VoiceRun vs Retell AI - Voice AI Platform Comparison

Comprehensive comparison between VoiceRun and Retell AI for voice AI development. Compare features, capabilities, and pricing to determine the right voice AI platform for your enterprise needs.

Executive Summary

VoiceRun - Code-First Voice AI Platform

VoiceRun is a code-first serverless voice AI platform that provides enterprise-grade infrastructure with full developer control. Unlike visual configuration platforms, VoiceRun allows you to own your complete voice agent source code and implement custom business logic using Python or TypeScript.

VoiceRun Key Benefits:

  • Full code ownership & customization
  • Serverless, auto-scaling infrastructure with managed and self-hosted options
  • Dashboard, CLI, and comprehensive development tools
  • A/B testing, LLM evaluations, and advanced tracing
  • Multi-voice and multi-language support via integrated providers
  • Unified telephony, audio, scaling, observability, and compliance
  • Flexible deployment: managed cloud, VPC, or fully self-hosted
  • Forward-deployed engineers for implementation and production support
  • Ruthlessly optimized for low-latency voice processing

Retell AI Overview

Drag-and-drop voice AI platform with pre-built templates, multi-language support, and enterprise compliance features for standard, menu-like call flows.

Retell AI Key Features:

  • No-code visual builder for phone agents
  • Telephony and CRM integrations plus webhook/API extensibility
  • Analytics dashboard and post-call analysis for monitoring call performance
  • HIPAA, SOC 2, and GDPR compliant

Quick Comparison Summary

Choose VoiceRun if: You need maximum flexibility, custom business logic, enterprise deployment options, advanced development tools, or low-latency requirements.

Choose Retell AI if: You prefer visual configuration interfaces for building voice applications and have standard use cases.

Agents Comparison

How you build and control your voice agent's behavior, logic, and conversation flows. This is the brain of your voice AI - the prompts, business logic, and decision-making that determines what your agent says and does.

VoiceRun Agents

Code-first approach using Python or TypeScript. You own your agent's complete source code, can implement any business logic, integrate with any API, and version control everything like a software application. Full control over prompts, conversation flows, and decision trees.

Retell AI Agents

Retell provides a no-code dashboard for configuring single/multi-prompt agents and Conversation Flow agents with a visual node editor and reusable components. Logic is expressed as flows, prompts, tools, and webhooks rather than as application code in your own repo, which makes it fast for product teams to launch but means you don’t directly own the agent runtime the way you do with VoiceRun’s code-first agents shipped from your Git/CLI pipeline.

Detailed Agents Feature Comparison

FeatureVoiceRunRetell AI
Custom Business LogicBuilt-In (Out of the Box) - Write API calls, database lookups, routing, and business rules directly in code (Unlimited flexibility)Partially Built-In - Configured via dashboard, tools, and webhooks/APIs rather than in a codebase you own and deploy
Version Control IntegrationBuilt-In (Out of the Box) - Git workflows, CI/CD, code reviews (Enterprise development)Partially Built-In - Dashboard-level agent version history and draft/publish controls; no direct Git/CI integration
Complex Conversation FlowsBuilt-In (Out of the Box) - Build branching, stateful, and recovery paths directly in code across turnsPartially Built-In - Basic branching in a visual interface; limited compared to code-based orchestration
Custom API IntegrationsBuilt-In (Out of the Box) - Call external and internal REST/GraphQL APIs directly from your agent code; implement retries and failover patterns at the application layer (Any REST/GraphQL API)Built-In (Out of the Box) - Pre-built connectors and first-class webhooks/API tools for integrating external systems
Local Development & TestingBuilt-In (Out of the Box) - Run agents as normal code, add unit tests, and debug locally before deploying (Full dev environment)Not Available - Testing occurs in hosted playground and live calls; no documented local call emulator
Multi-Language SupportBuilt-In (Out of the Box) - Multi-voice and multi-language support via integrated STT/TTS providers, controlled programmaticallyBuilt-In (Out of the Box) - Supports many languages configured per agent in the dashboard

Tooling Comparison

The development experience, debugging capabilities, analytics, and operational tools that help you build, monitor, and optimize your voice agents effectively.

VoiceRun Tooling

Enterprise-grade development tools including CLI, SDKs, experimentation, analytics, debugging tools, and observability. Built-in A/B testing and LLM-powered evaluation systems for continuous optimization.

