VoiceRun vs LiveKit - Voice AI Platform Comparison

Comprehensive comparison between VoiceRun and LiveKit 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

LiveKit Overview

Open-source real-time communications platform with SDKs for audio, video, and AI agents, plus SIP telephony integration and cloud hosting.

LiveKit Key Features:

  • Open-source real-time communication framework
  • Used for building voice, video, and agent applications
  • Community-driven development model
  • SIP telephony integration available
  • General RTC platform capabilities

Quick Comparison Summary

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

Choose LiveKit 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.

LiveKit Agents

LiveKit is a general-purpose real-time communication framework that supports voice AI among many other use cases. LiveKit supplies the communication and media infrastructure, while VoiceRun provides a purpose-built voice AI runtime with integrated orchestration, optimization, and enterprise deployment capabilities.

Detailed Agents Feature Comparison

FeatureVoiceRunLiveKit
Custom Business LogicBuilt-In (Out of the Box) - Write API calls, database lookups, routing, and business rules directly in code (Unlimited flexibility)Built-In (Out of the Box) - Implemented in user-written code using SDKs and server logic
Version Control IntegrationBuilt-In (Out of the Box) - Git workflows, CI/CD, code reviews (Enterprise development)Built-In (Out of the Box) - Code-based development follows standard Git workflows
Complex Conversation FlowsBuilt-In (Out of the Box) - Build branching, stateful, and recovery paths directly in code across turnsBuilt-In (Out of the Box) - Flows implemented through application code and custom 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) - Handled through user-managed backend services
Local Development & TestingBuilt-In (Out of the Box) - Run agents as normal code, add unit tests, and debug locally before deploying (Full dev environment)Built-In (Out of the Box) - Local development supported through SDKs and self-hosted options
Multi-Language SupportBuilt-In (Out of the Box) - Multi-voice and multi-language support via integrated STT/TTS providers, controlled programmaticallyRequires Custom Development - Language support depends on developer-selected STT/TTS providers

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.

LiveKit Tooling

LiveKit provides SDKs, APIs, and monitoring dashboards for real-time media applications. It does not include voice-AI–specific evaluation, experimentation, or optimization tooling; those areas are implemented by developers using their own infrastructure or third-party services.

Detailed Tooling Feature Comparison

FeatureVoiceRunLiveKit
Command Line InterfaceBuilt-In (Out of the Box) - Full CLI for deployment, testing, and management (Developer-first)Built-In (Out of the Box) - CLI tools available for project and infrastructure management
Built-in A/B TestingBuilt-In (Out of the Box) - Native experimentation platform for running and comparing agent variants (Optimize continuously)Requires Custom Development - No native A/B testing; requires developer-implemented workflows
Advanced AnalyticsBuilt-In (Out of the Box) - Experimentation and analytics with outcome measurement, powered by metrics and OpenTelemetry signalsRequires Custom Development - Provides usage metrics; application-specific analytics require custom setup
LLM-Powered EvaluationsBuilt-In (Out of the Box) - LLM-powered integration tests and performance monitoring for voice agents (Scale quality assurance)Requires Custom Development - No built-in evaluation suite; developers implement quality checks
Real-time DebuggingBuilt-In (Out of the Box) - Live conversation monitoring with logs, metrics, and traces for active sessionsRequires Custom Development - Provides observability for media events; application debugging is custom
Custom Metrics & EventsBuilt-In (Out of the Box) - Emit and track custom metrics and events for business and operational KPIs (Measure what matters)Built-In (Out of the Box) - Custom event tracking implemented through application code
Multi-Environment SupportBuilt-In (Out of the Box) - Dev, staging, and production environments with versioned releases and promotion workflowsBuilt-In (Out of the Box) - Supports multiple environments through self-hosted or cloud deployments

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.

LiveKit Infrastructure

LiveKit provides real-time communication infrastructure through open-source components and LiveKit Cloud. It includes global media server infrastructure and SIP support. LiveKit is designed as a general-purpose RTC platform rather than a dedicated voice AI system, and specialized voice-AI behaviors are implemented by developers.

