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Retell AI

Retell AI combines configurable voice agents, telephony, testing, monitoring, and integrations for operational workflows.

Editorial score

4.0 /5
How we scored it

Is Retell AI worth it?

Nick Oscar
Editor, Reviews.vc · Updated September 18, 2026
Good For

Supports inbound, outbound, web, chat, callback-widget, and SMS-related agent experiences.

Caution

Voice costs vary by language model, TTS provider, telephony path, and add-ons.

Retell AI product image
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On this page

Retell AI is a voice and chat agent platform for teams that need to build, deploy, test, and monitor automated conversations across phone and web channels. Its capabilities cover telephony, tools, human handoff, integrations, simulation, analytics, and production controls, making it a strong option for technical teams and customer operations that can manage configuration and variable usage costs.

What is Retell AI?

Retell AI is a platform for building, testing, deploying, and monitoring AI voice and chat agents. It combines agent configuration, speech recognition, language model responses, voices, telephony behavior, tools, integrations, analytics, and production controls. Teams can deploy experiences across phone, web voice, chat, callback widgets, and SMS workflows.

Conversation design and handoff

Retell AI supports single-prompt and multi-prompt agents, with prompted states and explicit transitions for more structured flows. Dynamic variables can personalize greetings, responses, and routing, while knowledge bases can be built from URLs, files, custom text, Google Drive, Microsoft OneDrive, and Notion. Voice settings cover voice selection, rate, pronunciation, pauses, expressive speech, and supported TTS fallback options.

For escalation, agents can transfer calls cold, warm, or agentic-warm. Live monitoring includes transcripts, silent listening, takeovers, and termination controls.

Telephony and actions

Retell AI supports managed U.S. and Canadian numbers for inbound and outbound calling, plus elastic SIP trunking and number import from Twilio, Telnyx, and Vonage. It also supports browser calling, batch outbound workflows, webhooks, APIs, SDKs, and custom functions.

Tools can book appointments, send SMS, transfer or end calls, call external APIs, and use DTMF to navigate IVRs. CRM connections can support contact lookup, synchronization, activity logging, and post-call writeback.

Testing, monitoring, and controls

Testing includes a playground, AI simulation, batch simulation, web-call testing, phone-call testing, production A/B testing, versioning, environment tags, and rollback controls. Teams can inspect call and chat history, transcripts, and analysis; reanalyze interactions; and export CSV data.

Dashboards can track success rate, latency, cost, and concurrency, with email or webhook alerts. Retell AI also supports structured post-call extraction, recording and transcription opt-out, custom retention settings, expiring secure URLs, RBAC, SSO, and enterprise data terms.

Who should consider Retell AI?

Retell AI fits developers and technical operations teams that want APIs, SDKs, webhooks, custom functions, telephony connectivity, and configurable agent logic. It also works well for customer service, sales, scheduling, and contact center workflows that need routing, knowledge-base responses, CRM access, escalation, and post-call reporting.

Self-serve teams can start with free credits and usage-based pricing, while enterprise buyers can pursue higher concurrency, SSO, RBAC, implementation support, and custom terms. Buyers should model variable usage costs and validate obligations for consent, recording, outbound calling, data handling, and international programs.

Buyer scenarios

Where the product fits — and where to be careful

Technical teams building production voice workflows

Need
Build, connect, test, and monitor inbound or outbound voice agents.
Why it fits
Its APIs, SDKs, webhooks, custom functions, custom LLM paths, SIP connectivity, CRM integrations, and testing tools support teams that can configure and operate agent workflows.
Watch out
Usage costs vary with LLM, TTS, telephony, and add-ons, while customer responsibilities apply to outbound calling and recording programs.

Strong fit for teams that need configurable voice agents and operational control.

Customer service and contact-center operations

Need
Automate service, scheduling, qualification, reminders, or outbound engagement while retaining human handoff.
Why it fits
Inbound support, knowledge-base answers, routing, human escalation, CRM or helpdesk access, scheduling, post-call extraction, and analytics align with service and contact-center workflows.
Watch out
Teams with strict legal, consent, healthcare, payment-data, or international-calling requirements should validate agreements, data settings, and program requirements.

Strong fit where operations need voice automation with escalation and reporting.

Pros & Cons

Pros

  • Supports inbound, outbound, web, chat, callback-widget, and SMS-related agent experiences.
  • Provides structured testing, production monitoring, analytics, alerts, versioning, and rollback controls.
  • Offers managed telephony alongside SIP, imported-number, API, webhook, and custom-function options.
  • Supports cold, warm, and agentic-warm transfers with live monitoring and takeover controls.
  • Public usage pricing includes free credits and 20 free concurrent calls.