Retell AI Tooling

Retell focuses on dashboard-driven operations: you configure agents, monitor sessions, review history, and use post-call analysis and performance analytics to understand how calls perform. It’s strong for operations teams that live in the UI, but it doesn’t provide a dedicated CLI, local dev workflow, or a general-purpose experiment framework like VoiceRun’s built-in A/B tests and LLM evals.

Detailed Tooling Feature Comparison

FeatureVoiceRunRetell AI
Command Line InterfaceBuilt-In (Out of the Box) - Full CLI for deployment, testing, and management (Developer-first)Not Available - No dedicated CLI documented; usage is via dashboard, APIs, and SDKs
Built-in A/B TestingBuilt-In (Out of the Box) - Native experimentation platform for running and comparing agent variants (Optimize continuously)Partially Built-In - Performance analytics lets you compare agents and experiments in the dashboard; not a code-level experiment framework
Advanced AnalyticsBuilt-In (Out of the Box) - Experimentation and analytics with outcome measurement, powered by metrics and OpenTelemetry signalsBuilt-In (Out of the Box) - Post-call analytics and success metrics
LLM-Powered EvaluationsBuilt-In (Out of the Box) - LLM-powered integration tests and performance monitoring for voice agents (Scale quality assurance)Built-In (Out of the Box) - Post-call analysis uses AI to label, summarize, and score calls
Real-time DebuggingBuilt-In (Out of the Box) - Live conversation monitoring with logs, metrics, and traces for active sessionsBuilt-In (Out of the Box) - Session history, call logs, and latency metrics accessible in dashboard and APIs
Custom Metrics & EventsBuilt-In (Out of the Box) - Emit and track custom metrics and events for business and operational KPIs (Measure what matters)Partially Built-In - Custom post-call analysis categories and dashboards; not a general-purpose event instrumentation SDK
Multi-Environment SupportBuilt-In (Out of the Box) - Dev, staging, and production environments with versioned releases and promotion workflowsPartially Built-In - Workspace and agent versioning support draft vs published agents; no full multi-environment deployment workflow documented

Infrastructure Comparison

The underlying platform that handles telephony, audio processing, model orchestration, scaling, and reliability. This is the foundation that powers your voice agents at scale.

VoiceRun Infrastructure

Fully managed serverless infrastructure optimized for voice, with the option to self-host. Low-latency processing, automatic scaling, global telephony, model orchestration, and security features. Deploy in VoiceRun cloud, your VPC, or on-premises.

Retell AI Infrastructure

Retell runs as a fully managed cloud service with sub-second latency, telephony integrations, and plan-based concurrency (for example, 20 concurrent calls on pay-as-you-go, with higher limits on enterprise plans). It’s optimized for cloud deployments rather than customer-hosted VPC or on-prem, whereas VoiceRun can be deployed into your own infrastructure when you need stricter data residency and networking control.

Detailed Infrastructure Feature Comparison

FeatureVoiceRunRetell AI
Latency OptimizationBuilt-In (Out of the Box) - Ruthlessly optimized for low-latency voice processing with streaming STT/TTS and VAD (Voice-grade performance)Built-In (Out of the Box) - Managed cloud stack tuned for sub-second end-to-end latency
Global TelephonyBuilt-In (Out of the Box) - Provision phone numbers globally and route calls via managed carriers or BYO telephony (SIP/BYOT) (Global phone numbers)Built-In (Out of the Box) - Built-in telephony plus integrations like Twilio, Vonage, SIP, and toll-free/international numbers
Model OrchestrationBuilt-In (Out of the Box) - Hot-swap STT/TTS/LLM models and automatically fail over between providers when needed (Zero-downtime switching)Partially Built-In - Choice of multiple LLMs and voice engines at agent level; no general-purpose multi-provider orchestration layer
Auto-scalingBuilt-In (Out of the Box) - Serverless scaling from 0 to thousands of concurrent calls with horizontal auto-scaling policiesBuilt-In (Out of the Box) - Cloud concurrency scaled via plan limits and APIs; individual agents handle many calls concurrently within quota
Enterprise DeploymentBuilt-In (Out of the Box) - Deploy in managed cloud, your VPC, or on-premises data centers (Your infrastructure)Not Available - Offered as managed cloud only; VPC/on-prem deployment is not documented
Security & ComplianceBuilt-In (Out of the Box) - Encryption in transit and at rest, configurable data retention, PII redaction, data residency controls, and a roadmap to SOC 2 certification (Enterprise-focused security)Built-In (Out of the Box) - SOC 2 and HIPAA compliant with GDPR-aligned controls and optional PII redaction for transcripts and recordings
High AvailabilityBuilt-In (Out of the Box) - Redundancy across availability zones, auto-scaling, and reliability features targeting ≥99.9% uptimeBuilt-In (Out of the Box) - Marketed 99.99% uptime on managed cloud infrastructure with ongoing reliability improvements
Custom InfrastructureBuilt-In (Out of the Box) - Bring your own cloud (GCP, AWS, Azure), connect to private networks, and run in your VPC or data center (Complete control)Not Available - Shared multi-tenant cloud; no dedicated infrastructure or custom network topologies documented

