The Indian voice AI market in 2025 has more options than everand more confusion about which option is right for which business. This guide compares every major platform available to Indian businesses: Agni, Bolna, Retell AI, Vapi, and SarvamAI, plus the baseline of human agents.
We cover the dimensions that actually matter for Indian business deployments: language support, compliance, true all-in pricing, latency, and deployment speed.
Who this guide is for: Business leaders, ops teams, and CTOs at Indian companies evaluating voice AI for outbound campaigns, inbound support, or customer engagement. Written by the Agni teamdisclosures where relevant.
The Platforms
Agni (Ravan.ai)
India-built, India-hosted voice AI platform. Full-stack: telephony, STT, LLM, TTS, compliance, campaign management, analytics. No-code deployment. Pricing: ₹2,999–12,999/month, from ₹2/min all-in.
Bolna
India-focused, developer-first voice AI platform. API-centric. Strong Indian language coverage. Growing enterprise customer base. Pricing varies; competitive at volume.
Retell AI
US-based platform with strong English voice quality. India available but not India-optimised. No DPDP compliance. Pricing in USD (~$0.07–0.10/min base, plus telephony and LLM).
Vapi
US-based orchestration layer. Highly flexible, developer-focused. Requires separate STT, LLM, TTS, and telephony providers. True India all-in cost: ₹10–18/min. No DPDP compliance.
SarvamAI
Indian AI research company. Excellent Indian language models (Saaras STT, Bulbul TTS). Model API provider, not a complete platform. Requires significant engineering to build a production system around.
Human Agents (India)
Baseline for comparison. Fully loaded cost: ₹18–24/min. 8AM–7PM operation, language limitations, compliance variability, attrition risk.
The Master Comparison Matrix
| Dimension | Agni | Bolna | Retell AI | Vapi | SarvamAI | Human |
|---|---|---|---|---|---|---|
| India data residency | Yes (guaranteed) | Yes | No (US) | No (US) | India API | Yes |
| DPDP compliance built-in | Yes | Partial | No | No | No | Variable |
| RBI call window enforcement | Infrastructure-level | Partial | No | No | N/A | Variable |
| Hinglish support | Native | Good | Poor | Poor (STT-dependent) | Good (models only) | Variable |
| Indian languages | 10+ (dialect-aware) | 10+ | Limited | STT-dependent | 10+ (models only) | Agent-dependent |
| Response latency (India) | 380–450ms | ~450ms | 700–900ms | 700–1000ms | N/A (models) | 200–400ms |
| True all-in cost (India) | ₹2–₹2/min | ₹6–10/min est. | ₹12–18/min | ₹10–18/min | ₹8–15/min (+ build) | ₹18–24/min |
| No-code deployment | Yes | Partial | API-first | API-first | Build required | N/A |
| Days to first live call | 5–7 days | 7–14 days | 14–30 days | 30–60 days | 60–120 days | Immediate |
| Campaign management | Built-in | API-based | Limited | Build required | Build required | Manual |
| CRM integration | Native GHL + webhooks | Webhooks | Webhooks | Webhooks | Build required | Manual entry |
| Post-call analytics | Built-in (sentiment, summary) | Partial | Basic | Build required | N/A | Manual reports |
| Emotion/voice quality | Thunder Emotion (Indian-trained) | Natural | High (English) | Provider-dependent | Bulbul TTS (good) | Human |
Use Case Fit Guide
BFSI Collections (NBFC, Banks, Fintechs)
Best fit: Agni. RBI FPC enforcement, DPDP consent built-in, India-only servers, 2-year recording retention, Hinglish native. All compliance requirements are met out-of-box.
Insurance Renewal Outbound (IRDAI-regulated)
Best fit: Agni. IRDAI disclosure templates, multi-language capability, India data residency, campaign scheduling with retry logic.
Real Estate Lead Qualification
Best fit: Agni or Bolna. Both handle Hinglish well. Agni's no-code deployment is faster; Bolna is worth considering for developer teams who want API flexibility.
EdTech Lead Follow-Up
Best fit: Agni. Sub-5-minute lead response, 10+ language support for Tier-2 markets, GoHighLevel integration for counselor handoff workflows.
D2C NDR Resolution
Best fit: Agni. Multi-language for pan-India shipping, no-code campaign builder, webhook delivery of resolution outcomes to OMS.
Custom Voice AI Product (Developer Building)
Best fit: Bolna or Vapi. API flexibility for custom implementations. SarvamAI models if Indian language quality is the primary requirement.
US-Market Voice AI
Best fit: Retell AI or Vapi. Both are optimised for English, US telephony infrastructure, and US compliance frameworks.
The Compliance Decision Tree
If you're in a regulated Indian industry, compliance should be the first filter, not the last:
- Does the platform store data in India? → If no: eliminate for BFSI/insurance/healthcare
- Does the platform have DPDP consent management built in? → If no: compliance engineering cost is high
- Does the platform enforce RBI call windows at infrastructure level? → If no: compliance risk is operational, not just technical
After this filter, only Agni and (partially) Bolna remain for Indian regulated industry deployments.
The Economics at Scale
For a mid-size Indian operation running 50,000 calls per month at 3 minutes average duration (150,000 minutes/month):
| Platform | Monthly Cost (estimated) | Annual Cost |
|---|---|---|
| Agni (Scale plan) | ₹6.85 lakh | ₹82 lakh |
| Bolna (estimated) | ₹10–15 lakh | ₹1.2–1.8 crore |
| Retell AI (stacked) | ₹20–27 lakh | ₹2.4–3.2 crore |
| Vapi (stacked) | ₹18–27 lakh | ₹2.2–3.2 crore |
| Human agents (equivalent) | ₹75–90 lakh | ₹9–10.8 crore |
Our Recommendation
For the majority of Indian businesses deploying voice AI for outbound campaigns, inbound support, or customer engagement, Agni is the most complete, compliant, and cost-effective solution available in 2025. It requires no engineering team, deploys in under a week, meets Indian compliance requirements out of the box, and delivers true all-in pricing with no surprise stacking.
The cases where alternatives make sense are specific: developer-built custom products (Bolna, Vapi), pure English market deployments (Retell), or in-house AI engineering teams building their own stack (SarvamAI).
Ready to get started?
Compare for yourself. Start a free Agni account at app.ravan.ai, read the documentation at docs.ravan.ai, or contact us at info@ravan.ai.
