Top 12 AI Voice Agent Companies In India To Automate Phone Calls in 2026

India’s conversational AI market is scaling rapidly from $455.4 million in 2024 to a projected $1,846 million by 2030.

Enterprises aren’t experimenting with voice AI anymore. They’re running real operations on it, handling millions of customer calls monthly without a human ever picking up the phone.

So what changed?

Voice AI stopped sounding like a robot stuck in the 2000s. Latency dropped significantly, making conversations feel instant and real.

And while developer-heavy tools remain the standard, no-code platforms have also emerged to make voice automation accessible to operations teams and other non-technical roles.

But not every platform actually delivers enterprise-grade reliability. Some Indian voice companies are good at demos but struggle at scale. Others automate calls, but lose the human touch that customers expect.

That’s why this list matters.

In this article, we compare the 12 best voice AI companies in India for 2026. This isn't a list we compiled from vendor websites or marketing claims. We evaluated each platform individually, testing its capabilities, user experience, deployment process, integrations, scalability, and overall performance before deciding where it belongs.

1.Ringg AI

Source: Ringg AI
Ringg AI delivers AI voice agents for businesses that want end-to-end automation of inbound and outbound call operations. It is one of the best AI voice agents companies in India that sets itself apart by delivering performance, simplicity, and results.

This platform brings telephony, AI conversations, workflows, and analytics into one platform, so that your teams can launch and scale without stitching separate tools together.

In addition to this, it offers one of the lowest-latency speech systems, multilingual support, and enterprise-grade reliability, making it the go-to platform for businesses handling millions of voice interactions monthly.

What are the key features of Ringg AI?

• Sub-400ms latency: Ringg AI delivers near-instant responses with its industry-leading under 400ms latency. Thus making conversations feel instant, fluid, and natural without robotic delays during live customer interactions.
• Real-time analytics dashboard: The platform gives live visibility into call volumes, customer drop-offs, script performance, outcomes, and agent handovers, helping you optimize workflows using actual conversation data.
• No-code workflow builder: It enables your operations teams to build and update call flows themselves without relying on developers or raising repeated IT support tickets.
• Native CRM integration: Ringg AI syncs directly with CRM platforms so call outcomes and customer data update automatically without manual data entry.
• Native Indian languages with global multilingual support: The platform supports 20+ languages, including multiple Indian regional and foreign languages. This lets agents switch naturally between languages the way real customers actually speak.

How much does Ringg AI cost?

Ringg AI pricing is transparent and simple with two tiers:keeps its pricing transparent and simple with two pricing tiers:

1. Flexible Usage Plan: It’s built for smaller teams or lower call volumes, priced at $0.10 per connected minute. Some of its offerings include free analytics, up to 50 concurrent calls, and a limit of 100 calls per bulk campaign.

2. Enterprise Plan: This tier drops the per-minute rate to $0.06 for businesses running over 100,000 call minutes a month. You get higher concurrency (up to 100 simultaneous calls), a 10,000-call bulk campaign limit, priority support, and custom integrations.

Who should use Ringg AI?

Ringg AI is best suited for businesses handling high call volumes, including massive concurrent calls, that need multilingual voice automation at scale. It suits operations teams that want to design complex business logic using no-code workflows.

It's ideal for BFSI, logistics, e-commerce, ed-tech, healthcare, and fast-scaling enterprises that want 24/7 calling without expanding call center teams.

The platform also stands out for its responsiveness and hands-on support during deployment and production rollout.

2. SquadStack.ai

Source: Squadstack AI website

SquadStack is an AI-powered platform that combines conversational AI with human-assisted workflows to manage outbound and inbound calls. It is primarily focused on revenue-generating and customer lifecycle operations, such as lead qualification, follow-ups, sales outreach conversion, customer onboarding, collections, and support interactions

What are the key features of SquadStack.ai?

• AI voice agents with natural language understanding and real-time intent detection.
• Seamless handoff from AI to human agents for complex or high-value scenarios, with full context transfer.
• Direct integration with existing CRM systems for automated logging, updates, and synchronized data flows.
• Real-time agent performance tracking, call outcome tagging, and quality analysis across campaigns.

Positives of SquadStack.ai 

• Optimised for businesses running high-volume outbound calling and sales automation.
• Delivers AI-powered conversations in multiple Indian languages for broader customer reach.
• Evaluates success based on commercial impact, including qualified leads, conversions, and acquisition efficiency.

