Voice & Audio Intelligence
Calls → compliance, sentiment, fraud signals.
19-language voice-to-text, deepfake and fraud call detection, emotion/tone analysis, conversational AI, call-centre QA. Deployed by law enforcement for fraud voice identification.
What's in the pillar.
- 19-language voice-to-text transcription→ Audit 100% of calls in your support languages, not the 2–3% your QA team can manually review.
- Fraud calls / voice detection→ Identify repeat fraudster patterns across millions of call records — measured in hours, not weeks.
- Emotion / tone detection→ Catch escalation risk before it lands in the complaints inbox or social media.
- Conversational AI for customer support→ Deflect 30–50% of L1 support volume; agents spend time where humans add value.
- Call centre voice / call audits & analytics→ Replace sample-based QA with 100% call coverage; compliance evidence on demand.
- Speaker identification & diarization→ Investigation-grade speaker matching across noisy, multi-party recordings.
- Noise removal & voice cloning→ Production-quality outputs from sub-optimal call audio, usable in regulated environments.
Where it pays off.
- Contact Centre QA & CX Optimization
- BFSI — Compliance, Risk & Fraud Monitoring
- Sales Performance & Revenue Intelligence
- Customer Retention & Churn Prediction
- Healthcare — Patient Experience & Compliance
- Aviation, Travel & Hospitality
- HR & Internal Support Analytics
- Legal & Dispute Intelligence
Proven starting points. Custom-fit per engagement.
These are not SaaS products. Each one is a production-proven voice & audio intelligence architecture we adapt to your data, workflow, and regulators — and deliver as a system your enterprise owns.
Combines voice intelligence + spatial/visual context + reasoning — far beyond a normal chatbot. Deployed for service & maintenance in industrial, utilities, and aviation.
Voice calls + speech-to-text ASR layer + LLM conversation intelligence. Sentiment and emotions analytics, intelligent voice audit, and BFSI compliance monitoring.
Fraudster identification across raw files, task files, vector lakes, and cluster lakes. Offline historical + real-time streams. Deployed with a national law-enforcement agency in India.
Voice-first interview screening, intent slot-filling, and automated outbound reminders — built for high-volume HR workflows.
Where this pillar shows up in production.
All five run on the same framework.
Unstructured documents → structured, auditable data.
Pixels → pattern, behavior, and object insight.
Historical + real-time data → forward decisions.
Lightweight, domain-specific, fully private.
Not ready for AI yet? Want to chat about possibilities?
No pitch, no pressure. Just a conversation about where AI could fit, or where it can wait. Bring your skepticism — we'll bring ours.
Scope a Voice POC.
Bring your use case and the data. A CoE architect will draft the voice & audio intelligence pipeline for your workflow in a 30-minute call.