Conclusion: Retell AI vs VoiceRun Comparison

VoiceRun Advantages: When evaluating Retell AI vs VoiceRun for enterprise voice AI development, VoiceRun offers compelling advantages for organizations requiring sophisticated capabilities.

VoiceRun's Key Advantages

  • Code Ownership: Full control over your voice agent logic with complete source code access
  • Performance: Low-latency infrastructure with voice-grade optimization
  • Flexibility: Custom business logic implementation using Python or TypeScript
  • Enterprise Features: On-premises deployment, VPC options, and hybrid cloud support
  • Developer Experience: CLI tools, SDKs, local testing, and version control integration
  • Advanced Analytics: Custom metrics, A/B testing, and LLM-powered evaluations and traces

Bottom Line: VoiceRun provides enterprise-grade infrastructure with developer-first tools, making it an optimal choice for companies that need advanced voice AI capabilities, custom integrations, and full control over their conversational experiences. VoiceRun excels in complex enterprise environments requiring sophistication and customization.

VoiceRun Platform Recommendations

Best for code ownership and custom business logic: VoiceRun offers complete source code control with Python and TypeScript implementation capabilities.

Best for enterprise deployment flexibility: VoiceRun supports cloud, on-premises, VPC, and hybrid deployment options.

Best for low-latency requirements: VoiceRun delivers optimized voice processing infrastructure designed specifically for real-time conversational AI.

Supported Industries

VoiceRun is suitable for voice AI implementations across numerous industries, including complex and regulated environments. Potential applications include:

Industry Applications

  • Restaurants & Hospitality - Reservation management, order taking, guest services, and concierge operations
  • Banking & Financial Services - Account inquiries, fraud detection, loan processing, and secure authentication
  • Insurance - Claims processing, policy inquiries, lead qualification, and risk assessment
  • Healthcare & Telemedicine - Appointment scheduling, patient intake, care coordination, and secure communications
  • Logistics & Transportation - Shipment tracking, delivery coordination, driver communication, and fleet management
  • Travel & Aviation - Booking management, flight rebooking, customer service, and travel assistance
  • Real Estate - Lead qualification, property inquiries, appointment scheduling, and client communication
  • Legal Services - Client intake, appointment scheduling, case management, and consultation coordination
  • Education - Student services, enrollment assistance, campus information, and administrative support
  • Retail & E-commerce - Order management, customer support, inventory inquiries, and sales assistance
  • Government & Public Services - Citizen services, information dissemination, appointment scheduling, and public assistance
  • Telecommunications - Technical support, service inquiries, billing assistance, and account management

VoiceRun provides enterprise deployment options including on-premises installations and custom security configurations for organizations with specific regulatory or security requirements.

Last updated: Dec 2024
Platform Comparison

VoiceRun vs Retell AI

VoiceRun is a full-stack, code-first platform for real-time voice automation. Retell offers a hosted, drag-and-drop builder for voice flows. This page explains when to choose a software-engineering approach over a visual IVR-style platform.

VoiceRun

Code-first serverless platform. You own your logic, we handle the infrastructure.

Full code ownership & customization
Serverless, auto-scaling infrastructure with managed and self-hosted options
Dashboard, CLI, and comprehensive development tools
A/B testing, LLM evaluations, and advanced tracing
Multi-voice and multi-language support via integrated providers
Unified telephony, audio, scaling, observability, and compliance
Flexible deployment: managed cloud, VPC, or fully self-hosted
Forward-deployed engineers for implementation and production support
Ruthlessly optimized for low-latency voice processing

Retell AI

Drag-and-drop voice AI platform with pre-built templates, multi-language support, and enterprise compliance features for standard, menu-like call flows.

