Not long ago, the thought of AI assistants replacing the need to interact with human agents felt unrealistic. But here we are in 2025, where every business is hopping on the hands-free experience.
AI voice agents are evolving rapidly, and interactions with voice bots have never been more human-like.
The top AI voice software development companies are leveraging machine learning, natural language processing, and generative AI to develop next-gen voice bots and apps. That’s the main reason why the global AI voice generator software market size is projected to reach USD 5.68 billion by 2033.
Which brings us to the primary focus of the AI voice development process: what are the top companies to choose from? In this blog, we’ll examine and compare the top AI voice software development companies India.
Let’s dive in.
What is AI Voice Software?
AI voice software is a software solution designed to comprehend human speech.
These voice-driven agents are reshaping industries and routine tasks such as customer service, appointment scheduling, and slot booking, introducing efficient ways to communicate.
These AI voice softwares eliminate routine and repetitive activities to focus on value-driven tasks.
AI voice software helps enterprises in two significant ways:
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Increasing efficiency with scalability to meet growing demand
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Reducing operational costs by handling repetitive tasks
What are the Best Voice AI Development Companies in India?
The key factors that make an AI voice software development company stand out in 2025 are technical expertise, industry-specific solutions, a client-centric approach, recognition, and credibility.
Keeping these factors in mind, we have gathered a list of the 10 best AI Voice Software Development Companies India. Let’s dive in:
1. Yellow AI
Yellow AI leads the voice assistant development companies by developing AI chatbots that personalise customer support and elevate employee interactions.
Pros
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Multimodal integration
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Solutions for diverse sectors
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Focus on Agentic AI
Industry Use Cases
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Travel and Hospitality: For handling travel-related inquiries due to a substitute agent shortage
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Fintech: Resolve finance-related queries without human intervention
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Logistics: Automating the delivery process and operations
2. Haptik AI
Haptik AI has dedicated voice AI agents designed for human-like conversations. By automating customer calls across mobile apps and the web, they have expertise in conversational AI development India.
Pros
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Easy to deploy enterprise AI solutions
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Multilingual support
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Prebuilt conversational workflows
Industry Use Cases
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Retail: Voicebots for omnichannel messaging
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Travel: For itinerary and flight bookings
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Fintech: Onboarding customers, creating accounts, initiating purchases
3. Uniphore
Uniphore builds enterprise-level AI solutions that combine the power of conversational AI, voice analytics, and agent assistance.
Pros
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Industry‑ready products like virtual assistants
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Deep multilingual speech recognition & voice biometrics
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Large deployments in sectors like BFSI, Telecom, and contact centres
Industry Use Cases
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Finance / Banking: authentication, voice verification, call automation
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Healthcare & Telecom: customer service, reducing friction in agents
4. Infutrix
Infutrix is among the top voice tech companies with hands-on experience in delivering AI-powered voice assistants. Our voice-enabled app developers drive tangible results, helping businesses automate conversations.
Pros
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Proven ability to rapidly design, develop, and deploy AI solutions
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Specialized in building intelligent voice bots and multimodal virtual assistants tailored for dynamic customer interactions.
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Customized solutions aligned with the needs of diverse industries
Industry Use Cases
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Hospitality: Automate guest experiences with voice-activated booking and personalized service
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Healthcare: Patient interactions through voice-enabled appointment scheduling and medical information access.
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Fintech: Assisting customers with voice-driven banking, account management, and fraud detection.
5. Simform
Simform consistently ranks among the top speech recognition software companies for businesses seeking custom voice AI solutions.
Pros
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Specializes in building domain-specific voice AI apps with multilingual fluency and custom voices
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Real-time integration with backend systems like CRMs, ERPs, and knowledge bases
Industry Use Cases
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Healthcare: Custom-built AI system for healthcare providers that includes capabilities such as scanning biomarkers, facial analysis, and blood volume measurement.
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Customer Service: Multilingual voice AI companies like Simform integrate CRMs and enterprise knowledge base systems to enable natural, real-time, and context-aware customer interactions.
6. Verloop.io
Verloop.io is known for its human-like conversational voice AI technology that enhances customer experience across industries.
Pros
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Offers a plug-and-play voice AI platform that integrates with existing telephony systems
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Real-time voice analytics dashboard and downloadable reports
Industry Use Cases
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Banking & Financial Services: It supports use cases like suspicious transaction alerts, proactive notifications, and secure identity verification
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E-commerce & Retail: The AI can manage order status inquiries, product upsell and cross-sell conversations, and customer feedback collection.
7. Sarvam AI
Sarvam AI stands among the top AI speech to text service providers that offer large language models focused on Indian languages to power real-time multilingual AI voice interactions.
