Top 10 Voice Bots: Bland AI, ElevenLabs & PolyAI
A voice bot or voice AI agent listens to the caller, uses speech recognition to convert spoken words into text, applies natural language processing and natural language understanding to identify customer intent, and then returns an answer via text-to-speech.
Explore the top 10 voice bots and compare their pricing plans, deployment and telephony models, interface types, and the number of supported languages.
Top 10 Voice bots pricing comparison
Product | Free plan/trial | Starting price |
|---|---|---|
Bland AI | 2 free credits | $0.14/min |
ElevenLabs | 10K credits/month | $6/month |
Google Dialogflow CX (Flows) | $600 credit for 12 months | $0.001/second |
Lindy | 7-day free trial | $50/month |
PolyAI | N/A | N/A |
Retell AI | $10 trial credits | $0.07-$0.31/min |
Sierra AI | N/A | N/A |
Synthflow | 1 free agent | Pay-as-you-go |
Vapi | $10 trial credits | Pay-as-you-go |
Voiceflow | 7-day free trial | N/A |
Note: The vendors are listed alphabetically. Pricing information is obtained from vendor websites.
Voice bots feature comparison
BYO-LLM (Bring Your Own LLM): Indicates whether a voice AI platform permits integrating a customer-selected language model (typically authenticated via the customer’s own API key) rather than restricting users to the model bundled with the platform.
Bland AI
Bland AI is an API-first voice bot platform focused on outbound calling and programmable conversation flows.
- Conversational Pathways for detailed webhook control over dialogue management.
- Self-hosted GPU option for enterprises that need to keep voice data inside their own infrastructure.
- Batch outbound calling for campaigns with high call volumes.
- Automated voicemail detection and retry logic for outbound workflows.
- Voice cloning support for teams that need a consistent brand voice across calls.
Bland AI is designed for enterprises that need data sovereignty, outbound call automation, or more control over the infrastructure behind their AI voice bots.
ElevenLabs
ElevenLabs offers ElevenAgents, a voice-first AI agent platform built on its speech synthesis, speech-to-text, and conversational AI stack. The platform is designed for lifelike inbound and outbound phone agents, sales qualification, customer support, virtual reception, appointment scheduling, and contact center automation.
It supports no-code agent creation as well as APIs and SDKs. ElevenLabs integrates with Salesforce, Calendly, Zapier, Stripe, Jotform, and RingCentral.
- Ultra-low-latency voice conversations with fast turn-taking and natural dialogue flow.
- Large voice library, custom voice cloning, persona control, and expressive speech output.
- Multilingual support across 70+ languages with dynamic language switching.
- Enterprise security features include encryption, SOC 2, HIPAA, GDPR, regional data residency, and zero-retention mode.
ElevenLabs suits teams that require highly realistic voice quality, combined with practical voice-agent workflows for customer support, lead capture, scheduling, and multilingual phone automation.
Figure 1: ElevenLabs workflow design example.1
Google Dialogflow CX (Flows)
Google Dialogflow CX is a cloud-based conversational platform built around a visual state-machine builder for multi-turn conversations.
- Integration with Google Cloud infrastructure, Vertex AI, and Contact Center AI products.
- Agent Assist and CCAI Insights support for contact center workflows.
- Partner integrations with Avaya, AudioCodes, Twilio, and Voximplant.
- Support for more than 120 languages and regional variants.
Dialogflow CX fits organizations already using Google Cloud that need structured conversation flows, broad language support, and contact center integrations.
Lindy
Lindy provides a no-code workflow builder for creating voice agents and broader business automations.
- Over 100 integrations across CRM, email, productivity, support, and collaboration tools.
- Knowledge base support for answering customer queries from approved company content.
- More than 50 supported languages for multilingual voice interactions.
Lindy suits organizations that require voice automation connected to existing SaaS workflows rather than a standalone voice bot tool.