Detailed Infrastructure Feature Comparison

FeatureVoiceRunLiveKit
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) - Low-latency media infrastructure with global server options
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) - SIP integrations supported; telephony capabilities depend on third-party carriers
Model OrchestrationBuilt-In (Out of the Box) - Hot-swap STT/TTS/LLM models and automatically fail over between providers when needed (Zero-downtime switching)Requires Custom Development - No native orchestration; developers integrate STT, LLM, and TTS providers
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) - Scaling supported through LiveKit Cloud or self-managed clusters
Enterprise DeploymentBuilt-In (Out of the Box) - Deploy in managed cloud, your VPC, or on-premises data centers (Your infrastructure)Built-In (Out of the Box) - Available as both a managed cloud service and a self-hosted open-source stack
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) - Compliance information documented for LiveKit Cloud
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) - High availability supported through distributed infrastructure
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)Built-In (Out of the Box) - Open-source architecture supports customization and self-hosted infrastructure control

Conclusion: LiveKit vs VoiceRun Comparison

VoiceRun Advantages: When evaluating LiveKit 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 LiveKit

LiveKit is a general-purpose real-time communications framework that can power many use cases, including voice AI. VoiceRun is a focused, full-stack platform for automating phone conversations. This page explains when teams choose a purpose-built voice infrastructure layer instead of assembling their own stack on top of LiveKit.

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

LiveKit

Open-source real-time communications platform with SDKs for audio, video, and AI agents, plus SIP telephony integration and cloud hosting.

Open-source real-time communication framework
Used for building voice, video, and agent applications
Community-driven development model
SIP telephony integration available
General RTC platform capabilities

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.

LiveKit

LiveKit is a general-purpose real-time communication framework that supports voice AI among many other use cases. LiveKit supplies the communication and media infrastructure, while VoiceRun provides a purpose-built voice AI runtime with integrated orchestration, optimization, and enterprise deployment capabilities.

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
LiveKit
Built-In (Out of the Box)

Implemented in user-written code using SDKs and server logic

Version Control Integration

VoiceRun
Built-In (Out of the Box)

Git workflows, CI/CD, code reviews

Enterprise development
LiveKit
Built-In (Out of the Box)

Code-based development follows standard Git workflows

Complex Conversation Flows

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Built-In (Out of the Box)

Flows implemented through application code and custom 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
LiveKit
Built-In (Out of the Box)

Handled through user-managed backend services

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
LiveKit
Built-In (Out of the Box)

Local development supported through SDKs and self-hosted options

Multi-Language Support

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Requires Custom Development

Language support depends on developer-selected STT/TTS providers

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.

LiveKit

LiveKit provides SDKs, APIs, and monitoring dashboards for real-time media applications. It does not include voice-AI–specific evaluation, experimentation, or optimization tooling; those areas are implemented by developers using their own infrastructure or third-party services.

Feature Comparison

Command Line Interface

VoiceRun
Built-In (Out of the Box)

Full CLI for deployment, testing, and management

Developer-first
LiveKit
Built-In (Out of the Box)

CLI tools available for project and infrastructure management

Built-in A/B Testing

VoiceRun
Built-In (Out of the Box)

Native experimentation platform for running and comparing agent variants

Optimize continuously
LiveKit
Requires Custom Development

No native A/B testing; requires developer-implemented workflows

Advanced Analytics

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Requires Custom Development

Provides usage metrics; application-specific analytics require custom setup

LLM-Powered Evaluations

VoiceRun
Built-In (Out of the Box)

LLM-powered integration tests and performance monitoring for voice agents

Scale quality assurance
LiveKit
Requires Custom Development

No built-in evaluation suite; developers implement quality checks

Real-time Debugging

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Requires Custom Development

Provides observability for media events; application debugging is custom

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
LiveKit
Built-In (Out of the Box)

Custom event tracking implemented through application code

Multi-Environment Support

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Built-In (Out of the Box)

Supports multiple environments through self-hosted or cloud deployments

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.

LiveKit

LiveKit provides real-time communication infrastructure through open-source components and LiveKit Cloud. It includes global media server infrastructure and SIP support. LiveKit is designed as a general-purpose RTC platform rather than a dedicated voice AI system, and specialized voice-AI behaviors are implemented by developers.

