Rosetta Stone's core methodology relies on voice recognition, making speech data collection fundamental to the product. Enterprise roots mean data may be shared with institutional clients (employers, schools) who purchase access. Long retention periods and broad data rights reflect legacy enterprise software practices rather than modern consumer privacy expectations.
| Data Type | Collected | Shared | Sold |
|---|---|---|---|
| Voice Recordings | Extensive | AI Development | No |
| Learning Progress | Yes | Enterprise Clients | No |
| Usage Analytics | Yes | IXL Learning | No |
| Account Information | Yes | Affiliates | No |
| Speech Analysis | Detailed | Product Development | Research partners |
Rosetta Stone's methodology requires extensive voice analysis. Every speaking exercise captures recordings that are analyzed for pronunciation, accent, and speech patterns. This creates detailed voice profiles retained for product improvement.
If your access comes through an employer or school, your learning progress and engagement data may be shared with that institution. Your employer may know exactly how much you're using the software they're paying for.
As part of IXL Learning, your data may be combined with educational data from other IXL products. This creates comprehensive learning profiles that span multiple educational contexts.
Enterprise software heritage means long data retention periods. Voice recordings and learning data may be kept for years, even after you stop using the service.