LiveKit Development & Integration Services

Partner with Sheerbit, a leader in VoIP development, to create scalable, secure, and fully customized LiveKit-powered solutions tailored to your specific needs. From mobile app integration to AI-driven voice capabilities and full-stack real-time infrastructure, Sheerbit’s expert team is ready to help you design and deploy your next-generation communication platform.

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Our LiveKit Service

Sheerbit delivers expert LiveKit services for scalable WebRTC development, enabling real-time audio, video, and data communication across web and mobile platforms. Our solutions leverage LiveKit’s open-source infrastructure and SDKs to build secure, low-latency, production-ready applications with advanced features like AI integration, encryption, and multi-party conferencing. Whether deploying LiveKit Cloud or self-hosted servers, we tailor services to drive seamless user experiences and rapid time-to-market for real-time collaboration and communication apps.

Custom LiveKit Server Setup & Deployment

We provide full installation and deployment of LiveKit servers tailored to your business infrastructure, ensuring a scalable and reliable platform for real-time communication. Our setup includes cloud or on-premises options to meet your security and performance needs.

SDK Integration & Customization

Our team integrates LiveKit SDKs seamlessly into your web, iOS, Android, Flutter, React Native, or Unity applications. We customize the UI/UX and add features to match your unique user engagement goals and business requirements.

Real-Time Voice & Video Communication Solutions

Build high-quality, low-latency voice and video applications such as conferencing, live streaming, and collaborative tools. With LiveKit’s robust infrastructure, experience secure and smooth communication tailored to your audience.

AI-Powered Voice & Video Agents

Develop intelligent AI agents capable of real-time voice and video interactions using LiveKit’s Agents framework. Enable advanced features like speech recognition, natural language processing, and automated workflows to enhance user experience.

Telephony (SIP) Integration

Bridge traditional telephony networks with digital communication platforms through SIP integration. This service enables seamless inbound and outbound calls between phone lines and LiveKit sessions, enhancing connectivity and reach.

Media Ingress, Egress & Recording Services

Capture, ingest, and export live streams with support for RTMP, WHIP, and HLS. Our solutions include multi-stream recording, real-time playback, and media management to optimize your content delivery workflows.

Features of LiveKit Solutions

Scalable Real-Time Communication

LiveKit provides a scalable, distributed WebRTC-based platform that supports millions of concurrent voice and video calls with low latency and high reliability.

Open-Source & Flexible Deployment

LiveKit is open-source under Apache License 2.0 with no vendor lock-in, allowing deployment either as a fully managed cloud service or self-hosted on your own infrastructure.

Comprehensive SDKs

Offers full-featured SDKs for web, iOS, Android, Flutter, React Native, Unity, and backend, enabling seamless integration across multiple platforms with consistent APIs.

Secure & Private

End-to-end media encryption, HIPAA compliance, and robust authentication ensure privacy and security throughout the communication sessions.

AI-Native Framework

Supports building real-time multimodal AI agents with advanced voice and video processing powered by integrations with top AI providers.

Telephony & Media Ingress/Egress

Includes SIP telephony integration for seamless call bridging and supports media ingestion from external streams plus recording and exporting multi-stream media

LiveKit Server Requirements & Architecture

Supported LiveKit Versions

Operating System: Linux-based OS like Ubuntu, Debian, or containerized environments.

CPU: At least 4 CPUs per Ingress instance; 2-6 cores recommended depending on video transcoding needs. Production setups benefit from multi-core processors (Intel Xeon/AMD Ryzen).

Memory: Minimum 4 GB RAM per Ingress instance; 8-16 GB recommended for high concurrency.

Storage: Fast SSD storage if recording or media ingestion is enabled.

Network: High bandwidth (1 Gbps or preferably 10 Gbps ethernet) with low latency. UDP port 7885 open if WHIP support is enabled.

Dependencies: Docker, Kubernetes, Redis recommended for scalable, reliable deployment.

Livekit SDK Integration & Customization

The latest stable LiveKit server versions are recommended for optimal performance and security.

Backward compatibility for gradual upgrades is supported.

