WebRTC Development Services for Production Video, Audio & AI Apps

Custom WebRTC apps for real-time video, audio and data streaming on mediasoup, LiveKit, Janus and Pion. P2P, SFU and MCU patterns. Sub-300 ms latency, multi-region SFU, HIPAA and SOC 2.
Fora Soft — 625+ real-time products shipped since 2005, including BrainCert (500M+ minutes), Nucleus (600M+ call minutes / month, HIPAA + HITRUST) and TransLinguist (NHS UK).

Custom WebRTC Development Services That Work at Scale

We design & develop end-to-end WebRTC solutions: live video apps and video & audio streaming that just work. We use STUN/TURN, SFU/MCU, and AI-driven analytics to ensure stable performance across devices and networks.

No matter the size or complexity of your project, we’ll take it on and get it done. No excuses.

ProVideoMeeting — WebRTC video conferencing app combining Zoom, Calendly, and DocuSign in one platform
project example

ProVideoMeeting

Blends Zoom, Calendly, and DocuSign into one secure app. Join via link, sign legal docs live, or call in by phone. Designed for business, it includes calendar sync, branded rooms, and mobile browser support. Boosts team productivity and works anywhere. Built on WebRTC for speed, trust, and scale.

How Our Custom WebRTC Solutions Work

We build real-time communication apps that send video, audio, and data directly between users with minimal delay. Under the hood, WebRTC handles peer-to-peer media transfer, while our backend keeps everything secure, scalable, and reliable.

Here’s how a typical WebRTC system we build works:

1. User Connection Setup

When a user starts a call or stream, the app connects to a signaling server.
This server helps participants find each other and exchange connection details.

2. Network Traversal (STUN/TURN)

Many users are behind firewalls or NAT.
We use STUN and TURN servers to establish a stable media path even on restricted networks.

3. Media Routing (SFU / MCU)

For group calls or live streams, media flows through an SFU (Selective Forwarding Unit) or MCU (Multipoint Control Unit):

  • SFU forwards streams efficiently for large calls
  • MCU mixes streams when needed for compatibility or recording

4. Real-Time Media Processing

Audio and video are encoded using codecs like VP8, VP9, H.264, and Opus.
We tune bitrate, resolution, and network adaptation to keep latency low and quality high.

5. AI Enhancements (Optional)

We can add AI-powered features such as noise suppression, background blur, speaker detection, live transcription, or moderation – all processed in real time.

6. Monitoring & Optimization

We integrate analytics to track packet loss, jitter, latency, and device performance.
This allows automatic adjustments and long-term quality improvements.

Result: smooth, low-latency video and audio that works across devices, browsers, and network conditions.

WebRTC System Architecture We Build

Our WebRTC architecture is designed for low latency, high reliability, and horizontal scalability.

A typical system includes the following layers:

WebRTC system architecture: client apps → stateless signaling → STUN / TURN → SFU (mediasoup / LiveKit / Janus) → application backend with EHR / CRM → AI media processing (Whisper / RNNoise / Krisp) → monitoring — Fora Soft reference stack
Result: This modular architecture allows your WebRTC platform to grow from small MVPs to systems with thousands of concurrent users.
Note

* Client Applications
Web, iOS, Android, or desktop apps built with WebRTC SDKs. These handle media capture, encoding, and playback on the user’s device.

* Signaling Server
A secure backend service that manages session setup, user presence, and call control. This is where peers exchange connection data before media starts flowing.

* STUN / TURN Servers
Infrastructure that ensures users can connect even behind strict corporate or mobile networks. TURN relays traffic when direct peer-to-peer is not possible.

* Media Servers (SFU / MCU)
Core real-time media layer for multi-user sessions: SFU for scalable video conferencing and live classes; MCU for stream mixing, recording, or legacy device support.

* Application Backend
Handles business logic: user accounts, permissions, payments, scheduling, chat, and integrations with third-party systems (CRM, EHR, LMS, etc.).

* AI & Media Processing Services (Optional)
Separate services for speech-to-text, content moderation, noise removal, or computer vision tasks such as face tracking or activity detection.

* Monitoring & DevOps Layer
We deploy logging, metrics, and alerting to track call quality, server load, and uptime. Infrastructure is typically hosted on AWS, GCP, or Azure with autoscaling.

We Handle Every Kind of WebRTC Project

Custom WebRTC apps for every case. Secure, scalable, and packed with smart features – built by the pros who pioneered it.

Custom WebRTC app development from scratch — video, audio, and data streaming solutions built end-to-end

From Scratch Development

Have an idea? We’ll turn it into a fully working app – from design and backend to launch and support.

WebRTC platform upgrade and optimization — improved performance, scalability, and new feature integration

Upgrades & Improvements

Got a product that needs more speed, stability, or features? We’ll make it stronger and ready to scale.

WebRTC project rescue and code takeover — fixing broken real-time communication systems

Takeovers & Fixes

Struggling with unfinished or broken code? We’ll step in, clean it up, and get your project back on track.

Flexible Pricing for Every Stage

Get Instant Estimate 🚀
* Optional add-ons: AI noise suppression, custom STUN/TURN hosting, speech-to-text, or AI moderation tools.

Have an idea
or need advice?

Contact us, and we'll discuss your project, offer ideas and provide advice. It’s free.

Why Clients Choose Fora Soft for WebRTC Development

20 Years in Real-Time Tech

Perfecting WebRTC and real-time apps since 2005. From CirrusMED telehealth to ProVideoMeeting conferencing — we’ve shipped real-time apps used by millions.

All Skills Under One Roof

Senior developers, QA, UI/UX, analytics – all in-house. No outsourcing, no handoffs. We think like product owners, not just coders.

Proven Results & Reliability

Over 600 completed projects, 100% Upwork Success rate, and 400+ client reviews. Trusted by startups and enterprises across 30+ countries.

Common questions from our clients

WebRTC Development FAQ

Quick answers about WebRTC development costs, timelines, AI integration, and what makes our approach different

What types of WebRTC applications can you build?

We build the full range: 1-on-1 video chat, group conferencing (up to 10,000+ participants), telehealth platforms, e-learning classrooms, live streaming apps, remote collaboration tools, and real-time customer support systems. Every app is custom-built for your use case.

Can you integrate AI into WebRTC applications?

Absolutely. We integrate AI-powered features like real-time transcription, live translation, noise suppression, background blur, speaker detection, and content moderation — all processed in real time during calls or streams.

How much does a WebRTC project cost?

MVPs start around $8K (4–5 weeks), scaling products around $25K (2–3 months), and enterprise systems from $50K+ (3–5 months). We provide free estimates upfront so you know exactly what to expect before committing.

How do you ensure call quality and low latency?

We deploy STUN/TURN servers for NAT traversal, adaptive bitrate streaming, intelligent load balancing, and codec optimization (VP8/VP9, H.264, Opus). Every build is stress-tested across real-world network conditions to guarantee sub-second latency.

How do you ensure quality and reliability?

600+ completed projects, 100% Upwork Success rate, and 20 years of experience. We combine senior engineers, in-house QA, real-time analytics, and proven architecture patterns to deliver apps that are scalable, stable, and production-ready from day one.

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