No-code visual builder for phone agents
Telephony and CRM integrations plus webhook/API extensibility
Analytics dashboard and post-call analysis for monitoring call performance
HIPAA, SOC 2, and GDPR compliant

Agents

How you build and control your voice agent's behavior, logic, and conversation flows. This is the brain of your voice AI - the prompts, business logic, and decision-making that determines what your agent says and does.

VoiceRun

Code-first approach using Python or TypeScript. You own your agent's complete source code, can implement any business logic, integrate with any API, and version control everything like a software application. Full control over prompts, conversation flows, and decision trees.

Retell AI

Retell provides a no-code dashboard for configuring single/multi-prompt agents and Conversation Flow agents with a visual node editor and reusable components. Logic is expressed as flows, prompts, tools, and webhooks rather than as application code in your own repo, which makes it fast for product teams to launch but means you don’t directly own the agent runtime the way you do with VoiceRun’s code-first agents shipped from your Git/CLI pipeline.

Feature Comparison

Custom Business Logic

VoiceRun
Built-In (Out of the Box)

Write API calls, database lookups, routing, and business rules directly in code

Unlimited flexibility
Retell AI
Partially Built-In

Configured via dashboard, tools, and webhooks/APIs rather than in a codebase you own and deploy

Version Control Integration

VoiceRun
Built-In (Out of the Box)

Git workflows, CI/CD, code reviews

Enterprise development
Retell AI
Partially Built-In

Dashboard-level agent version history and draft/publish controls; no direct Git/CI integration

Complex Conversation Flows

VoiceRun
Built-In (Out of the Box)

Build branching, stateful, and recovery paths directly in code across turns

Retell AI
Partially Built-In

Basic branching in a visual interface; limited compared to code-based orchestration

Custom API Integrations

VoiceRun
Built-In (Out of the Box)

Call external and internal REST/GraphQL APIs directly from your agent code; implement retries and failover patterns at the application layer

Any REST/GraphQL API
Retell AI
Built-In (Out of the Box)

Pre-built connectors and first-class webhooks/API tools for integrating external systems

Local Development & Testing

VoiceRun
Built-In (Out of the Box)

Run agents as normal code, add unit tests, and debug locally before deploying

Full dev environment
Retell AI
Not Available

Testing occurs in hosted playground and live calls; no documented local call emulator

Multi-Language Support

VoiceRun
Built-In (Out of the Box)

Multi-voice and multi-language support via integrated STT/TTS providers, controlled programmatically

Retell AI
Built-In (Out of the Box)

Supports many languages configured per agent in the dashboard

Tooling

The development experience, debugging capabilities, analytics, and operational tools that help you build, monitor, and optimize your voice agents effectively.

VoiceRun

Enterprise-grade development tools including CLI, SDKs, experimentation, analytics, debugging tools, and observability. Built-in A/B testing and LLM-powered evaluation systems for continuous optimization.

Retell AI

Retell focuses on dashboard-driven operations: you configure agents, monitor sessions, review history, and use post-call analysis and performance analytics to understand how calls perform. It’s strong for operations teams that live in the UI, but it doesn’t provide a dedicated CLI, local dev workflow, or a general-purpose experiment framework like VoiceRun’s built-in A/B tests and LLM evals.

Feature Comparison

Command Line Interface

VoiceRun
Built-In (Out of the Box)

Full CLI for deployment, testing, and management

Developer-first
Retell AI
Not Available

No dedicated CLI documented; usage is via dashboard, APIs, and SDKs

Built-in A/B Testing

VoiceRun
Built-In (Out of the Box)

Native experimentation platform for running and comparing agent variants

Optimize continuously
Retell AI
Partially Built-In

Performance analytics lets you compare agents and experiments in the dashboard; not a code-level experiment framework

Advanced Analytics

VoiceRun
Built-In (Out of the Box)

Experimentation and analytics with outcome measurement, powered by metrics and OpenTelemetry signals

Retell AI
Built-In (Out of the Box)

Post-call analytics and success metrics

LLM-Powered Evaluations

VoiceRun
Built-In (Out of the Box)

LLM-powered integration tests and performance monitoring for voice agents

Scale quality assurance
Retell AI
Built-In (Out of the Box)

Post-call analysis uses AI to label, summarize, and score calls

Real-time Debugging

VoiceRun
Built-In (Out of the Box)

