Turn this comparison into procurement-ready diligence
Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.
Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.
Your privacy
We use first-party analytics and Google Analytics to understand traffic and improve the site (IP-derived location, device info, analytics cookies). We never sell your personal information and run no advertising trackers. You can opt out below. See our Privacy Policy and Cookie Policy.
293 verified findings across the displayed surfaces.
213 verified findings across the displayed surfaces.
Empty Comparison Slot
Orchids has moderate defaults; Cohere API carries the most permissive license terms of the set.FOR ENTERPRISE: COHERE API NOT RECOMMENDED · ORCHIDS ENTERPRISE TIER ACCEPTABLE
| RISK SURFACE | COHERE API | ORCHIDS |
|---|---|---|
| PPrompt Ownership | ||
| OOutput Ownership | ||
| TModel Training | ||
| CCommercial Use | ||
| DData Privacy | ||
| $Tier Differences |
“You agree that any suggestion or idea provided by you (such suggestions or ideas, “ Feedback ”) will not be treated as confidential, and nothing in these Terms of Use will restrict our right to use, profit from, disclose, publish or otherwise exploit any Feedback, without compens…”
Feedback submitted by users — which could be interpreted broadly to include prompts or suggestions provided to the platform — is subject to a perpetual, irrevocable, royalty-free worldwide license with no compensation to the user.
“ We reserve all rights not expressly granted to you in and to the Services, Content, and Marks. ”
“ publish, market, advertise or in any way distribute the Content;”
“ 8. USER GENERATED CONTRIBUTIONS ”
“For Trial Users and Researchers (i.e. users interacting with Cohere Products on research-specific platforms like Hugging Face, Cohere Labs grantee users, or users demoing Cohere Products under a free trial account), we collect content you submit to the Cohere Products, and output…”
Trial Users and Researchers have their inputs and outputs used for model training and R&D by default, with no explicit opt-out described in this section.
“ By submitting suggestions or other feedback regarding the Services, you agree that we can use and share such feedback for any purpose without compensation to you. ”
“ attempt to gain unauthorized access to the Cohere Solution, or bypass any measures we may use to prevent or restrict access to the Cohere Solution, attempt to circumvent the intended features, functionality or limitations of the Cohere Solution, or otherwise use, copy, distribut…”
“ You may not access or use the Services for any purpose other than that for which we make the Services available. The Services may not be used in connection with any commercial endeavors except those that are specifically endorsed or approved by us. ”
“Safeguards, Retention and Privacy Governance”
The document references a 'Safeguards, Retention and Privacy Governance' section but does not provide its content in the supplied text. Retention periods and deletion rights cannot be assessed from this excerpt.
“We have collected the following categories of personal information in the past twelve (12) months: Category Examples Collected A. Identifiers Contact details, such as real name, alias, postal address, telephone or mobile contact number, unique personal identifier, online…”
The platform collects biometric information (fingerprints and voiceprints), protected-class characteristics (race, ethnicity, national origin, gender, age), financial information, and behavioral inferences. This is an unusually broad and sensitive data collection profile for an AI platform.
“Section 2.3 (Research and Model Improvement): Analyzing usage patterns and using Trial or Research User Inputs/Outputs to improve the performance and safety of our AI models.”
Model training use of inputs/outputs is explicitly scoped to 'Trial or Research Users', implying paid or enterprise users may not have their data used for training. However, this distinction is not clearly defined elsewhere in the extracted text, creating ambiguity about which tier a given user falls into.
“ We reserve the right to refuse any order placed through the Services. We may, in our sole discretion, limit or cancel quantities purchased per person, per household, or per order. These restrictions may include orders placed by or under the same customer account, the same paymen…”