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Top 10 Voice AI Agents with Multilingual Support for Global Enterprises

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In 2025, enterprises across banking, healthcare, retail, logistics, government, and more are embracing voice AI agents to deliver seamless, multilingual, and compliant customer experiences.
Whether it's automating routine queries, authenticating users with voice biometrics, or supporting global operations with local languages—Voice AI is transforming how businesses interact.
This article explores the Top 10 Voice AI Agents with Multilingual Support for Global Enterprises, offering decision-makers a deep understanding of each solution’s value.

What Is Voice AI?

Voice AI agents are advanced conversational systems that combine speech recognition, natural language understanding, and text-to-speech to carry out human-like voice conversations. They can autonomously make outbound calls, authenticate users, schedule meetings, resolve common queries, and orchestrate multi-step workflows.

Why Does It Matter in 2025?

Enterprises face increasing demands to scale operations, reduce costs, and offer localized customer experiences. In 2025, global Voice AI adoption is accelerating, with the market expected to grow from ~$2.4 B in 2024 to nearly $47.5 B by 2034, at a CAGR of 35%.

Business Impact

Voice AI enables 24/7 intelligent engagement, multilingual communication, compliance assurance (HIPAA, PCI, GDPR), and consistent brand experience—all while slashing per-interaction costs by up to 75% .

Understanding Voice AI Agents

What Exactly Are They?

These are software agents capable of understanding spoken language, interpreting intent, and responding via lifelike digital voices. Often called IVR 2.0, they also engage in outbound dialogs, not just receive calls .

How Do They Function?

  1. Speech Recognition & NLU – Convert speech to text, extract meaning.
  1. Dialogue Management Engine – Map commands to actions across systems.
  1. Response Synthesis – Use TTS for coherent, human-like replies.
  1. Systems Integration – Connect to CRMs, ERPs, patient/telecom databases

Why They’re Important

  • Scale: Handle limitless calls simultaneously.
  • Localization: Communicate fluently across languages.
  • Compliance: Secure and auditable by design.

How to Evaluate Voice AI Solutions

What Criteria Should You Use?

  • Language Range: Ideally support 100+ languages and dialects.
  • Compliance: Ensure HIPAA (healthcare), PCI/DSS (payments), GDPR (EU).
  • Intelligence Level: Real-time, multimodal, emotion-aware AI.
  • Integration Ease: Works with telephony, CRM, chat, knowledge systems.
  • Deployment Speed: No-code pilots in days; full rollout in weeks.

Why These Criteria Matter

Good language coverage meets global customer needs. Compliance protects sensitive industries. Integration and speed ensure quick ROI and adoption.

Strategic Deployment: When & Where to Use Voice AI

Use Voice AI in these key scenarios:
  • Lead Qualification & Sales (B2B, Banking): Accelerates pipelines with consistent discovery calls.
  • IVR Replacement (Telecom, BFSI): Enhances CX, cuts wait times using automated billing or balance inquiries.
  • Appointment Systems (Healthcare): Reduces no-shows and administrative overhead.
  • Voice-Commerce & Support (Retail): Automates ordering, tracking, returns in native languages.
  • Citizens Services (Public Sector): Broadens access via multilingual automated help desks.

1. VoiceGenie.ai

Key Features & Benefits

  • Supports 100+ languages and regional dialects.
  • No-code builder and API-first architecture for rapid deployment.
  • Voice-biometric lead qualification and secure identity verification.

Use Case

  • Banking: Enables voice-driven customer authentication and CRM updates in multiple languages.

Enterprise Advantage

  • Ideal for BFSI: voice biometrics ensure secure transactions while maintaining compliance.

2. Ringg AI

Features & Benefits

  • No-code, real-time voice agent platform supporting 15+ Indian and global languages.
  • Full-duplex interactions via phone, web, and mobile. Built on low-latency Microsoft & Nvidia infrastructure.

Use Case

  • Logistics: Automates delivery confirmations in Hindi, Arabic, and Spanish.

Enterprise Advantage

  • Great for service industries expanding in emerging multilingual markets.

3. PolyAI

Features & Benefits

  • Voice-first design with advanced NLU and SLU. Supports 45+ languages and rich analytics.

Use Case

  • Telecom: Automates billing and plan inquiries globally.

Enterprise Advantage

  • Improves call center efficiency and first-call resolution.

4. Cognigy.AI

Features & Benefits

  • Supports multilingual voice and chat flows across 100+ languages.
  • Integrates with Genesys, Salesforce, Amazon Connect.

Use Case

  • Banking: Automates IVR for loan queries with voice biometrics and secure compliance.

Enterprise Advantage

  • Suited for large contact centers demanding enterprise-grade integrations.

5. Yellow.ai

Features & Benefits

  • Multichannel automation (voice, chat, email) with support for 135+ languages.
  • VoiceX AI, sentiment detection, HIPAA/GDPR/SOC2 compliance.

Use Case

  • Retail/e-commerce: Offers multilingual support for orders and query handling.

Enterprise Advantage

  • Enables global CX through voice ordering and omnichannel engagement.

6. Amelia by SoundHound AI

Features & Benefits

  • Cognitive voice AI with tone recognition, HIPAA compliance, automotive use cases .

Use Case

  • Healthcare: Manages appointment scheduling, insurance claims, and post-care coordination.

Enterprise Advantage

  • Health-compliant and empathetic voice interactions reduce clinician workload.

7. Spitch

Features & Benefits

  • Omnichannel voice automation with built-in voice biometrics and analytics.

Use Case

  • Banking: Authenticates customers through secure voiceprint across languages.

Enterprise Advantage

  • Perfect for regulated industries with secure, compliant, and scalable architecture.

8. Sarvam AI

Features & Benefits

  • Focused on India’s multilingual needs with Indic-language voice bots in 10+ languages.
  • Offers APIs and foundation models for voice integration.

Use Case

  • Public sector: Automates citizen support services in regional dialects.

Enterprise Advantage

  • Reduces onboarding cost and boosts inclusion in linguistically diverse regions.

9. Cognigy Variation: Kore.ai

Features & Benefits

  • Supports 100+ languages with omnichannel bots, IVR, and NLU capabilities.

Use Case

  • HR and IT: Automates onboarding, IT helpdesk, and internal service lines.

Enterprise Advantage

  • Cross-functional use across internal and external enterprise touchpoints.

10. VOCALLS

Features & Benefits

  • Combines voice, chat, and email bots with live-translation and low-code flows.

Use Case

  • Customer service: Manages inbound customer queries with multilingual coverage.

Enterprise Advantage

  • Great hybrid tool for businesses upgrading existing agents to AI assistants.

Conclusion

By 2025, Voice AI agents with multilingual support have become essential tools for global enterprises. They not only optimize customer interactions but also ensure compliance, scalability, and cultural relevance. Businesses that adopt these agents early gain a competitive edge in CX and operational efficiency.
Next steps:
  1. Define your top 2–3 high-volume use cases (e.g., support, booking, authentication).
  1. Select platforms that fit your language and integration requirements.
  1. Launch pilots regionally, track CSAT, call deflection, and cost metrics.
  1. Scale globally across languages and channels, refining your voice AI flows iteratively.
The “Top 10 Voice AI Agents with Multilingual Support for Global Enterprises” empower businesses to transform their global operations with voice-powered engagement in 2025 and beyond.

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