mytrainingdata is a platform that enables individuals to license their personal digital content—such as texts, voice memos, photos, and device usage data—to AI developers while retaining full ownership. The service anonymizes data on the client side, masks identifying information, and lets users set licensing terms, earning passive revenue based on data volume and rarity.
Funding
Funding not disclosed
Founders
Product
Problem
AI developers train large language models on massive amounts of user-generated content that is collected without compensation, raising privacy concerns and depriving individuals of ownership benefits.
Solution
MyTrainingData provides a platform where individuals can connect their personal data sources—texts, voice memos, photos, and device usage—and license anonymized versions of that data to AI developers. The service performs on‑client de‑identification to mask identifiers before any data leaves the user’s device, allowing the user to retain full ownership and set non‑exclusive licensing terms. Earnings accrue based on the volume, rarity, and retrieval frequency of the licensed data, and users can withdraw payouts once a $10 threshold is reached. Users can stop licensing at any time, ensuring continuous control over their data.
Target Audience
Primary users are individuals who generate personal digital content and wish to monetize it while preserving privacy, as well as AI developers seeking ethically sourced, anonymized training data.
Features
- On‑device anonymization that removes up to 22 direct PII classes using automated NER and cryptographic scrubbing
- Real‑time preview of the anonymized dataset before it is offered to purchasers
- Configurable licensing parameters, including model categories, purchaser permissions, and non‑exclusive terms
- Passive revenue model that scales with data volume, rarity, and active retrieval logs, with a $10 minimum withdrawal
- Full retention of original data ownership and the ability to opt out or halt licensing at any moment
- Integration with common personal data sources such as messaging apps, photo libraries, voice recordings, and device usage logs