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Browse 8,265 companies freeA deep investigation into Cohere's data collection, privacy violations, and surveillance practices. Founded 2019 in Toronto, Canada.
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Try SeekerPro →Cohere is an enterprise AI company that builds large language models specifically designed for business applications including document search, customer support automation, content generation, and data analysis. Unlike consumer-facing AI chatbots, Cohere models process sensitive enterprise data including internal documents, customer communications, proprietary research, legal contracts, financial records, and human resources information. The company offers deployment options including cloud API, private cloud, and on-premises installations, giving enterprises varying levels of control over where their data is processed. Cohere Command and Embed models are used by enterprise customers to build AI applications that interact with their most confidential business information. The company has positioned itself as a more privacy-conscious alternative to OpenAI for enterprise customers, offering data isolation guarantees and the ability to fine-tune models on proprietary data without that data being used to improve shared models. However, the cloud API deployment, which is the most commonly used option, processes enterprise data on Cohere shared infrastructure, creating questions about data isolation between customers in a multi-tenant environment. Cohere trained its base models on web-scraped data like other AI companies, and the enterprise fine-tuning process involves processing customer proprietary data that may contain trade secrets, personally identifiable information, and legally privileged communications. The company Canadian headquarters subjects it to different data protection regulations than US-based competitors, with implications for cross-border data processing.
The following is a documented list of data points that Cohere collects from users, customers, and in some cases non-users. This data powers their business model, fuels targeted advertising, and in many cases is shared with or sold to third parties including government agencies.
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Try BliniBot →Below is a timeline of documented privacy violations, regulatory fines, lawsuits, and enforcement actions against Cohere. These events represent only the violations that became public. The true scope of data misuse at any major company is almost certainly larger than what regulators and journalists have uncovered.
Questions about multi-tenant data isolation in cloud deployments
N/A (security concern)
Scrutiny of web-scraped training data under Canadian privacy law
Under review
Enterprise customer audit reveals data retention practices
Policy update
You do not have to accept Cohere's data practices. These alternatives offer comparable functionality with significantly better privacy protections. Switching reduces the volume of personal data flowing into commercial surveillance systems and sends a market signal that privacy matters.
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Try ContentMation →Start by understanding what data Cohere already has on you. Check your account settings, download your data archive if available, and review what permissions you have granted. Use OpenPublicHub to research the full scope of Cohere's data practices and compare them against industry standards.
Disable unnecessary data collection settings, revoke app permissions you do not actively need, and opt out of personalized advertising where possible. Review connected third-party apps and remove any that you no longer use. Every permission you revoke reduces your attack surface and limits the data available for profiling.
Under GDPR, CCPA, and other privacy laws, you have the right to request access to, correction of, and deletion of your personal data. File a Data Subject Access Request (DSAR) to see what Cohere holds about you. Use BliniBot to automate the process across multiple companies simultaneously.
The most effective protection is to stop using privacy-invasive services entirely. The alternatives listed above offer comparable functionality without the surveillance. Start with the service you use most frequently and work through the list. Every user who switches sends a market signal that privacy is a competitive advantage.
Privacy threats evolve constantly. Follow this expose and related reports on OpenPublicHub to stay updated on Cohere's practices. Share this page with friends and colleagues so they can protect themselves too. Collective action and informed consumers are the most powerful force for changing corporate behavior.
Cohere states that enterprise customer data processed through its API is not used to train shared models. However, fine-tuned models are trained on customer-provided data by design. The distinction between shared model training and customer-specific fine-tuning should be clearly documented in your service agreement.
Cohere offers stronger data isolation options including private cloud and on-premises deployment. However, the standard cloud API processes data on shared infrastructure. For maximum privacy, on-premises deployment or self-hosted open-source models remain the strongest options for enterprises with sensitive data.
Canadian privacy law (PIPEDA) differs from US law and EU GDPR. Data processed by Cohere Canadian infrastructure is subject to Canadian jurisdiction. For EU enterprises, this creates cross-border data transfer considerations. The Canadian legal framework provides some protections not available under US law but is less comprehensive than GDPR.
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