Pros
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Building multilingual LLMs tailored to Indian languages to support Indic languages
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Focus on speech translation, speech-to-text, and conversational AI
Industry Use Cases
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Agentic voice agents in governance, education & healthcare
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Localised customer support through multilingual abilities
8. Observe AI
Observe AI unifies voice AI and conversational intelligence to enhance agent performance and automate support in customer support centres.
Pros
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Offers a unified Voice AI / Conversational Intelligence platform for contact centres
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Real‑time sentiment analysis and on-time support for human agents
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Has raised significant funding, acquired Dubdub.ai to enhance its voice cloning / TTS / dubbing capabilities
Industry Use Cases
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Automating common queries, reducing wait times, and improving the quality of human‑agent interactions
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Quality assurance involves analyzing all conversations, coaching agents, and deriving insights
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Voice agents that can take over FAQ-type paths and escalate more complex cases to humans with context
9. Gnani AI
Gnani AI enables large-scale voice AI interactions with multilingual, domain-specific models and agentic automation.
Pros
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Efficiency in managing omnichannel conversations
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Supports 40+ languages, including many Indian languages
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Can handle tens of millions of voice interactions per day, especially in the BFSI sector
Industry Use Cases
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Customer support automation, collection automation, secure transactions/voice authentication, etc.
10. Augnito
Augnito offers clinical-grade and AI voice bot development that empowers healthcare professionals with real-time, highly accurate medical transcription solutions.
Pros
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Specialized in real‑time medical transcription & documentation
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High accuracy in grasping diverse Indian accents
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Strong understanding of domain needs and vocabulary
Industry Use Cases
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Hospitals / Clinics: doctor‑patient consultation, EMR note generation
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Radiology / Diagnostics: transcribing reports, integrating with PACS, etc
Launching your own AI app is easier than you think. Check out our blog on how to launch your own AI voice app for a step-by-step guide.
Here’s What We Have Covered So Far
A quick overview of the top AI voice software development companies in India, their industry use cases, and standout features.
How to Choose the Right AI Voice Development Partner?
The right AI voice development partner is proactive. They understand your vision, adapt to your needs, and deliver tangible results.
Here are the key factors that influence the process of choosing voice AI development companies:
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Industry Expertise
Select an AI voice development company with strong expertise in NLP and machine learning, as well as notable experience in building voice solutions.
Your development partner needs to understand your business challenges and needs.
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Custom Build Solutions
AI voice agent solutions should not follow a one-size-fits-all approach. Every app requires tailored features that match its functionality.
Your AI voice agent should seamlessly blend into the existing workflows and operations without disrupting your existing systems.
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Data Security Standards
No matter who the end user of your AI voice app is, data security is the core of any digital solution. AI models run on sensitive data, be it for external users or internal employees.
Your AI voice app development partner should adhere to industry-specific regulations to avoid any future compliance risks.
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Pricing Models
Make sure the pitched price corresponds with the offered technology stack. Cost reduction is the primary reason to develop an AI voice solution. In the long run, you need solutions built on frameworks that can handle expansion.
Conclusion
Partnering with an AI voice software development company in 2025 is a strategic move that businesses are using to reduce operational inefficiencies, shorten time-to-market, and achieve measurable results.
Take Flipkart, for example, by integrating AI-driven solutions in logistics and customer support, they’ve improved delivery accuracy, automated repetitive tasks, and enhanced user experience.
In the same way, companies across industries can unlock similar benefits by aligning with capable AI Voice Solution Providers in India like Infutrix, known for building scalable and domain-specific AI solutions. Infutrix helps organizations move from experimentation to real-world impact.
Partner with Infutrix for custom voice AI development. We'd love to connect!
FAQs(Frequently Asked Questions)
1. What is an AI Voice Agent?
AI voice agents are digital assistants that use artificial intelligence(speech recognition and natural language processing) to conduct human-like conversations.
These AI agents are capable of scheduling, payment processing, and providing on-time support, especially in sectors like healthcare, banking, and hospitality. Know more.
2. What are the Best Tools For Designing Voice Bots?
Tools like Dialog Flow and Voice Flow are the top tools to give that conversational flow to your voice bot. For prototyping, tools like Botmock and Adobe XD are prominent. Development platforms include Rasa and the Microsoft Bot Framework.
Additionally, you’ll require AI capabilities like speech-to-text, text-to-speech, and speech recognition.
3. How AI Voice Agents Enable Human-Like Interactions?
AI voice agents integrate modalities like speech, vision, language, text, and even gestures to understand human speech.
Additionally, AI voice agents use technologies like Natural Language Processing (NLP) and Machine Learning to interpret and identify the intent of user input to manage conversations and generate natural-sounding responses.
