Insights from the Indian Voice AI frontier
Research, case studies, and engineering deep-dives from the Verbalyze team.
Test Post: Verbalyze on Edge Deployments
A quick test post uploaded via the API endpoint.
How we achieved 3.2% WER on Hindi ASR
A deep dive into our training methodology — 50,000 hours of native Indian audio, data augmentation for dialects, and CTC-based fine-tuning.
Introducing Voice Agents 2.0 with sub-600ms E2E latency
How we rebuilt the entire voice pipeline — from WebSocket streaming to CRM webhook orchestration — to hit 600ms end-to-end.
How Credgenic saved ₹2.4Cr/year with Verbalyze ASR
A full breakdown of the Credgenic BFSI deployment: 10K daily EMI collection calls, 47% AHT reduction, and RBI compliance.
Code-switching in Indian languages: the unsolved NLP problem
Hindi-English, Tanglish, Hinglish — why generic models fail and how we trained on 10,000 hours of natural code-switched audio.
Deploying Indic LLMs on-premise: an infra guide
GPU selection, INT4 quantization, ONNX runtime optimization, and serving Llama 3 Indic at 200ms inference on a 2×H100 setup.
DPDP Act 2023: What every BPO needs to know about voice AI
A legal + technical guide to DPDP compliance for automated voice calls — consent management, PII redaction, and audit trails.