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
LiveKit
Built-In (Out of the Box)

Low-latency media infrastructure with global server options

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
LiveKit
Built-In (Out of the Box)

SIP integrations supported; telephony capabilities depend on third-party carriers

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
LiveKit
Requires Custom Development

No native orchestration; developers integrate STT, LLM, and TTS providers

Auto-scaling

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Built-In (Out of the Box)

Scaling supported through LiveKit Cloud or self-managed clusters

Enterprise Deployment

VoiceRun
Built-In (Out of the Box)

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

Your infrastructure
LiveKit
Built-In (Out of the Box)

Available as both a managed cloud service and a self-hosted open-source stack

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
LiveKit
Built-In (Out of the Box)

Compliance information documented for LiveKit Cloud

High Availability

VoiceRun
Built-In (Out of the Box)

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

LiveKit
Built-In (Out of the Box)

High availability supported through distributed infrastructure

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
LiveKit
Built-In (Out of the Box)

Open-source architecture supports customization and self-hosted infrastructure control

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
Show

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 LiveKit Are Best For
Show

VoiceRun is ideal for teams that:

  • Teams that specifically want to automate phone calls and conversational workflows, not build a general RTC layer
  • Organizations that prefer a managed voice infrastructure with built-in telephony, model orchestration, analytics, and experimentation
  • Enterprises that want engineering focus on business logic, not on operating WebRTC/SIP infrastructure and AI streaming pipelines
  • Companies migrating off IVRs and legacy voice systems and standardizing on a platform designed for voice AI agents out of the box

LiveKit is ideal for teams that:

  • Teams that want a flexible, open-source real-time communications foundation for many modalities (voice, video, data)
  • Organizations with in-house expertise to operate WebRTC, SIP, and AI infrastructure and that want to deeply customize their stack
  • Use cases where voice AI is one of many interactive media experiences built on the same transport layer
  • Developers who want low-level control over rooms, participants, and media streams and are comfortable building voice agent tooling on top
Key Technical & Engineering Differences
Show
  • LiveKit provides real-time media transport (WebRTC and SIP) and an agents framework that can be used to build voice AI. VoiceRun provides a complete voice AI platform including telephony, audio stack, model orchestration, analytics, and deployment options.
  • With LiveKit, teams assemble their own analytics, experimentation, and quality tooling on top of the media layer. VoiceRun ships these capabilities as part of the product, tuned specifically for phone-based automation.
  • LiveKit is designed to support many use cases (conferencing, streaming, agents) with broad SDK coverage. VoiceRun is specialized for real-time phone conversations and the workflows surrounding them.
  • LiveKit can be self-hosted or used via LiveKit Cloud, with teams responsible for building much of the application layer. VoiceRun focuses that application layer on voice agents, so teams spend more time on prompts, logic, and integrations rather than infrastructure wiring.
AreaVoiceRunLiveKit
Development modelCode-first voice agents with a dedicated runtime and tooling for phone callsGeneral-purpose real-time SDKs and agents framework used to build many types of applications
Local developmentLocal agent development with a consistent voice-focused runtime and observabilityLocal development using LiveKit SDKs and your own application stack and tooling
Custom logic & APIsBusiness logic and integrations implemented directly in agent code with voice-specific abstractionsCustom logic written on top of LiveKit’s transport and agents primitives in your own services
Deployment controlManaged cloud, VPC, or on-prem deployments focused on voice automation workloadsSelf-hosted or LiveKit Cloud deployments where you design the surrounding application architecture
Why Teams Choose VoiceRun
Show
  • 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 LiveKit
Show

Is LiveKit a competitor to VoiceRun or a lower-level building block?

LiveKit is primarily a real-time communications platform and can be a building block for voice AI systems. VoiceRun sits at a higher layer, providing a full voice automation platform on top of telephony and audio infrastructure. Some teams could pair LiveKit with their own tools; others choose VoiceRun to get that layer as a product.

Why would a team choose VoiceRun instead of building directly on LiveKit?

Building on LiveKit requires additional work around telephony workflows, analytics, model orchestration, experimentation, and operational tooling. VoiceRun provides these as part of the platform so teams can concentrate on their agents’ behavior and business outcomes.

When might LiveKit be the better choice?

LiveKit is a strong fit when you need a general RTC platform for audio, video, and data, or when your team wants maximum flexibility across many real-time use cases. VoiceRun is better suited when your main goal is to operate production voice agents with a dedicated platform.

Can VoiceRun and LiveKit be used together?

In some architectures, LiveKit can provide real-time transport for a variety of experiences while VoiceRun focuses specifically on phone-based automation and voice AI workloads. The right design depends on how broadly you are using real-time audio and video in your products.

Compare VoiceRun to other platforms