Where SquadStack.ai Lacks

• Bottlenecked by Human Hiring: Because the platform relies heavily on a human-in-the-loop BPO workforce, your ability to handle sudden call volume spikes is strictly limited by how fast they can recruit and train physical agents.
• High Operational Costs: The heavy reliance on manual labor drastically inflates the cost per lead and cost per minute compared to pure, infinitely scalable AI software models.

No Internal IP or Asset Ownership: You are essentially renting an outsourced BPO service rather than building, owning, and controlling your own scalable, automated internal voice infrastructure.

How much does SquadStack.ai cost?

SquadStack follows a usage-based pricing structure, where businesses are billed based on call activity and outcomes. Since pricing is customized according to business requirements, users need to contact the sales team for exact quotes.

How is Ringg AI better than SquadStack.ai?

During our evaluation, we realized Ringg AI beats SquadStack hands down with its end-to-end automation of both inbound and outbound calls. With Ringg AI, you don’t just get transparent pricing but also no-code visual builders for your business teams and robust APIs and SDKs for developers, giving you the flexibility to design and deploy voice agents with any level of customization.

3. Haptik

Source: Haptik AI

Next on our list of top AI voice companies is Haptik. It handles customer conversations using AI-powered chat and voice agents across multiple channels. The platform is focused on medium to large businesses with high interaction volumes and multi-touchpoint engagement.

What are the key features of Haptik?

• Conversational experiences on web chat, WhatsApp, Messenger, SMS, and more.
• No-code/low-code builder for designing AI workflows and templates.
• Capable of interacting in multiple languages to serve global audiences.
• Custom dashboards and analytics for insights into the agent’s performance.

Positives of Haptik

• Includes support for multiple regional and global languages.
• Supports customer engagement across voice, chat, WhatsApp, and mobile channels.
• Provides pre-built templates for a variety of industry use cases to help organizations configure and deploy voice agents more efficiently.

Where Haptik Lacks

• Voice is a Secondary Feature: Haptik’s core architecture is heavily optimized for text-based chatbots and WhatsApp messaging, meaning its live voice execution lacks the hyper-specialized, sub-400ms latency of a dedicated voice platform.
• High Technical Barrier: Despite offering some low-code tools, configuring complex enterprise routing and deep CRM integrations requires significant IT involvement and technical oversight.
• Complete Pricing Opacity: They do not publish any transparent pricing tiers, forcing operations teams into lengthy sales cycles just to get a baseline cost estimate.

How much does Haptik cost?

Haptik’s pricing is not available in the public domain. You’ll have to contact the sales team for a custom quote.

How is Ringg AI better than Haptik?

Ringg AI is better when your priority is fully autonomous, enterprise-grade voice automation with transparent, usage-based pricing and minimal reliance on human agents.

How is Ringg AI better than Haptik?

During our testing, one thing was clear - Haptik is designed as a broad conversational AI platform. It covers multiple communication channels and customer engagement use cases. Ringg AI, on the other hand, is tailor-made for enterprise voice automation. That narrower focus translates into a more streamlined implementation process, lower conversational latency, and voice interactions that feel more natural in production. 

4. Bolna AI

Source: Bolna AI

Bolna AI acts as a voice AI orchestration layer rather than being just a single, proprietary model provider. Instead of building voice agents in-house, it provides an interface to third-party AI models for automating customer calls.

What are the key features of Bolna AI?

• Works in more than 10 Indian languages with natural conversational flow and regional accents.
• You can build or tweak voice agents via a drag-and-drop builder or through APIs, so both technical and non-technical teams can use them.
• Easy integration with tools like Zapier and data workflows.
• When a conversation gets too complex, it can transfer the call to a human agent instantly.

Positives of Bolna AI

• Adapts to a wide variety of enterprise use cases instead of being limited to a single function.
• Lets you shape every aspect of the agent, from dialog logic to backend integrations.
• Carries context across interactions to deliver smoother and more personalized conversations.

Where Bolna AI Lacks

• Fragmented Billing Unpredictability: Because Bolna acts as an orchestration layer, your monthly invoice is a confusing combination of their platform fee plus the separate, fluctuating usage bills of your chosen LLM and telecom providers.
• Maintenance-Heavy Deployments: Managing, fine-tuning, and maintaining the connections between multiple third-party AI models requires ongoing developer intervention just to keep latency low.
• Shallow Enterprise Analytics: The platform lacks the deep, granular reporting and custom dashboarding required by enterprise contact centers to track complex, high-volume campaign outcomes.