Live conversation monitoring with logs, metrics, and traces for active sessions

Retell AI
Built-In (Out of the Box)

Session history, call logs, and latency metrics accessible in dashboard and APIs

Custom Metrics & Events

VoiceRun
Built-In (Out of the Box)

Emit and track custom metrics and events for business and operational KPIs

Measure what matters
Retell AI
Partially Built-In

Custom post-call analysis categories and dashboards; not a general-purpose event instrumentation SDK

Multi-Environment Support

VoiceRun
Built-In (Out of the Box)

Dev, staging, and production environments with versioned releases and promotion workflows

Retell AI
Partially Built-In

Workspace and agent versioning support draft vs published agents; no full multi-environment deployment workflow documented

Infrastructure

The underlying platform that handles telephony, audio processing, model orchestration, scaling, and reliability. This is the foundation that powers your voice agents at scale.

VoiceRun

Fully managed serverless infrastructure optimized for voice, with the option to self-host. Low-latency processing, automatic scaling, global telephony, model orchestration, and security features. Deploy in VoiceRun cloud, your VPC, or on-premises.

Retell AI

Retell runs as a fully managed cloud service with sub-second latency, telephony integrations, and plan-based concurrency (for example, 20 concurrent calls on pay-as-you-go, with higher limits on enterprise plans). It’s optimized for cloud deployments rather than customer-hosted VPC or on-prem, whereas VoiceRun can be deployed into your own infrastructure when you need stricter data residency and networking control.

Feature Comparison

Latency Optimization

VoiceRun
Built-In (Out of the Box)

Ruthlessly optimized for low-latency voice processing with streaming STT/TTS and VAD

Voice-grade performance
Retell AI
Built-In (Out of the Box)

Managed cloud stack tuned for sub-second end-to-end latency

Global Telephony

VoiceRun
Built-In (Out of the Box)

Provision phone numbers globally and route calls via managed carriers or BYO telephony (SIP/BYOT)

Global phone numbers
Retell AI
Built-In (Out of the Box)

Built-in telephony plus integrations like Twilio, Vonage, SIP, and toll-free/international numbers

Model Orchestration

VoiceRun
Built-In (Out of the Box)

Hot-swap STT/TTS/LLM models and automatically fail over between providers when needed

Zero-downtime switching
Retell AI
Partially Built-In

Choice of multiple LLMs and voice engines at agent level; no general-purpose multi-provider orchestration layer

Auto-scaling

VoiceRun
Built-In (Out of the Box)

Serverless scaling from 0 to thousands of concurrent calls with horizontal auto-scaling policies

Retell AI
Built-In (Out of the Box)

Cloud concurrency scaled via plan limits and APIs; individual agents handle many calls concurrently within quota

Enterprise Deployment

VoiceRun
Built-In (Out of the Box)

Deploy in managed cloud, your VPC, or on-premises data centers

Your infrastructure
Retell AI
Not Available

Offered as managed cloud only; VPC/on-prem deployment is not documented

Security & Compliance

VoiceRun
Built-In (Out of the Box)

Encryption in transit and at rest, configurable data retention, PII redaction, data residency controls, and a roadmap to SOC 2 certification

Enterprise-focused security
Retell AI
Built-In (Out of the Box)

SOC 2 and HIPAA compliant with GDPR-aligned controls and optional PII redaction for transcripts and recordings

High Availability

VoiceRun
Built-In (Out of the Box)

Redundancy across availability zones, auto-scaling, and reliability features targeting ≥99.9% uptime

Retell AI
Built-In (Out of the Box)

Marketed 99.99% uptime on managed cloud infrastructure with ongoing reliability improvements

Custom Infrastructure

VoiceRun
Built-In (Out of the Box)

Bring your own cloud (GCP, AWS, Azure), connect to private networks, and run in your VPC or data center

Complete control
Retell AI
Not Available

Shared multi-tenant cloud; no dedicated infrastructure or custom network topologies documented

Ready to see VoiceRun in action?

Get a personalized demo and see how VoiceRun's code-first platform can transform your voice AI capabilities.

Why VoiceRun Is Different
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VoiceRun is a code-first voice agent platform for teams that need full control over behavior, performance, and deployment. Instead of configuring agents only through dashboards or general-purpose communication frameworks, VoiceRun lets you build agents as real applications in Python or TypeScript, run them locally, ship them through Git-based workflows, and deploy them to managed cloud or your own infrastructure.

