Production Voice AI With Deterministic Dialog Management
Enterprise-grade voice AI with sub-300ms edge inference, robust voice activity detection, and deterministic dialog management. Production-reliable conversational systems beyond API wrappers.
Wendy's drive-thru AI makes customers repeat orders 3+ times and is 'unusable' for 80 million people who stutter. They're expanding to 600 locations anyway. 🍔
McDonald's fired IBM after 3 years. Their AI plateaued at 80% accuracy — adding 260 nuggets to one order and garnishing ice cream with bacon. 🤖
Frequently Asked Questions
Why do enterprise voice AI systems fail in production?
Cloud voice APIs plateau at 80% accuracy because they optimize for clean audio in demos, not real-world conditions. McDonald's fired IBM after 3 years when their voice AI added 260 nuggets to one order. Production requires edge inference, noise robustness, and deterministic dialog management.
What is deterministic dialog management?
Deterministic dialog management enforces conversation flow through structured state machines rather than probabilistic language model generation. This ensures business rules are followed, context is maintained across turns, and the system never hallucinates responses.
How does Veriprajna make voice AI accessible?
Veriprajna builds accessibility-first voice AI that handles stuttering, accented speech, and diverse speech patterns. Current systems are 'unusable' for 80 million people who stutter. Robust voice activity detection and adaptive recognition ensure no user is excluded.
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Veriprajna Deep Tech Consultancy specializes in building safety-critical AI systems for healthcare, finance, and regulatory domains. Our architectures are validated against established protocols with comprehensive compliance documentation.