Stop Guessing. Choose the Right Voice AI
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Agentic AI for Smarter CX
Head-to-Head Comparison
Why enterprises choose Gnani.ai over the alternatives
Benchmarked on Kathbath Noisy 8kHz telephony audio, the same conditions your agents run in production.
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gnani.ai
Full-Stack Sovereign Voice AI
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Sarvam AI
Indic model lab
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ElevenLabs
Voice synthesis platform
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Rinng AI
Voice AI orchestrator
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|---|---|---|---|---|
| Accuracy | ||||
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STT Word Error Rate
Kathbath Noisy 8kHz, avg across 8 languages
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17.5% best in 8 of 9 languages Best in class | 19.9% Sarvam 3.0 avg | 19.1% limited Indic language coverage | No proprietary STT benchmark |
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Proprietary STT + TTS + LLM
Owns the full model stack
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Yes Full proprietary stack |
Yes STT + TTS + LLM, Indic-focused |
Partial TTS strong, STT limited Indic |
No Wraps external models |
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Telephony Audio Training
Real 8kHz call recordings, not studio audio
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14M+ hours of telephonic audio | Not disclosed |
Studio-quality focus, not telephony-native |
No proprietary dataset |
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Native Code-Switching
Hinglish, Tanglish mid-sentence, no routing
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Yes 40+ languages natively |
Partial Single-language models |
No Western language focus |
Partial Dependent on upstream |
| Scale | ||||
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Daily Call Capacity
Proven production volume
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10M+ calls/day, 30K concurrent 30-40x competitor scale | Early-stage, not enterprise-grade |
Content generation scale, not call-center volume |
Limited by upstream API rate limits |
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End-to-End Latency P95
At peak production load
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<500ms P95, full pipeline | 500ms+ Not publicly benchmarked | ~600ms TTS generation only | 800ms to 2s, API chaining overhead |
| Deployment | ||||
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On-Prem / Air-Gapped
Full data residency inside your infra
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Yes Cloud / On-Prem / Hybrid / K8S |
Partial On-prem available, limited scope |
No Cloud only |
No Cloud only |
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Time to First Live Call
Contract to production
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Under 1 week 100+ native integrations | 4 to 8 weeks |
Not designed for enterprise telephony |
2 to 6 weeks |
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Telephony Stack Integration
Avaya, Cisco, Genesys, Twilio native
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Yes 100+ integrations out of box |
No | No | Partial Limited connectors |
| Enterprise Readiness | ||||
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Native Voice Biometrics
Built-in auth + anti-spoofing
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Yes Deepfake + replay detection |
No | No | No |
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Compliance Certifications
For regulated industries
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Yes ISO 27001, SOC2, HIPAA, PCI DSS, GDPR |
Partial Limited disclosures |
Partial SOC2 only |
Partial |
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Sovereign AI Selection
Government-backed foundational AI programme
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Yes IndiaAI Mission, 1 of 4 selected |
Yes IndiaAI Mission |
No | No |
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Proven Enterprise Deployments
Named clients at production scale
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200+ HDFC, Airtel, Tata, OYO and more | Early stage, limited enterprise logos |
Content and media use cases, not enterprise CX |
Limited public case studies |
Data sourced from public benchmarks, product documentation, and independent evaluations as of Q1 2026. Competitor data reflects best available public information.
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Buyer's Guide
How to Choose the Right Voice AI Platform
Most evaluations fail because teams optimize for demos, not deployment. Here is what actually separates platforms at enterprise scale.
01 — Start here
Does the vendor own their model stack, or just resell it?
Most voice AI vendors are wrappers around Google, Azure, or AWS speech APIs. That means you inherit their accuracy ceiling, their latency, their pricing changes, and their data terms. A proprietary stack built on real telephonic audio in your target languages is the only way to get accuracy that improves with your data, latency you can actually negotiate, and deployment options that fit your compliance posture.
Ask for a benchmark on 8kHz telephony audio02
Multilingual isn't a checkbox. It's an architecture decision.
Supporting 10 languages via separate models is very different from natively handling mid-sentence code-switching like Hinglish or Tanglish. Ask whether the platform was trained on code-mixed utterances, or whether it just routes between language models.
Test with real agent call recordings03
Latency at scale is not the same as latency in a demo.
A 300ms response time with 10 concurrent calls means nothing at 10,000. Ask for P95 latency numbers at peak load, not average latency on a controlled test.
P95 under 500ms end-to-end is the bar04
On-prem and air-gapped deployment should be a standard option, not a premium add-on.
For BFSI, government, and regulated industries, data residency is non-negotiable. If a vendor can't deploy inside your VPC or on your infrastructure within a week, that's an architectural constraint, not a timeline issue.
Verify ISO 27001, SOC2, and DPDPA alignment05
Integration depth determines how fast you go live.
Native connectors to your existing telephony stack (Avaya, Cisco, Genesys) and CRM (Salesforce, Zoho, ServiceNow) cut deployment time from months to days. Ask for a live integration walkthrough, not a slide listing logos.
Target under 1 week to first live callPlug and Play Integrations
From telephony to CRM, we integrate it all. One-click setup. Zero developer dependency.
