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Data Processors
Quotient is an AI marketing platform that helps teams plan, create, and manage campaigns effortlessly.
14sub-processors
HeadquartersNot specified, Not specified
Founded2020
Size51-200
MarketB2B
PublicPrivate
ProductsCampaign Planning, Content Creation, Email Marketing, Lead Nurturing, Analytics
By Category
All Sub-Processors
| Name | Category |
|---|---|
| Amazon Web Services | Cloud Infrastructure |
| Anthropic | AI & Machine Learning |
| GitHub | Cloud Infrastructure |
| Google Cloud Platform | Cloud Infrastructure |
| Infisical | Security & Identity |
| Inngest | Data Processing & Storage |
| Liveblocks | Cloud Infrastructure |
| Modal | Cloud Infrastructure |
| Neon | Cloud Infrastructure |
| OpenAI | AI & Machine Learning |
| Pusher | Communication |
| Resend | Communication |
| Sentry | Analytics & Monitoring |
| Vercel | Cloud Infrastructure |
Data Processing Locations
USA
14 sub-processors
Frequently Asked Questions
How many sub-processors does Data Processors use?
Data Processors uses 14 sub-processors (third-party data processors) as disclosed on their public sub-processor page.
What are Data Processors's main sub-processors?
Data Processors's sub-processors include Amazon Web Services (Cloud infrastructure provider. Used for storage, content delivery, and container orchestration services.), Anthropic (LLM provider. Powers AI features including content generation and marketing automation.), GitHub (Code hosting and CI/CD. Manages source code and deployment pipelines (does not process customer data).), Google Cloud Platform (Cloud services provider. Used for AI models and authentication services.), Infisical (Secrets management. Manages environment variables and API keys (does not process customer data).), and 9 more.
Where does Data Processors process data?
Data Processors's sub-processors are located in USA.