PolyAI
PolyAI provides voice automation as a managed service for enterprises seeking vendor support for dialogue design and optimization.
- High call containment for transactional contact center use cases.
- Pre-trained domain models for common industry and service scenarios.
- Beta self-serve agent builder for teams that want to create agents directly.
- Agent Development Kit for organizations that prefer more technical control over agent development.
PolyAI suits large enterprises with high call volumes that want managed voice automation.
Retell AI
Retell AI is a cloud voice agent platform built for low-latency customer calls.
- Sub-second voice interaction, with reported latency around 600 milliseconds under production load.
- Bring-your-own-LLM support for teams that want to use providers such as OpenAI, Anthropic, or Google.
- Self-service HIPAA compliance, including Business Associate Agreement execution without a mandatory enterprise contract.
- Clear per-minute pricing with no separate platform fee.
- Drag-and-drop flow builder for teams that want to design voice bots without building every flow from code.
Retell AI is best suited for healthcare teams and high-volume contact centers that need fast voice conversations, HIPAA support, and usage-based pricing.
Figure 2: Retell AI call transfer dashboard.2
Sierra AI
Sierra AI builds conversational agents trained on company SOPs, transcripts, and audio recordings through its Ghostwriter builder.
- Brand-specific agent behavior for maintaining a consistent customer experience.
- Multi-model architecture using LLMs from OpenAI, Anthropic, and Meta.
- Compliance coverage including SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, and GDPR.
Sierra AI suits large consumer brands that want voice and digital agents aligned with company processes, brand voice, and outcome-based pricing.
Synthflow
Synthflow is a no-code voice bot platform built around a drag-and-drop builder and the BELL framework, which covers building, evaluating, launching, and learning from voice agents.
- More than 200 prebuilt integrations with sales, scheduling, CRM, and automation tools.
- White-label and agency subaccount support for service providers.
- Bring-your-own-carrier option for telephony flexibility.
- Voice cloning supports branded voice interactions.
Synthflow fits agencies and small-to-medium businesses that want to launch voice automation quickly without relying on a large engineering team.
Vapi
Vapi is a developer-focused voice AI platform that allows teams to choose and swap speech-to-text, LLM, and text-to-speech providers.
- Squads for building multi-agent voice workflows with specialized agents.
- Workflows for visually editing conversation logic.
- API-first structure for engineering teams that need direct control over voice agent behavior.
- SOC 2 and HIPAA compliance support.
Vapi suits organizations with voice AI engineering resources that need provider-level control over their speech, reasoning, and voice output stack.
Voiceflow
Voiceflow is a collaborative conversation design platform for teams building voice and chat experiences.
- Real-time collaboration for conversation designers, product teams, and agencies.
- Real-time preview for testing dialogue flows during design.
- Telephony support through native US and Canadian number provisioning, as well as Twilio, Vonage, and Telnyx integrations.
Voiceflow fits teams that focus on conversation design, prototyping, and collaboration across voice and chat channels.
AI voice agents case studies
MyPlanAdvocate with Bland AI
MyPlanAdvocate faced high costs from inbound Medicare calls, as 25–30% of paid calls were unqualified after passing the billable threshold. In addition, human agents spent 40–50 minutes per day reading mandatory post-sale disclosures, limiting the time available for sales conversations.
Bland addressed these issues by deploying Bland AI voice agents across two workflows. The inbound agent, Emily, screened and qualified callers before routing them to sales representatives. A second agent, Mason, handled required disclosure reading after purchases, reducing repetitive manual work for human agents.
Following implementation, MyPlanAdvocate reported that unqualified paid calls fell below 5%, while the AI system handled approximately 2,500 inbound calls per day. The company also reported improved agent productivity, a 200% higher conversion rate compared with human agents, more than $40 million in additional annual revenue, and a 262x return on investment.3
Financial institution with Kore.ai
A U.S.-based regional bank faced increasing pressure on its customer service operations due to more than one million customer calls per year, rising expectations for always-available support, and a legacy IVR system that often led customers through inefficient call flows. Human agents escalated many routine inquiries, increasing handle times, support costs, and agent workload.
