20 years in custom development, 600+ projects delivered & hands-on experience in end-to-end LiveKit integration to make your software fast, scalable, and interactive.
We develop with LiveKit to add real-time video, audio, and AI features to your app. Video chats, live streams, or smart voice agents — built for growth, not just functionality.
No matter the size or complexity of your project, we’ll take it on and get it done. No excuses.
High-quality video and audio calls – from 1-on-1 chats to large sessions. Includes screen sharing, recording, blur, and noise reduction.
Smart AI voice agents and live transcription. Powered by LiveKit Agents Framework with Deepgram, OpenAI, or ElevenLabs.
Built to grow with you. Choose LiveKit Cloud or self-hosting. Includes scaling, monitoring, and full security (E2E encryption, JWT, HIPAA/GDPR).
LiveKit is a real-time communication platform that handles audio, video, and data streaming with low latency. We use it as the core media layer inside your product.
Here’s how a typical LiveKit-based app works:
A user opens your app and connects to a LiveKit room using a secure token. This room manages who can publish audio/video and who can subscribe.
The user’s device captures microphone, camera, or screen. LiveKit sends this media in real time using WebRTC with adaptive bitrate and network optimization.
LiveKit’s SFU (Selective Forwarding Unit) routes media streams efficiently between participants. This allows large calls or live sessions without sending separate streams to every user.
We add features like:
Audio or video streams can be sent to AI services for live transcription, translation, voice bots, or computer vision tasks – all while the session is running.
Your backend handles user accounts, permissions, payments, scheduling, and business logic while LiveKit focuses on real-time media.
Result: stable, low-latency communication that works across browsers, mobile devices, and changing network conditions.
Our LiveKit architecture is modular and designed for performance, reliability, and future growth.
A typical LiveKit-based system includes the following layers:
Result: This structure lets your LiveKit system support everything from small private calls to large public sessions.
Web, iOS, Android, or desktop apps built with LiveKit SDKs. These manage media capture, playback, and in-room controls.
The core real-time layer.
Handles room management, participant connections, and SFU-based media routing. Can run on LiveKit Cloud or self-hosted infrastructure.
Your backend issues secure JWT tokens and controls access to rooms, roles (host, viewer, agent), and session limits.
Optional services connected to media streams:
Business logic, databases, user profiles, payments, notifications, and third-party integrations.
Metrics, logs, and alerts track room quality, packet loss, server load, and user behavior. Infrastructure runs on AWS, GCP, or Azure with autoscaling and failover.
LiveKit is not just for human-to-human calls. We use it to connect AI agents directly into live audio and video sessions.
How AI Agents Join a LiveKit Room
An AI agent connects as a participant, just like a user. It can listen to audio, speak using TTS, and react in real time.
What AI Agents Can Do:
Voice Pipeline
Audio from the room → Speech-to-Text → AI model (reasoning) → Text-to-Speech → back into the LiveKit room as voice.
Because LiveKit handles low-latency audio streaming, conversations with AI agents feel natural instead of delayed and robotic.
This setup is ideal for AI customer support, voice copilots, and interactive virtual assistants inside live calls.
Real-time systems fail when they are not built for growth. We design LiveKit infrastructure to scale from day one.
LiveKit servers can run in multiple regions and automatically distribute rooms and participants across nodes to prevent overload.
We configure cloud autoscaling so new media servers launch during traffic spikes and shut down when load drops.
For international apps, we deploy servers close to users to reduce latency and improve call quality.
Traffic is balanced across servers. If a node fails, sessions reconnect quickly without full system downtime.
Because SFU forwards streams instead of mixing them, bandwidth and CPU usage stay predictable even as participant counts grow.
We track packet loss, jitter, bitrate, and server CPU in real time. This allows proactive scaling before users feel problems.
Result: a LiveKit platform that can grow from dozens to thousands of concurrent users without a full rebuild.
LiveKit fits any product that needs embedded real-time communication.
If your app needs real-time video, audio, or AI inside live sessions, LiveKit is a powerful foundation – and we build the full system around it.
Custom LiveKit apps & end-to-end integration services for every case. Secure, scalable, and packed with smart features.
Have an idea? We’ll turn it into a working app – from design and backend to launch and support.
Got a product that needs more speed, stability, or features? We’ll make it stronger and ready to scale.
Struggling with unfinished or broken code? We’ll step in, clean it up, and get your project back on track.
LiveKit Update 💡
We improve your current LiveKit setup for better stability, speed, and scalability.
~$2,400
from 1 week
LiveKit MVP 🚀
We build a functional first version app with core LiveKit features like calls or streaming.
~$8,000
from 1 month
LiveKit Pro 🏢
Full-scale LiveKit app with advanced streaming, AI, and custom integrations.
~$24,000
from 3 months
Perfecting LiveKit and real-time apps since 2005. From Nucleus enterprise chat to VOLO live translation — we’ve shipped real-time apps trusted by thousands of users.
Senior developers, QA, UI/UX, analytics – all in-house. No outsourcing, no handoffs. We think like product owners, not just coders.
Over 600 completed projects, 100% Upwork Success rate, and 400+ client reviews. Trusted by startups and enterprises across 30+ countries.
Quick answers about LiveKit development costs, timelines, AI integration, and hosting options
Video conferencing, live streaming, telehealth platforms, AI voice assistants, virtual classrooms, live shopping, and in-app communication for marketplaces. Every solution is fully custom-built for your business.
Yes. We specialize in integrating LiveKit into existing platforms — adding real-time video, audio, or AI agents without disrupting your current architecture or user experience.
Updates and integrations take about 1 week. MVPs with core LiveKit features launch in about 1 month. Full-scale apps with AI, streaming, and custom integrations take 3+ months.
Yes. We configure both LiveKit Cloud (managed hosting) and self-hosted setups on AWS, Google Cloud, or Azure — with autoscaling, monitoring, and full security compliance (HIPAA, GDPR, E2E encryption).
