"We evaluated three vendors. Two failed our infosec review on data residency alone. Gnani was live in under a week: on-prem, compliant, handling Hinglish collections calls no one else could."
"Tamil, Telugu, Kannada, Hinglish mid-sentence: no content platform could handle it. Gnani's accuracy on real call audio was the deciding factor."
"At our peak volumes, 800ms on a voice call is a dead call. Gnani's sub-500ms P95 held at 10M calls/day. That's what moved us."
ElevenLabs was trained on clean studio English. Word error rates spike on Hinglish, Tanglish, and 8kHz telephony recordings. That is the audio your customers actually speak in, and it breaks the model.
Cloud-only with no on-prem or VPC deployment option. One automatic disqualifier for BFSI, insurance, healthcare, and any IndiaAI-aligned procurement process. There are no exceptions.
ElevenLabs was designed for voice cloning and media production. At 10M+ calls/day with sub-500ms P95 latency requirements, the underlying architecture was never built for this use case.
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Criteria
At enterprise scale, in production
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Recommended
Gnani.ai
Full-stack sovereign voice AI, India-built, in production at scale
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ElevenLabs
World-class TTS for content. Not built for Indian call centres
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|---|---|---|
| STT Word Error RateKathbath Noisy 8kHz | ✓17.5%Best in 8 of 9 languages | ✗19.1%Limited Indic coverage; studio audio focus |
| Daily Call CapacityProven production volume | ✓10M+ calls/day30K concurrent; 30 to 40x competitor scale | ✗Not ratedContent generation, not call-centre volume |
| End-to-End Latency P95At peak production load | ✓<500ms P95Full pipeline, benchmarked in production | ✗~600msTTS generation only; not end-to-end |
| On-Prem / Air-GappedFull data residency | ✓YesCloud / On-Prem / Hybrid / K8S | ✗NoCloud only; fails BFSI procurement |
| Native Code-SwitchingHinglish, Tanglish mid-sentence | ✓40+ languagesNative training; no model routing | ✗NoWestern focus; minimal Indic coverage |
| Compliance CertificationsFor regulated industries | ✓Full stackISO 27001, SOC2, HIPAA, PCI DSS, GDPR | ◑PartialSOC2 only |
| Telephony IntegrationAvaya, Cisco, Genesys, Twilio | ✓100+ nativeOut of the box, zero developer dependency | ✗NoneNot designed for enterprise telephony |
| Time to First Live CallContract to production | ✓Under 1 week100+ pre-built integrations | ✗N/ANo enterprise telephony deployment path |
| Native Voice BiometricsAuth + deepfake detection | ✓YesDeepfake + replay detection built in | ✗NoNot offered |
| IndiaAI MissionGovernment-backed sovereign AI | ✓SelectedAmong the first companies selected | ✗NoNot applicable |
Benchmarked on Kathbath Noisy 8kHz telephony audio. Data sourced from public benchmarks and product documentation, Q1 2026.
Send us a sample of your real recordings. We will run a live benchmark on your audio, in your languages, and show you exactly where the gap is.
