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, covering 50,000 hours of native Indian audio, data augmentation for dialects, and CTC-based fine-tuning.
How we rebuilt the entire voice pipeline (from WebSocket streaming to CRM webhook orchestration) to hit 600ms end-to-end.
How a Leading BPO saved ₹2.4Cr/year with Verbalyze ASR
A full breakdown of a BFSI BPO 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 and technical guide to DPDP compliance for automated voice calls, including consent management, PII redaction, and audit trails.