Kore.ai addressed these issues by implementing AI for Service with banking-specific voice and digital AI agents. The solution replaced the legacy IVR with conversational self-service across channels, enabling customers to complete common tasks such as balance inquiries, account updates, payments, card services, and transaction questions.
Following implementation, the bank reported more than 2.6 million automated customer sessions, over 5 million automated voice minutes, and containment rates of 86% for digital interactions and 42% for voice interactions. The deployment reduced pressure on live agents, expanded 24/7 customer access, and allowed human teams to focus on more complex customer needs.4
KPN with ElevenLabs
KPN aimed to expand the use of voice-based digital experiences across its services while maintaining a high standard for usability, privacy, and customer accessibility. As the largest telecom provider in the Netherlands, the company identified opportunities to make content more accessible through voice and to improve automation in customer interactions.
ElevenLabs supported this effort by deploying an advanced AI audio within KPN’s ecosystem. The collaboration includes practical voice AI applications for KPN’s internal services and customer-facing experiences, such as voice-accessible content and automated customer support.
The partnership serves as a foundation for broader voice AI adoption in the Dutch market. Initial initiatives focus on improving accessibility, enabling more natural customer interactions, and supporting more personalized 24/7 service experiences across KPN’s products and services.5
FAQs
The core feature of a voice bot is real-time voice interaction. It requires automatic speech recognition, natural language processing, intent detection, and text-to-speech working together.
Some voice AI agents use a speech-to-speech architecture, in which the model works directly with live audio. Other tools use a chained pipeline that separates speech-to-text, reasoning, and speech output, which can be useful for support flows that need transcripts, approvals, or tighter control.
Voice bots also connect to existing business systems. This allows them to use customer data, customer history, past conversations, CRM records, helpdesk tickets, order systems, and the same database used by the support team.
Other important features include multilingual support, secure customer verification, interruption handling, call analytics, voice automation for both incoming and outbound calls, and a smooth handoff to human agents.
These features are essential because customers expect fast answers and a direct route to a person when the issue requires judgment, empathy, or exception handling.
Customer support: Voice bots can handle routine inquiries such as order status, delivery updates, appointment changes, password resets, billing questions, and basic troubleshooting.
They can reduce pressure on the support team by resolving simple customer queries before they reach human agents. When the issue requires human support, the bot can transfer the call with the customer’s history, account details, and the caller’s intent.
Sales: Sales teams can use AI voice bots to qualify leads, call prospects, confirm interest, schedule demos, and follow up after missed calls.
A voice bot can ask basic discovery questions, update the CRM, and pass qualified leads to a sales representative. This helps the sales team spend more time on conversations that are likely to move forward.
Contact center operations: Voice bots help contact centers manage incoming calls without relying only on traditional IVR systems. They can identify customer intent through natural language, route calls to the right department, collect information before the handoff, and answer common questions without human intervention.
This can improve agent productivity and reduce customer frustration during peak hours.
Appointment scheduling: Clinics, salons, repair services, and local businesses can use voice bots to book, reschedule, or cancel appointments.
The bot can check availability in the same database used by staff, send reminders, and update customer records after the call. This is useful for businesses that receive many repetitive scheduling calls.
Order and account management: Voice bots can help customers check order status, update account details, confirm payments, report missing deliveries, or request returns.
Outbound calls: Businesses can use voice bots for outbound calls such as payment reminders, delivery confirmations, appointment reminders, survey calls, renewal notices, and proactive assistance.
These calls are usually structured, which makes them easier to automate while still allowing transfer to human agents when needed.
Employee support: Voice bots can also handle internal employee queries. For example, employees can ask about IT issues, HR policies, payroll dates, holiday balances, or access requests.
This reduces repetitive tasks for internal teams and provides employees with quick answers via a voice channel.
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