How much does Bolna AI cost?

Bolna AI offers a pay-as-you-go pricing model alongside pilot and enterprise plans. Usage-based pricing starts at approximately 6¢ per minute, while the Pilots Plan includes up to 100 concurrent calls with fixed volume-based pricing.

How is Ringg AI better than Bolna AI?

After testing Bolna AI, we found that it gives sufficient control over how you build your voice AI stack. But this leads to significant configuration and operational complexity. Ringg AI focuses on reducing this complexity by combining core voice AI capabilities into one platform. This translates into a faster path to deployment and fewer components to configure and maintain. 

5. Nurix

Source: Nurix website

Nurix AI is a conversational AI platform aimed at mid-sized and large enterprises looking to streamline customer-facing and operational workflows. The platform supports industries such as financial services, insurance, retail, healthcare, and real estate, with a focus on broader enterprise automation.

What are the key features of Nurix?

• 400+ ready connections to business systems like CRM, ERP, support, and telephony.
• Human-like voice interactions with best-in-class interruption handling for complex calls.
• Built-in analytics to track KPIs and map them to agent decisions and flows.
• Voice, chat, email, and SMS interactions with consistent context and tracking.

Positives of Nurix

• Supports integrations with CRM, ERP, contact center, and other enterprise systems.
• Offers AI automation across voice, chat, and email from a single platform.
• Includes workflow automation and administrative tools for enterprise environments.

Where Nurix Lacks

• Requires Heavy Implementation Support: Nurix is not a self-serve platform; it relies heavily on its internal team to build, customize, and deploy your workflows, removing agility from your operations team.
• Diluted Omnichannel Focus: Balancing voice, text, email, and SMS inside a single platform dilutes the specialized focus required to maintain ultra-low latency for live, conversational phone calls.
• Opaque, Custom-Only Pricing: With no standardized public pricing tiers, forecasting the cost of scaling your contact center operations is nearly impossible without engaging in a long procurement process.

How much does Nurix cost?

Nurix AI does not publish standardized pricing publicly. Instead, pricing is typically custom-quoted.

How is Ringg AI better than Nurix?

Ringg AI is self-serve as compared to a full enterprise deployment of Nurix. With Ringg AI, you make changes easily without relying on their team, whereas Nurix requires proper implementation and customization support.

6. Verloop.io

Source: Verloop website

Verloop.io automates customer engagement and support. It's more focused on inbound calls and is designed to receive and resolve incoming customer queries. The platform’s strength also lies in cross-channel engagement.

What are the key features of Verloop.io?

• Works across your website chat, WhatsApp, Instagram, Facebook Messenger, and mobile apps.
• Handles interactions in 10+ Indian and 80+ global languages and dialects.
• Analytics for insights on customer engagement.
• Integrates well with popular CRM systems, including Salesforce, HubSpot, and Zoho.

Positives of Verloop

• Supports customizable voice personas, allowing you to configure AI agents with different voices and conversational styles
• Built on technologies such as Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Machine Learning (ML), with models trained on more than 1,000 hours of speech data
• Forms part of a broader customer experience ecosystem, with additional products for customer support, engagement, and automation

Where Verloop.io Lacks

• Weak Outbound Capabilities: The platform is optimized almost exclusively for inbound customer support ticketing, making it a poor fit for high-volume outbound sales, collections, or lead qualification campaigns.
• Chat-First Legacy Architecture: Its engine was built primarily for website chat and social media, meaning its voice automation feels bolted-on rather than natively built for real-time speech interruptions.
• Shallow Call Analytics: It lacks the advanced, call-specific metrics (like mid-sentence sentiment shifts or dynamic intent tracking) needed to optimize live voice operations at an enterprise scale.

How much does Verloop.io cost?

Verloop’s pricing is also not publicly disclosed. You'd need to reach out to their team for a real quote based on your volume and requirements.

How is Ringg AI better than Verloop.io?

If your main priority is automated voice call processes, such as outbound dialing, follow-ups, and lead qualification, Ringg AI is specialized for that in a way Verloop.io isn’t designed for.

