The Indian voice AI market in 2025 has more options than ever — and 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 team — disclosures 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 + ₹8–₹9.5/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) | ₹8–₹9.5/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.
