# Voice AI Enables Better Conversions And Retention > Source: > Published: 2026-05-28 09:34:22.229518+00:00 # Voice AI Enables Better Conversions And Retention According to Inc42, voice AI is emerging as a core infrastructure layer for consumer-facing businesses and is helping brands reduce friction across customer journeys. Inc42 reports that at its AI Summit 2026, the India head of **ElevenLabs**, Karthik Rajaram, discussed how the company supports adoption of voice AI in sectors such as ecommerce and healthcare. Inc42 also reports industry participants saying voice interfaces make it easier to diagnose not only where customers drop off but why they disengage, and that they reduce cognitive load by removing keyword-based searches and complex navigation. Inc42's funding roundup lists recent raises for **abCoffee** (**$12.0 Mn+**), **Scapia** (**$134.8 Mn+**), and **Mythik** (**$20.0 Mn+**). ### What happened According to Inc42, **voice AI** is increasingly emerging as a core infrastructure layer for consumer-facing businesses, helping brands reduce friction across customer journeys. Inc42 reports that at its AI Summit 2026, the India head of **ElevenLabs**, Karthik Rajaram, described how the company supports adoption of voice AI in sectors like ecommerce and healthcare. Inc42 reports industry participants saying voice interfaces help businesses identify not just where customers drop off but also why they disengage. Inc42's funding roundup lists recent rounds for **abCoffee** (**$12.0 Mn+**, Pre-Series B), **Scapia** (**$134.8 Mn+**, Undisclosed stage), and **Mythik** (**$20.0 Mn+**, Undisclosed stage). ### Editorial analysis - technical context For product and CX teams, **voice interfaces** reduce lexical and navigational friction by letting users express intent conversationally rather than via keyword-driven UIs; industry reporting ties that reduction to improved engagement metrics. Implementing usable voice features typically requires integrating accurate ASR, robust NLU intent classification, and latency-optimized audio pipelines, alongside analytics that map utterances to conversion funnels. ### Industry context Observed patterns in comparable deployments show voice features yield the largest gains where tasks are naturally verbal (search, bookings, troubleshooting) and where users face complex menus. Privacy, consent for voice capture, and protection against voice-cloning misuse are recurring operational and compliance considerations in public reporting on voice AI. ### For practitioners When evaluating voice-first features, teams should watch ASR error profiles across accents and noise conditions, instrument voice-to-intent telemetry, and measure downstream KPIs such as conversion rate, time-to-complete, and repeat usage. Industry coverage highlights vendor differentiation in voice naturalness and customization; teams should benchmark both accuracy and perceived trust. ### What to watch Observers should track enterprise adoption signals (partnership announcements, case studies in ecommerce and healthcare), vendor product roadmaps for multimodal dialogs, and regulatory guidance on biometric voice data. Inc42 coverage of Summit remarks and funding rounds provides an early read on commercial momentum. ## Scoring Rationale The story reports adoption momentum and vendor commentary rather than a technical breakthrough. It matters to product, CX, and ML ops teams evaluating voice features, but is not a frontier research or platform event. Practice with real Retail & eCommerce data 90 SQL & Python problems · 15 industry datasets 250 free problems · No credit card [See all Retail & eCommerce problems](/problems/datasets/retail)