7. Yellow.ai

Source: Yellow AI

Yellow.ai is built for large enterprises running complex, multi-channel customer service operations. Like Verloop, it’s also a chat-first, omnichannel platform that automates customer and employee conversations across multiple channels, languages, and departments.

What are the key features of Yellow.ai?

• Leverages 15+ LLMs to drive autonomous experiences for customers and employees.
• Offers a visual drag-and-drop workflow builder that lets business teams design and launch AI agents.
• Provides a library of over 150 pre-built integrations for major CRMs and ticketing platforms.
• Supports 135+ languages, making it useful for global customer bases.

Positives of Yellow.ai 

• Consolidates voice and digital engagement into a single workspace for managing customer interactions.
• Supports multilingual conversations, making it suitable for businesses serving geographically diverse audiences.
• Provides a drag-and-drop interface for building and modifying conversational journeys without extensive development effort.

Where Yellow.ai Lacks

• Overwhelming Platform Complexity: Its massive, "everything-for-everyone" omnichannel feature set creates a steep, frustrating learning curve for teams that simply want to automate phone calls.
• Lengthy, Consultant-Heavy Rollouts: Deploying their complex AI agents requires significant implementation planning, mapping, and technical support, drastically slowing your time-to-market.
• Hidden Enterprise Costs: While they offer a highly restricted free sandbox, their actual enterprise scaling costs are hidden behind custom quotes and opaque usage tiers.

How much does Yellow.ai cost?

Yellow.ai’s pricing information is partially public. It offers a free tier that includes one AI agent and 500 monthly chat sessions, with additional usage charged separately. For larger deployments, Enterprise pricing is customized based on business needs and capabilities, requiring users to contact the sales team for a quote.

How is Ringg AI better than Yellow.ai?

Ringg AI overshadows Yellow.ai due to its deep focus on automating inbound and outbound calls and a simple and clear pricing format. Yellow.ai also requires a lot of time for deployment.

8. OnDial

Source: OnDial website

OnDial is a business-friendly and quick-to-deploy AI voice agent platform designed to automate inbound and outbound calls. It largely caters to startups, SMEs, and small businesses seeking to scale their customer communications.

What are the key features of OnDial?

• 24/7 AI voice assistant agents that handle calls for appointment scheduling and lead qualification with natural language understanding.
• Support for 100+ languages for global customer reach.
• AI-powered analytics to assess call performance, sentiment, and behavior.
• API integration for developers and a no-code platform for business teams.

Positives of OnDial

• Offers usage-based pricing with volume-based discounts, making the platform easier to scale as your requirements evolve.
• Provides multilingual support across 100+ languages, along with an extensive library of voice options, including regional Indian voices.
• Features integrated analytics and reporting tools to help monitor agent performance and optimize operations.

Where OnDial Lacks

• Noticeable Conversational Latency: Users frequently report lag and latency spikes during live calls, which instantly breaks the illusion of a human conversation and frustrates callers.
• Struggles with Enterprise Scale: It is geared heavily toward startups and small businesses (like local clinics), lacking the robust infrastructure required to handle thousands of concurrent enterprise calls.
• Technical Roadblocks for Integrations: Despite marketing itself to SMEs, connecting the platform to complex enterprise CRMs often requires developer support rather than simple plug-and-play connectors.

How much does OnDial cost?

OnDial follows a usage-based pricing structure, where 1 credit equals $1 and is applied toward minutes, phone numbers, and channels. The starting plan costs $0.055 per minute, with lower per-minute rates available at higher usage tiers, while enterprise pricing is customized for large-scale deployments.

How is Ringg AI better than OnDial?

During our evaluation, we found that OnDial and Ringg AI are both built to address enterprise voice automation for the Indian market. However, Ringg AI stood out with a more deployment-ready experience, faster implementation, and lower call latency, making it better suited for businesses looking to move quickly from pilot to production. 

9. Mihup.ai

Source: Mihup website

Mihup.ai is a comprehensive conversation intelligence ecosystem that covers contact centers, automotive vehicles, and IoT devices. One of its strengths is the strong support of regional languages and mixed-language speech patterns.

What are the key features of Mihup.ai?

• Contextual prompts and recommended actions to support live agents during conversations.
• Automated voice analytics for quality assurance, sentiment, and training insights.
• Agent Assist guides human agents during live calls with contextual prompts, next-best actions, and compliance alerts.
• Detects caller urgency or sentiment and can trigger human escalation or agent support.