Cons

  • Voice costs vary by language model, TTS provider, telephony path, and add-ons.
  • Configuration and operational controls are best suited to technical or operational teams.
  • Customers must validate consent, recording, outbound-calling, data, and international-program requirements.
Editorial score breakdown

Editorial scores

Editorial score
4.0
Testing and observability
4.0

Retell AI provides five testing modalities, A/B testing, versioning, rollback, dashboards, alerts, post-call extraction, data-retention controls, RBAC, and SSO options.

Telephony and actions
4.0

The platform supports managed and imported telephony, SIP routing, inbound and outbound calling, batch workflows, API and webhook controls, external actions, IVR navigation, and several transfer modes.

Conversation capabilities
4.0

Retell AI supports multi-turn single- and multi-prompt flows, dynamic variables, knowledge bases, custom LLM paths, voice controls, guardrails, IVR handling, and human transfers.

Usability, support & value
4.0

The accepted review aggregate is predominantly positive, with especially strong positive mentions for ease of use and positive value-for-money feedback; onboarding feedback is also mostly positive.

Customer sentiment

Retell AI customer reviews and sentiment

Based on 63 public customer reviews. Source mix: 62 from trustpilot.com, and 1 from gartner.com.

Customer sentiment is analyzed separately and does not determine the Reviews.vc editorial score.

63 public reviews analyzed
Positive
89%56 reviews
Mixed
6%4 reviews
Negative
5%3 reviews
Theme and findingMentionsPositiveNegative
Ease of use
Users find the platform approachable for beginners while retaining flexibility for advanced agent builds.
29290
Conversation capabilities
Conversation Flow, customization, and tool integrations support natural-sounding agents that handle complex call logic and business workflows.
23214
Telephony and actions
Teams use integrations, webhooks, and calling automation to qualify leads, update systems, schedule appointments, and run outbound workflows.
21192
Value for money
Reviewers see the pricing as cost-effective, particularly the pay-as-you-go model and no charge for unanswered calls.
11111
Onboarding
Setup and onboarding are commonly described as quick, with users able to create and activate agents without a lengthy implementation process.
651

Mentions count unique reviews. One review can count as both positive and negative for the same theme when it describes a mixed experience.

This analysis reflects public customer reviews we could identify and access at the time of collection; the displayed source mix may influence the patterns shown.

Pricing and contract model

Retell AI publishes usage-based pricing for voice and chat agents, plus a custom-priced enterprise option.

PlanPriceIncludes
Pay as you go voice agents
$0.07–$0.31 per minute
per minute
Usage-based voice-agent pricing; total cost can vary by language model, TTS provider, telephony path, and add-ons.
Pay as you go chat agents
From $0.002 per message
per message
Usage-based chat-agent pricing.
  • Pay-as-you-go includes $10 in free credits and 20 free concurrent calls.
  • Additional concurrency is listed at $8 per concurrent call per month.

Integrations

Documented connections and access methods for Retell AI.

CRM

HubSpot Native
Salesforce Native
Microsoft Dynamics 365 Native
Zendesk Native

Developer/API

Retell API Public API

Productivity suite

Calendly Native

Document storage

Google Drive Native

Other

Twilio Other
  • The integration catalogue distinguishes Retell-maintained integrations from unofficial and custom options.

What's new

Recent product and company updates

  • 2026-08-11

    Retell AI announces $4.6M seed funding round

    Retell AI announced a $4.6 million seed funding round led by Alt Capital.

    Source
  • 2026-06-29

    Retell AI launches Conductor

    Retell AI launched Conductor, a graph-native review system and operational AI copilot for production voice agents.

    Source

FAQ

How is Retell AI priced?
Retell AI offers pay-as-you-go usage. Voice-agent usage is listed at $0.07–$0.31 per minute, chat usage starts at $0.002 per message, and enterprise pricing is custom.
What call types can Retell AI handle?
Retell AI supports inbound and outbound phone calls, web calls, browser calling, batch outbound workflows, and SIP-based connectivity.
Can a Retell AI agent hand a call to a person?
Yes. Retell AI supports cold, warm, and agentic-warm transfers, plus live transcript monitoring, silent listening, human takeover, and call termination.
How can teams test Retell AI agents?
Testing options include the LLM Playground, simulation, batch simulation, web-call testing, phone-call testing, production A/B testing, versioning, and rollback controls.
Review transparency Corrections policy
Change history
  1. 2026-09-18 Initial publication First published version of this review.
12 sources analyzed
  1. Retell AI retellai.com
  2. Retell AI documentation index docs.retellai.com
  3. Retell AI Pricing retellai.com
  4. Integrations overview docs.retellai.com
  5. Chat widget deployment docs.retellai.com
  6. AI customer service retellai.com
  7. Retell AI announces $4.6M seed funding round retellai.com
  8. Voice AI startup Retell AI launches Conductor globenewswire.com
  9. Terms of Service retellai.com

Showing 9 of 12 sources · 3 additional sources analyzed

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  • Testing and observability
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