Get the weekly research letter
Companies change their terms quietly. We read every version and catch what actually changed. One email a week on the changes that matter and what they mean. No account.
The policy authorizes Replit to share user information, including user-generated code and usage data, with machine learning companies retained as service providers in connection with providing the Services.
This analysis describes what Replit'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
This provision authorizes disclosure of user data, including code, to machine learning service providers. This has operational significance for developers whose code may contain proprietary logic, credentials, or sensitive data, and for enterprise customers evaluating the scope of data access granted to Replit's vendor ecosystem.
Interpretive note: The policy discloses machine learning companies as a category of service provider but does not identify specific vendors or the specific data categories each receives; the full scope requires review of Replit's separately published Subprocessors list.
Under this clause, user-generated content including code, along with registration, device, usage, and location data, may be shared with machine learning companies as part of Replit's service provider network. The policy does not specify which machine learning providers receive which categories of data or for what specific machine learning purposes.
Cross-platform context
See how other platforms handle Machine Learning Provider Data Sharing and similar clauses.
Compare across platforms →Monitoring
Replit has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"We may share any information we receive with vendors retained in connection with the provision of our Services and that process your information on our behalf. These entities may include analytics, billing, legal support, marketing, security, machine learning, and fraud prevention companies.Excerpt from Replit's Privacy Policy
1) REGULATORY LANDSCAPE: This provision implicates GDPR processor and sub-processor disclosure requirements for EEA and UK users; Replit references a separate DPA for entity customers in those regions, which should be reviewed to confirm sub-processor listing and notification obligations. The CCPA's service provider contractual requirements are also relevant, as data shared with machine learning vendors must be governed by a qualifying service provider agreement to avoid constituting a sale. FTC oversight of data sharing with third-party AI and ML vendors is an active enforcement area. 2) GOVERNANCE EXPOSURE: Medium. The disclosure that machine learning companies may receive user data is operationally significant for enterprise and developer customers but is framed at a categorical level without identifying specific vendors or the scope of data each receives. Replit publishes a separate Subprocessors list linked from the site footer, which compliance teams should review to assess the specific machine learning vendors involved. 3) JURISDICTION FLAGS: EEA and UK users have sub-processor transparency rights under GDPR, and Replit's DPA should specify sub-processor notification procedures. California users under CCPA may request categories of third parties with which data is shared. Organizations in regulated industries such as financial services or healthcare should assess whether sharing code or operational data with ML vendors is consistent with their sector-specific obligations. 4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should review Replit's published Subprocessors list and the DPA to assess whether sub-processor contractual protections are adequate. B2B agreements should address whether code submitted to Replit may be used for training or improving third-party ML models, and whether adequate confidentiality protections apply to that data in the hands of ML service providers. 5) COMPLIANCE CONSIDERATIONS: Compliance teams should request and review Replit's current Subprocessors list to identify specific machine learning vendors. Data mapping exercises should classify user-generated code as a data category shared with ML providers. Organizations with intellectual property or confidentiality obligations should assess whether Replit's service provider agreements with ML companies include adequate data use restrictions and deletion obligations.
This provision authorizes disclosure of user data, including code, to machine learning service providers. This has operational significance for developers whose code may contain proprietary logic, credentials, or sensitive data, and for enterprise customers evaluating the scope of data access granted to Replit's vendor ecosystem.
Under this clause, user-generated content including code, along with registration, device, usage, and location data, may be shared with machine learning companies as part of Replit's service provider network. The policy does not specify which machine learning providers receive which categories of data or for what specific machine learning purposes.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Replit.