Positives of Mihup.ai

• Supports Indian languages, regional dialects, and code-switched conversations, making it well suited for contact centers serving multilingual customers.
• Provides real-time call intelligence, including live agent guidance, sentiment monitoring, compliance alerts, and conversation insights.
• Automatically transcribes and analyzes customer calls, identifying sentiment, key topics, and conversation trends.

Where Mihup.ai Lacks

• Not an Autonomous Voice Agent: Mihup is primarily an "agent-assist" tool designed to coach human call center workers in real time, rather than an autonomous AI that completely replaces the need for human agents.
• Highly Complex User Interface: The platform is designed for contact center Quality Assurance (QA) teams and data analysts, making it clunky and difficult for agile marketing or operations managers to use.
• Custom-Quoted Pricing: It completely lacks straightforward SaaS tiers, making budgeting a challenge for teams looking to scale predictably.

How much does Mihup.ai cost?

Mihup does not publish pricing publicly. You'd need to contact their team directly, and pricing is likely customized based on call volume, number of agents, and which products you use.

How is Ringg AI better than Mihup.ai?

Mihup's strength is making sense of calls that have already happened and coaching agents during live ones. Ringg AI's strength is removing the need for human agents on routine calls entirely, which is a more complete, cost-efficient solution for call automation.

10. ElevenLabs

Source: ElevenLabs website

ElevenLabs is primarily a voice generation and audio technology company that is known for its AI-assisted text-to-speech software, which can produce lifelike speech by synthesizing vocal emotion and intonation.

What are the key features of ElevenLabs?

• Ability to clone voices from relatively short samples.
• Natural-sounding voice quality and realistic voice synthesis.
• Developer-first APIs to plug into apps, games, narration tools, and custom workflows.
• Dashboards provide metrics on usage, voice performance, and token/character consumption for cost and operational insight.

Positives of ElevenLabs

• Produces human-like voices that are suitable for a wide range of customer-facing voice applications.
• Offers a broad library of voices along with voice cloning and customization capabilities, allowing businesses to create branded voice experiences.
• Delivers expressive speech with natural pacing, intonation, and emotional variation, helping AI conversations sound more realistic and engaging.

Where ElevenLabs Lacks

• No Native Telephony Execution: ElevenLabs is a synthetic voice generator; it completely lacks the native SIP integrations and telecom carrier connections required to actually dial a phone number or receive a call.
• Weak Conversational Orchestration: It provides the "voice" but lacks the "brain"-missing the business logic, CRM routing, and intent tracking needed for a functional call center.
• Expensive Character-Based Billing: Charging by the character generated makes high-volume, live conversational operations excessively expensive and nearly impossible to forecast accurately compared to flat per-minute models.

How much does ElevenLabs cost?

ElevenLabs uses a credit-based pricing system, with a free plan and paid subscriptions starting at $6 per month for Starter. Higher-tier options include Creator at $11 per month and Pro at $99 per month, while larger Business and Enterprise plans are available for advanced usage needs.

How is Ringg AI better than ElevenLabs?

Ringg AI's flat per-minute pricing offers much-needed clarity compared to the complexity of ElevenLabs’ multi-tier credit system. Plus, Ringg AI is built to run real telephony workflows with integrated call logic. In contrast, ElevenLabs focuses on high-quality voice generation and synthesis, not full conversational automation or live call orchestration.

11. Herbie.ai

Source: Herbie.ai website

Herbei.ai is designed to handle customer-facing conversations and internal business operations, such as support, HR, sales, finance, and knowledge retrieval.

What are the key features of Herbei.ai?

• Builds responses using knowledge retrieval and context understanding.
• Handles 70+ languages for voice and 132+ for text.
• Works across 15+ social and messaging channels, including WhatsApp, Facebook, Instagram, and more.
• Low-code integration with systems like CRM, internal apps, and databases.

Positive of Herbie.ai 

• Offers omnichannel deployment with CRM and ERP integration, allowing you to connect customer conversations with existing enterprise systems and workflows.
• Automates routine customer service tasks such as lead capture, appointment scheduling, service updates, and common customer queries
• Includes analytics and reporting capabilities that help you monitor chatbot performance and understand customer interactions better.

