This analysis describes what Tabnine's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The clause operationalizes a tiered approach to data utilization, creating distinct contractual terms for training data use depending on subscription level. This structure ties data practice permissions to account classification and pricing tier.
Interpretive note: The enforceability of the enterprise training carve-out depends on whether it is reflected in a binding DPA rather than solely in the privacy policy, which can be updated unilaterally.
The updated privacy policy no longer includes explicit language stating that Tabnine respects user privacy and the user's right to control how personal data is collected, used, and shared. This language removal does not necessarily change what data practices are authorized under other sections of the policy, but it does remove an aspirational commitment that was previously stated. The policy may continue to describe specific data practices, collection methods, and user controls elsewhere, but readers will no longer see this opening commitment to privacy and user control.
View change record →Users on Enterprise and Team plans operate under a contractual restriction on their submitted content being used for model training. Users on free or individual plans operate under authorization for the service to use their aggregated and anonymized prompt data for model improvement purposes.
How other platforms handle this
We may use Materials to provide, maintain, and improve the Services and to develop other products and services, including training our models, unless you opt out of training through your account settings. Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to...
To improve the quality of our services, we analyse texts submitted for translation. We ensure that this analysis cannot be traced back to individual users by anonymising the data before analysis. DeepL Pro subscribers' texts are not used to train our machine translation systems.
Applicability: This Policy applies to personal data that Midjourney collects, uses, and discloses and which may include: (i) data collected through the Services, (ii) data collected through the process of training Midjourney machine learning algorithms, (iii) data collected through Midjourney websit...
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"For Enterprise and Team plan customers, Tabnine does not use your code or other content submitted to the AI as training data for our models. For users on our free or individual plans, we may use aggregated and anonymized prompt data to improve and train our AI models.— Excerpt from Tabnine's Tabnine Privacy Policy
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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The clause operationalizes a tiered approach to data utilization, creating distinct contractual terms for training data use depending on subscription level. This structure ties data practice permissions to account classification and pricing tier.
Users on Enterprise and Team plans operate under a contractual restriction on their submitted content being used for model training. Users on free or individual plans operate under authorization for the service to use their aggregated and anonymized prompt data for model improvement purposes.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Tabnine.