Retell AI
Power phone and chat agents that sound natural in conversation, assembled from any mix of LLM, voice, and telephony provider.
The verdict on Retell AI: Businesses that want phone-based voice agents handling calls at scale without piecing together the voice stack themselves Retell is for businesses that need phone-based voice agents running at scale and don't want to piece together speech-to-text, an LLM, and telephony themselves. Pricing: Pay-as-you-go from $0.07-0.31/min / Enterprise custom.
Best For
Businesses that want phone-based voice agents handling calls at scale without piecing together the voice stack themselves
Standout Feature
A visual workflow builder handles call logic with no code, on top of a managed speech-to-text-to-LLM-to-speech pipeline
TL;DR
A genuine full-stack shortcut versus building from raw APIs, per-minute costs climb fast at real production volume.
Alternatives
Fit Score: use-case reference
How this is scoredRetell AI scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
A business that wants phone-based voice agents handling inbound or outbound calls at scale without piecing together the voice stack themselves
4.2/5- Capability
- 5/5
- Reliability
- 4/5
- Value
- 4/5
- Ease
- 5/5
- Compatibility
- 3/5
Retell's managed full-stack approach with a no-code visual builder compresses what would otherwise be a significant engineering project into something a non-developer can configure, per the tool's own take.
A startup testing voice agents at low call volume
2.2/5- Capability
- 2/5
- Reliability
- 3/5
- Value
- 1/5
- Ease
- 3/5
- Compatibility
- 2/5
Cons note per-minute costs scale quickly at production volume, and the tool's own take advises startups testing at low volume to model the costs carefully first since the economics look very different at low versus high call counts.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Retell AI is a platform for building and deploying conversational voice agents for phone-based customer interactions, inbound support lines, outbound sales calls, appointment reminders, and intake flows that operate at scale without human agents handling each call. It manages the full voice AI stack: speech-to-text, LLM-based response generation, text-to-speech, interruption handling, turn management, and call lifecycle, all optimized for the sub-500ms latency that makes voice conversations feel natural rather than robotic. The workflow builder creates branching conversation logic for complex call flows without code: define the path for different caller responses, set conditions for escalation to a human agent, and configure confirmation steps for appointment or transaction workflows.
What differentiates Retell from raw voice APIs is the built-in operational layer: phone number provisioning across 50+ countries, call recording with transcript generation, call analytics dashboards, webhook integrations for real-time event processing, and native CRM integrations with HubSpot and Salesforce for automatic call logging. Used by healthcare practices automating appointment scheduling and reminder calls, real estate agencies handling property inquiry routing, insurance companies managing claims intake, and SaaS companies building AI customer service phone channels. Developer-friendly: the API is well-documented with SDKs in Python and JavaScript, a testing environment for call simulation before production, and usage-based pricing that starts at $0.05–$0.07 per minute depending on configuration.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Full-stack voice solution, less infrastructure than building from components
- • Visual workflow builder requires no code for call logic
- • Strong integrations with healthcare and real estate tools
- • Per-minute costs scale quickly at production volume
- • Less model flexibility than raw API alternatives
Key Features
- Inbound and outbound calling
- Visual call flow builder
- CRM integrations
- Call recording and transcripts
- Phone number provisioning
- Real-time analytics
Trust & Data
Verified 2026-09
- Training on your data
- Not publishedRetell's own compliance page explicitly claims HIPAA compliance, GDPR compliance via an AWS data processing addendum, and SOC 2 Type 1 and Type 2 certification, with self-signable BAA and DPA agreements and configurable per-agent retention from 1 day to 2 years. However, neither that compliance page nor the general privacy policy states whether call recordings, transcripts, or agent data are used to train Retell's own AI models; that specific question simply isn't addressed on the vendor's own pages.
- Compliance
- HIPAA, SOC 2 Type 1, SOC 2 Type 2, GDPR
- Retention
- Data retention is configurable per agent, from 1 day up to 2 years, for transcripts, recordings, and logs; privacy and PII controls let customers choose what is stored per agent.
- Export
- Not published
Sources: retellai.com, docs.retellai.com
As published by the vendor. Verify independently before purchase decisions.
Our Take
The managed full-stack approach with a no-code visual builder compresses what would otherwise be a significant engineering project into something a non-developer can configure. The tradeoff is cost: per-minute pricing between $0.07 and $0.31 adds up fast, and the economics look very different at 1,000 calls a month versus 10,000. Teams running inbound support lines or outbound sales calls at meaningful scale will find the infrastructure savings worth it. Startups testing at low volume should model the costs carefully first.
Workflows Using This Tool
Step-by-step playbooks whose entries name Retell AI. The step shown is where the workflow uses it.