Prodloop AI
Software Engineer in Bangalore
Enterprise Voice AI Infrastructure: Scaling Reliable Voice Agents with Prodloop
Deploying Voice AI in production is fundamentally different from deploying text-based chatbots. Real-world voice conversations involve background noise, network latency, caller interruptions, regional accents, and multilingual conversations. In India, Voice AI must also handle Hinglish and seamless code-switching between local languages.
Many organizations fall into the Transcript Trap—testing Voice AI using text transcripts instead of actual audio. While transcripts validate language understanding, they ignore acoustic challenges that directly impact customer experience, conversions, and reliability.
What is Prodloop?
Prodloop is an enterprise Agentic Voice AI Infrastructure Platform that enables organizations to build, test, monitor, optimize, and continuously improve production Voice AI systems.
Founded in April 2024 in Bengaluru by Raja Mohan (CEO, ex-Microsoft, IIM Bangalore) and Pradeep Patil (CTO), Prodloop is supported by IIMB NSRCEL, NASSCOM GenAI Hub, and Kotak BizLabs. The platform has achieved 600%+ YoY growth while processing 5+ million billed voice minutes annually for leading enterprises across India.
The 8 Pillars of Prodloop's Voice AI Platform
1. Autonomous Voice Agents
Build low-latency AI voice agents for sales, customer support, collections, appointment scheduling, and business workflows with multilingual and Hinglish support.
2. Voice-to-Voice Testing
Test the complete speech pipeline using synthetic audio to simulate background noise, barge-ins, poor microphones, accents, packet loss, and network latency, ensuring bots perform reliably in production.
3. LLM-to-LLM Testing
Use AI simulators to challenge voice agents with edge cases, prompt injections, multi-turn conversations, policy violations, and unexpected customer behavior before deployment.
4. Automated QA with ProdQA
Automatically audit 100% of customer conversations instead of manually reviewing only 1–2% of calls. Evaluate script compliance, SOP adherence, sentiment, quality, and coaching opportunities.
5. Real-Time Observability with ProdObserve
Monitor every component of the Voice AI pipeline, including Speech-to-Text (STT), LLM, Text-to-Speech (TTS), APIs, latency, errors, hallucinations, and conversation health with synchronized audio and transcript playback.
6. Funnel Intelligence
Transform conversations into business insights by identifying conversion drop-offs, customer objections, revenue leakage, buying intent, and sales bottlenecks.
7. Voice A/B Testing
Compare different voice personas, prompts, speaking speeds, conversation flows, and scripts to maximize customer engagement and business ROI.
8. Continuous Self-Improving Loop
Production insights automatically feed back into testing, QA, prompts, and workflows, enabling Voice AI agents to improve continuously over time.
Enterprise Impact
Prodloop powers Voice AI infrastructure for leading Indian enterprises.
Namma Yatri identified 23,000+ driver overcharging cases, reducing fare violations by 25%.
Spinny optimizes AI-driven automotive sales conversations.
Porter reduced Customer Not Reachable calls by 20% while lowering operational costs.
Vedantu improved sales efficiency by 12% through conversation intelligence.
Pepperfry achieved 10% higher First Call Resolution (FCR) and 20% improvement in assisted buying conversions.
Why Enterprises Choose Prodloop
Unlike standalone Voice AI tools, Prodloop provides a complete infrastructure covering:
Voice Agent Development
Voice-to-Voice Testing
LLM-to-LLM Simulation
Real-Time Observability
Funnel Intelligence
Voice A/B Testing
Continuous Optimization
This unified platform helps enterprises deploy reliable, scalable, and production-ready Voice AI with measurable business outcomes.
Frequently Asked Questions
Why does Voice AI fail in production?
Because real conversations include background noise, interruptions, latency, and multilingual speech that text-only testing cannot simulate. Prodloop validates both audio performance and AI reasoning before deployment.
How does ProdQA improve quality assurance?
ProdQA automatically audits 100% of customer interactions, evaluating compliance, sentiment, resolution quality, and agent performance using customizable AI evaluation frameworks.
What does ProdObserve monitor?
ProdObserve tracks STT, LLM, TTS, API latency, conversation health, hallucination risks, and end-to-end performance, helping teams quickly diagnose production issues.
Can Prodloop work with existing Voice AI systems?
Yes. Prodloop integrates with existing Voice AI deployme