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AgentVoice is a platform for building AI-powered voice agents that can make and answer phone calls and take meaningful actions like booking meetings, sending texts, and updating CRMs without requiring a developer.
19sub-processors
HeadquartersNot specified, United States
Size201-1000
MarketB2B, SMB, Mid-Market
PublicPrivate
ProductsAI voice agents, CRM integration, Workflow automation, Campaign management, Outbound and inbound call handling
By Category
All Sub-Processors
| Name | Category |
|---|---|
| Amazon Web Services | Cloud Infrastructure |
| Anthropic | |
| AssemblyAI | AI & Machine Learning |
| Cerebras | |
| CloudConvert | Content & Localization |
| Deepgram | AI & Machine Learning |
| ElevenLabs | AI & Machine Learning |
| Firecrawl | |
| Google Cloud / Workspace | Cloud Infrastructure |
| Groq | AI & Machine Learning |
| Heroku | Cloud Infrastructure |
| Hume AI | AI & Machine Learning |
| NVIDIA | Cloud Infrastructure |
| OpenAI | |
| Pinecone | Cloud Infrastructure |
| SendGrid | Communication |
| Together AI | Cloud Infrastructure |
| Twilio | Communication |
| xAI |
Data Processing Locations
Global
9 sub-processors
US / EU
4 sub-processors
Regional (per AWS region)
1 sub-processor
EU (Germany)
1 sub-processor
Global (per Google data centers)
1 sub-processor
Regional (Salesforce infrastructure)
1 sub-processor
Regional
1 sub-processor
US
1 sub-processor
Frequently Asked Questions
How many sub-processors does AgentVoice use?
AgentVoice uses 19 sub-processors (third-party data processors) as disclosed on their public sub-processor page.
What are AgentVoice's main sub-processors?
AgentVoice's sub-processors include Amazon Web Services (Cloud hosting and storage), Anthropic (Model inference (Claude)), AssemblyAI (Speech-to-Text AI processing), Cerebras (Model inference / accelerator services), CloudConvert (File conversion (media / docs)), and 14 more.
Where does AgentVoice process data?
AgentVoice's sub-processors are located in Global, US / EU, Regional (per AWS region), EU (Germany), Global (per Google data centers), Regional (Salesforce infrastructure), Regional, US.