This model provides end-to-end ownership over prompts, business logic, integrations, and observability, while still giving you serverless scaling, built-in experimentation, and managed voice infrastructure.

Who VoiceRun and Retell Are Best For
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VoiceRun is ideal for teams that:

  • Engineering teams that want voice agents to behave like real software: with branching logic, memory, API calls, and recovery behavior expressed directly in code
  • Enterprises that need version control, CI/CD, testing, telemetry, and lifecycle management for voice just like any other critical application
  • Organizations that want to avoid building their own real-time voice stack while still keeping full control over prompts, workflows, and integrations
  • Teams replacing brittle IVRs or legacy conversational systems that cannot handle complex, multi-step customer journeys

Retell is ideal for teams that:

  • Teams that prefer configuring voice flows through a hosted drag-and-drop dashboard instead of writing code
  • Use cases where call intent is fairly predictable and can be captured in straightforward menu-like flows
  • Organizations that are comfortable with a fully managed, cloud-hosted environment where the vendor owns the execution runtime
  • Scenarios where speed to a simple proof-of-concept matters more than long-term flexibility or code-level control
Key Technical & Engineering Differences
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  • VoiceRun provides a full real-time voice stack — audio streaming, latency management, turn-taking, model routing, observability, and telephony — so teams focus on business logic. Retell exposes a hosted flow builder where these concerns are abstracted behind a dashboard.
  • VoiceRun agents run as code you own in Python or TypeScript, with branching logic, memory, and API calls defined in software. Retell agents are configured in a visual interface and executed in Retell's environment.
  • VoiceRun supports local development, unit tests, CI/CD, and OpenTelemetry-based tracing. Retell is configured and tested primarily in a hosted UI with platform logs and analytics.
  • VoiceRun includes built-in experimentation and LLM-powered evaluations designed for production automation. Retell does not provide a native A/B experimentation framework for voice agents.
  • VoiceRun can run in managed cloud, your VPC, or on-premises. Retell is a cloud-hosted service where the runtime and infrastructure remain managed by Retell.
AreaVoiceRunRetell
Development modelCode-first agents in Python/TypeScript with full access to logic, state, and integrationsNo-code / low-code flows configured in a dashboard with platform-defined capabilities
Local developmentRun agents, tests, and simulations locally before deployment, integrated with existing dev workflowsFlows are created and tested in Retell's hosted environment
Custom logic & APIsArbitrary business logic, external API calls, and structured workflows implemented directly in codeCustomization through prompts, configuration options, and webhooks attached to flow nodes
Deployment controlManaged cloud, VPC, or self-hosted deployment with full control over where runtime executesCloud-hosted only; execution remains in Retell's managed environment
Why Teams Choose VoiceRun
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  • Full code ownership of agents, logic, and integrations
  • Local development, Git workflows, and CI/CD support
  • Built-in A/B testing and LLM-based evaluations
  • Unified telephony, audio, model orchestration, and observability
  • Deployment flexibility across managed cloud, VPC, and on-premises
  • Low-latency runtime designed specifically for real-time voice interactions
Frequently Asked Questions: VoiceRun vs Retell
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Why would an engineering team choose VoiceRun over a drag-and-drop platform like Retell?

VoiceRun is designed for teams that treat voice automation as software. Agents are written as code, live in your repositories, and participate in your existing testing, review, and deployment workflows. This enables complex logic, deep integrations, and lifecycle management that are difficult to express in a dashboard-only model.

Is an LLM and a flow builder enough to run real-time voice at scale?

An LLM and a visual builder can be enough for simple demos or narrow use cases, but production voice requires more: audio latency control, turn-taking, telephony behavior, safety, observability, fallbacks, and integration with backend systems. VoiceRun provides this full stack so teams do not need to build or maintain their own real-time voice infrastructure.

Can VoiceRun be deployed in our own VPC or on-premises while Retell cannot?

Yes. VoiceRun supports deployment to managed cloud, your VPC, or on-premises environments. Retell is offered as a cloud-hosted service where the execution environment remains managed by Retell.

Does VoiceRun replace IVRs and legacy conversational AI systems?

VoiceRun is built to replace brittle IVRs and intent-based systems with real-time, code-driven agents. It allows callers to speak naturally while your agents execute structured workflows, call external systems, and handle complex, multi-step tasks with the reliability and lifecycle management of modern software.

Compare VoiceRun to other platforms