure licensors of data integrity and legal safety.
Target Audience
The primary customers are AI developers, research labs, and enterprises that require high‑quality human data for model training. The secondary audience consists of individual contributors—students, freelancers, and creators—who seek to earn income by sharing their data.
Features
- Mobile app (iOS) for easy data capture and upload, supporting images, video, voice, and document files.
- Multilingual voice upload capability, enabling high‑value speech data for next‑generation voice models.
- Contributor verification and curation pipeline that produces licensable “core‑set” datasets.
- Revenue‑sharing model that pays contributors directly for each licensed data contribution.
- Enterprise compliance framework (partnered with Vanta and Workstreet) for trusted AI data licensing at scale.
- Tokenomics layer that tracks data provenance and can represent ownership or usage rights on-chain.
- API/enterprise portal for AI companies and institutions to browse, license, and download curated datasets.