Client SDKs including Web, iOS, Android, Flutter, React Native, Unity are compatible with the recent server versions.

Long-term support options may be available for enterprise users.

LiveKit Deployment Architectures

Self-Hosted Virtual Machines: Deploy LiveKit on cloud VMs (AWS, GCP, Azure) or on-premises hardware for full control.

Containerized Deployments: Use Docker or Kubernetes for orchestrated, scalable deployments enabling autoscaling and load balancing.

Managed Cloud Hosting: Utilize LiveKit Cloud, a fully managed global service with automatic scaling and reliability.

Hybrid Setups: Combine cloud and on-premises deployments for security, compliance, or performance needs.

Edge Deployments: Distribute instances closer to user locations to minimize latency with regional edge servers.

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AI Agents and Voice Bot Integration with LiveKit: How Sheerbit Can Help

LiveKit Setup and SDK Customization

Sheerbit manages complete installation and configuration of LiveKit servers and SDKs across platforms like web, iOS, Android, Flutter, and Unity. They tailor and extend SDKs to integrate real-time audio, video, and data streams into existing apps, ensuring smooth connectivity and user experience.

AI Agent and Voice Bot Development

Leveraging LiveKit’s Agents framework, Sheerbit designs intelligent voice and chat bots using speech-to-text (STT), text-to-speech (TTS), and large language models (LLMs) like GPT-4. These agents interact naturally in LiveKit sessions, providing automated assistance, moderation, or conversation capabilities.

Multi-Modal AI Integration

Sheerbit integrates multi-modal AI capabilities that analyze audio, video, and text streams in real-time. This includes emotion recognition, speaker identification, gesture detection, and contextual AI that enhances interactivity and personalization within LiveKit-powered applications.

Scalable Backend Architecture

They architect scalable backend systems on cloud or on-premises infrastructures to support thousands of concurrent users and AI workloads alongside LiveKit media servers, ensuring low latency and high availability with technologies like Kubernetes and Redis.

Security and Compliance Implementation

Sheerbit implements security best practices such as end-to-end encryption, secure API keys management, and GDPR/HIPAA compliance workflows to protect user data in sensitive sectors like healthcare, finance, and education during AI-enhanced LiveKit communications.

Consulting and Ongoing Support

They provide end-to-end project consulting, from initial feasibility studies and solution design to development, deployment, and continuous maintenance. Ongoing support includes performance tuning, feature enhancements, and adapting to evolving AI and WebRTC technologies.

Schedule a Call with our LiveKit Experts

Frequently Asked Questions

LiveKit is an open-source platform that leverages WebRTC to provide low-latency real-time audio and video communication. It manages media streaming through an SFU (Selective Forwarding Unit) to efficiently route media without re-encoding, ensuring scalability and performance.
Start by deploying the LiveKit server either self-hosted or using LiveKit Cloud. Then integrate the appropriate client SDKs (JavaScript, Swift, Android, Flutter, etc.) in your app to connect and manage media streams.
Yes, LiveKit supports horizontal scaling via Redis and Kubernetes and uses simulcast and adaptive streaming techniques to optimize bandwidth and maintain quality even with many participants.
LiveKit offers SDKs for web (JavaScript, React), iOS (Swift), Android (Kotlin), Flutter, React Native, Unity, and backend languages like Rust and Go.
LiveKit uses end-to-end encryption for media streams, secure token-based authentication, and fine-grained control over audio/video tracks to ensure privacy and data security during communications.
Typical use cases include video conferencing, telehealth, virtual classrooms, live streaming events, online gaming, and interactive collaboration tools.
LiveKit abstracts the intricate WebRTC signaling and media routing complexity with its server architecture and SDKs, accelerating development while giving full customization control.
Yes, LiveKit supports custom UI components, server-side extensions like speech-to-text, advanced moderation, recording, and more to tailor the communication experience.
Simulcast allows multiple video resolutions to be sent simultaneously, and adaptive streaming dynamically adjusts video quality and bandwidth use based on network conditions and UI visibility, enhancing performance.
Community support is available via open-source channels, and commercial support with custom development, maintenance, and scaling assistance can be provided by specialized service partners.