Where Herbie.ai Lacks

• Diluted Product Focus: Trying to be an internal HR bot, an IT helpdesk, a finance assistant, and an external customer support tool takes away from the hyper-specialized performance required for flawless voice telecalling.
• Complex Enterprise Deployments: Setting up the infrastructure to span across multiple internal departments and 15+ social channels requires massive, slow-moving IT involvement.
• Hidden Pricing Structures: Completely custom quotes prevent rapid vendor evaluation, forcing agile operations teams to sit through discovery calls just to get a price.

How much does Herbie.ai cost?

Herbei.ai keeps the pricing hidden from public view. For accurate pricing plans, you’ll need to contact their sales team directly.

How is Ringg AI better than Herbie.ai?

Ringg AI is purpose-built to optimize voice call automation end-to-end. In contrast, Herbie.ai’s broad, multi-departmental AI scope can dilute focus for organizations whose primary need is efficient, specialized phone call automation.

12. Kore.ai

Source: Kore.ai

Kore.ai is an enterprise conversational AI platform built for organizations that need AI across customer service, employee support, and business operations. Rather than focusing exclusively on voice automation, the platform provides a broad toolkit for building AI assistants, automating workflows, and integrating with enterprise systems.

Key Features

• AI assistants for customer support, employee service, and process automation
• No-code, low-code, and developer-centric tools for designing conversational experiences and enterprise workflows.
• Enterprise-grade governance, security, and compliance capabilities 

How Much Does It Cost?

Kore.ai follows a custom pricing model and does not publish its pricing publicly. You need to contact the sales team to discuss their use case and receive a tailored quotation.

Pros

• Supports integrations with a broad ecosystem of enterprise applications
• Provides flexible development options through visual builders as well as developer tools
• Supports both customer-facing and employee-facing AI assistants from a single platform, covering a wide range of enterprise use cases. 

Cons

• The platform's broad feature set can result in a steeper learning curve, particularly for first-time users.
• Configuring advanced workflows and enterprise integrations may require additional implementation effort.
• Some users report slower performance when managing highly complex bots with multiple connected systems.

Why Ringg AI Wins Over Kore.ai

During our evaluation, the biggest difference came down to focus. Kore.ai is designed as a broad enterprise AI platform spanning customer service, employee support, and workflow automation. Ringg AI takes a more specialized approach by concentrating on enterprise voice automation. This makes the platform easier to deploy, simpler to manage, and faster to move from proof of concept to production. 

What makes an AI Voice Agent Company the Best?

To help you out, we have consolidated some features that can’t be overlooked during your research for the best voice AI companies:

• How natural the voice actually sounds: Look for sub-400ms latency, smooth turn-taking, interruption handling, and speech that feels genuinely human.
• Language intelligence and adaptability: The platform should support multiple languages, detect language automatically, and handle real-world code-switching with cultural accuracy.
• Security and compliance standards: Ensure it meets enterprise requirements with strong encryption, regulatory compliance, and guaranteed uptime.
• Scalability under pressure: It should handle thousands of concurrent calls without lag, auto-scale during traffic spikes, and maintain consistent performance.
• Integration ecosystem: Check for CRM, telephony, and API integrations that allow the voice agent to plug seamlessly into your existing systems.
• Ease of deployment vs. customization depth: The best AI voice companies balance no-code simplicity for business teams with developer flexibility for complex workflows.
• Analytics and performance visibility: Real-time dashboards, call transcription, sentiment analysis, and full interaction tracking are essential for optimization.
• Transparent and predictable pricing: Clear cost structures without hidden AI or usage fees make ROI easier to calculate and scale confidently.

Want a deeper breakdown of what to look for in each of these areas? We've put together a detailed evaluation framework. Read the full article here.

Why Leading Enterprises Choose Ringg AI

As AI voice adoption accelerates across industries, enterprises need platforms that can handle millions of calls reliably, integrate with existing systems, meet compliance requirements, and deliver measurable cost savings. These are precisely the capabilities Ringg AI is built to deliver.

Today, the platform supports approximately 1.5 million customer conversations every month, with nearly 77% of calls fully automated without human intervention.

Ringg AI goes beyond basic call automation with its:

• Industry-leading low latency
• Proven scalability at the production level
• All-in-one voice Operating System
• Context-aware human handoff
• Clear cost structures with no hidden surprises
• Robust data protection and compliance standards

For enterprises running voice as their core operation, Ringg AI delivers the speed, scale, and reliability your business demands. Book a demo today and see how enterprise-grade voice AI should actually work.