Caller Digital vs Retell AI

Retell AI supports multilingual agents through its underlying TTS/STT providers (ElevenLabs, Deepgram, OpenAI), which include Hindi and some Indian languages. In practice, accuracy depends on the providers you compose — most are trained on 16 kHz Western audio, and word error rates degrade 1.6–2.4× on 8 kHz Indian telephony calls with Hinglish code-switching. Caller Digital's models are trained specifically on Indian mobile-network audio across Hindi plus 13 regional languages (Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati, Punjabi and more), holding 92–96% Hindi accuracy on real 8 kHz calls.

No — Retell AI is built for the US regulatory environment (TCPA, STIR/SHAKEN). It has no native TRAI DND scrubbing, no DLT template registration, and no DPDP Act consent architecture. If you deploy Retell agents for Indian outbound calling, your team must build DND list checks, DLT header/template management and consent trails yourself — and own the regulatory risk. Caller Digital scrubs against the TRAI DND registry automatically before every campaign, manages DLT templates inside the platform, and links every call to a DPDP consent record.

Retell AI charges per minute in USD — roughly $0.07–$0.31/min depending on the voice, LLM and telephony you compose, billed whether or not the call achieves anything. At ₹6–26 per minute equivalent, a 3-minute Indian outbound call costs ₹18–78 regardless of outcome. Caller Digital prices per dispositioned outcome in INR — ₹8–25 per resolved contact, with unconnected attempts free. For high-volume Indian campaigns where 30–40% of dials don't connect, per-outcome pricing typically lands 40–60% cheaper than per-minute API billing.

If you have dedicated voice-AI engineers, want full control of the agent pipeline, and your calling is US/global — Retell AI is a strong developer platform with excellent latency and observability tooling. If your engineering team's roadmap doesn't include owning telephony integrations, Indian-language model evaluation, DLT registration and DND scrubbing infrastructure, Caller Digital delivers the finished workflow — your team consumes call outcomes via CRM sync or webhook instead of building the calling stack.

Retell AI supports SIP trunking and Twilio natively, so a technically-capable team can bridge Indian SIP providers. But there are no first-class integrations with Exotel, Knowlarity, Ozonetel or Tata Tele, and no India-local number provisioning workflow. Caller Digital is pre-integrated with Plivo, Exotel, Knowlarity, Ozonetel, Tata Tele and Twilio, with Indian caller-ID (140-series telemarketing numbering) handled as part of onboarding.

Retell AI processes and stores data on US infrastructure. For DPDP Act 2023 compliance most Indian enterprises can still transfer data abroad, but BFSI and insurance buyers frequently face RBI/IRDAI expectations of India-resident call recordings and transcripts. Caller Digital stores recordings, transcripts and consent trails in Indian data centers by default — which shortens security review cycles with Indian banks, NBFCs and insurers considerably.

Yes — and it's usually a simplification rather than a rebuild. Teams running Retell agents for Indian calling typically migrate one workflow at a time: Caller Digital's implementation team recreates the conversation flow as a managed use case, connects your CRM (Salesforce, Zoho, LeadSquared, HubSpot, Kylas), registers DLT templates, and runs a 2–3 week parallel pilot comparing cost per resolved contact and containment rate before cutover.