--- title: "Private AI Voice Agents: On-Premise and Private Cloud | Ringg AI" description: "Run AI voice agents on-premise or in your private cloud, with the language model, speech-to-text and text-to-speech hosted in-house, so call data stays on your infrastructure." canonical_url: "https://www.ringg.ai/private-ai-voice-agents" last_updated: "2026-10-23" --- Deployment guide # Private AI voice agents: on-premise and private-cloud deployment Ringg can run its voice agents on-premise or in your private cloud, with a small language model, Parrot speech-to-text and a text-to-speech model, all hosted in-house. Call audio, transcripts and conversation data stay on your infrastructure instead of going to outside model providers. [Security and compliance](https://www.ringg.ai/security)[Talk to sales](https://www.ringg.ai/book-a-demo) Published 23 Oct 2026 Last reviewed 23 Oct 2026 By Ringg AI Covers On-premise, private-cloud and Ringg cloud deployments Private deployments are an Enterprise option, available for an additional fee and scoped with your security team. ## In short * A private AI voice agent runs inside infrastructure you control, so call audio and conversation data are not sent to outside model providers. * Ringg deploys the whole stack on-premise or in your private cloud, with a small language model, Parrot speech-to-text and a text-to-speech model, all hosted in-house. * By default, in Ringg’s cloud, OpenAI and Gemini process conversational data and telephony providers carry call audio. Transfers outside India use safeguards such as standard contractual clauses. * You can connect your own telephony provider, such as Exotel, Twilio, Voice Link, Vobiz, Ozonetel, Plivo or Maqsam, or a SIP trunk. * Private deployments are part of the Enterprise plan, which includes forward-deployed engineering support, and are available for an additional fee. ## Ringg cloud, private cloud or on-premise What runs where in each deployment. | Detail | Ringg cloud (default) | Private cloud | On-premise | | --- | --- | --- | --- | | Where it runs | Ringg’s cloud. An in-region setup in India, the GCC, the US or Europe is an Enterprise option. | Your private cloud. In the UAE and the wider GCC, Ringg deploys on Azure. | Your own data center. | | Language model | OpenAI and Gemini models process conversational data. | A small language model hosted in your environment. | A small language model hosted in your environment. | | Speech-to-text | Parrot, Ringg’s own speech-to-text. | Parrot, hosted in your environment. | Parrot, hosted in your environment. | | Text-to-speech | Included in the per-minute price. | A text-to-speech model hosted in your environment. | A text-to-speech model hosted in your environment. | | Call data | Processed by Ringg and its sub-processors under data processing agreements. Deployments in the UAE, Saudi Arabia, the EU and the US follow the same process. | Call audio, transcripts and conversation data stay on your infrastructure. | Call audio, transcripts and conversation data stay on your infrastructure. | | Pricing | Pay as you go from $0.10 per connected minute (₹6 in India). | Enterprise plan, for an additional fee. | Enterprise plan, for an additional fee. | | Best for | Launching quickly, and most use cases. | Teams that need call data in their own cloud account or region. | Teams whose policy keeps call data in their own data center. | ## What runs on your infrastructure In a private deployment, every model the agent uses runs where you choose. ### Small language model Understands the caller and decides what to say and do, without sending the conversation to an outside model provider. ### Parrot speech-to-text Ringg’s own speech-to-text, built for Hindi, English and Hindi-English code-mixed speech, and for major Indic languages including Gujarati, Bengali, Marathi, Tamil, Telugu, Kannada, Malayalam and Urdu. [About Parrot](https://www.ringg.ai/models/speech-to-text) ### Text-to-speech Speaks the agent’s replies from a model hosted in your environment. ### Recordings and transcripts Call audio, transcripts and conversation data stay on your infrastructure. ### Your telephony Connect your provider, such as Exotel, Twilio, Voice Link, Vobiz, Ozonetel, Plivo or Maqsam, or a SIP trunk. ## Who chooses a private deployment * Banks, NBFCs and insurers whose security policy does not allow call data to reach third-party model providers. * Healthcare organizations handling protected health information. * Teams in the UAE, Saudi Arabia, the EU and the US with data residency requirements. * Enterprises that want the agent to run next to systems that are not exposed to the internet. * [Voice AI compliance in India](https://www.ringg.ai/voice-ai-compliance-india) * [AI voice agents for banking](https://www.ringg.ai/industries/banking) * [AI voice agents for healthcare](https://www.ringg.ai/industries/healthcare) ## How a private deployment works 1. Scope it: the calls you want to automate, expected volumes, languages, your data policy and where the deployment must run. 2. Choose private cloud or on-premise, and agree the environment with your security team. 3. Connect your telephony, CRM and the other systems the agent works with. 4. Test real conversations with your team before launch. 5. Go live, with Ringg’s forward-deployed engineers supporting the rollout. ## Security in every deployment Ringg AI is SOC 2 Type II audited and ISO 27001 certified. It supports HIPAA and GDPR workflows, and signs a BAA, DPA or Standard Contractual Clauses when your data needs one. [Read security and compliance](https://www.ringg.ai/security) ## Private AI voice agents: FAQs ### What is a private AI voice agent? An AI voice agent that runs inside infrastructure you control, on-premise or in your private cloud, so call audio and conversation data are not processed by outside model providers. ### Which parts of Ringg run in a private deployment? The whole stack. Ringg deploys on-premise or in your private cloud, with a small language model, Parrot speech-to-text and a text-to-speech model, all hosted in-house, and call audio, transcripts and conversation data stay on your infrastructure. ### How is a private deployment different from Ringg’s cloud? In Ringg’s cloud, OpenAI and Gemini process conversational data and telephony providers carry call audio, under data processing agreements, and transfers outside India use safeguards such as standard contractual clauses. In a private deployment, the language model, speech-to-text and text-to-speech run in your environment instead. ### Can a private AI voice agent use our own telephony? You can connect your own telephony provider, such as Exotel, Twilio, Voice Link, Vobiz, Ozonetel, Plivo or Maqsam, or a SIP trunk, and handle calls through the setup you already use. ### Where can Ringg deploy? Ringg deploys in India, the GCC, the US and Europe. In the UAE and the wider GCC, private-cloud and on-premise deployments run on Azure. Deployments in the UAE, Saudi Arabia, the EU and the US follow the same safeguards for data transfers. ### How much does a private AI voice agent cost? Private deployments are part of Ringg’s Enterprise plan and are available for an additional fee, quoted for your requirements. Usage in Ringg’s cloud is pay as you go per connected minute. ### Does a private deployment change HIPAA or GDPR terms? The same agreements are available as in Ringg’s cloud: a Business Associate Agreement (BAA) for protected health information, and a Data Processing Addendum (DPA) with Standard Contractual Clauses (SCCs) for personal data. Ringg is SOC 2 Type II audited and ISO 27001 certified. ## Need call data to stay on your infrastructure? Talk to Ringg about a private-cloud or on-premise deployment, or start in Ringg’s cloud today. [Try Ringg’s cloud](https://www.ringg.ai/login)[Talk to sales](https://www.ringg.ai/book-a-demo) Source: https://www.ringg.ai/private-ai-voice-agents