Custom WebRTC Development for P2P, SFU, MCU & Hybrid Architectures

We build real-time video and audio platforms that match your exact user load, network conditions, and growth plans – low latency, stable performance, and costs that stay under control.

Custom WebRTC Development for Results & Scale

We deliver full-stack real-time systems using the right mix of P2P, SFU, MCU, or hybrid architectures. You get signaling, adaptive bitrate, media routing, and scaling that works on any device and any connection.

Our focus is simple: the architecture must solve your actual pain points (whether that’s sub-second latency for 1:1 calls or stable streams for hundreds of participants) without wasted server spend or constant firefighting.

We use Agentic Engineering (senior engineers + AI agents) to move from plan to working code 4-10× faster than traditional teams while keeping every decision transparent.

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Looking for a specific feature?

We've got you covered with a wide range of features and integrations – whatever you need! Just reach out to us for a custom quote tailored to your requirements.
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How Our Custom WebRTC Development Works

We follow a clear, proven process that aligns every decision with your business goals, technical constraints, and expected growth.

We keep you involved throughout so the final system matches real usage patterns – delivering reliable performance, controlled costs, and the ability to scale without major rework.

Result: A tailored platform that launches faster, stays stable at scale, and avoids common cost and quality pitfalls.

Have an idea
or need advice?

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

Custom WebRTC Architecture

We select and implement the topology that matches your real traffic – not a one-size-fits-all guess. The goal is low latency, predictable costs, and room to grow.

P2P (Peer-to-Peer)

SFU (Selective Forwarding Unit)

  • Best for 1:1 and small-group calls (1-4 users).
  • Direct browser-to-browser links mean minimal latency and lowest server cost.
  • Ideal for teleconsults, coaching, and secure private calls.
  • The standard for 5-100+ participants.
  • The server routes streams without mixing, cutting client bandwidth use (e.g. LiveKit).
  • Great for meetings, classrooms, and real-time collaboration.

MCU (Multipoint Control Unit)

Hybrid

  • Used for large events or low-power devices.
  • The server mixes all streams into one feed per user, delivering a stable experience even on weak networks (e.g. AntMedia).
  • Perfect for webinars or broadcasts.
  • A flexible mix of P2P, SFU, and MCU.
  • This setup switches modes based on user count or network quality.
  • Ideal for apps that must work well globally with unpredictable traffic.

Components include custom signaling, LiveKit/Ant Media/Kurento media servers, TURN relays, adaptive bitrate logic, monitoring dashboards, and optional AI plugins for bitrate or anomaly detection.

From simple MVP to enterprise multi-region clusters, we build modular systems you can extend without starting over.

Start with an MVP and scale to enterprise-grade systems with millions of concurrent streams. The same architecture supports telemedicine, e-learning, surveillance, and Internet TV without redesign.

Custom WebRTC Use Cases

The right architecture turns real-time video from a headache into a competitive advantage.

Here’s how we apply P2P, SFU, MCU, or hybrid across common scenarios.

📹 Video Conferencing & Team Meetings
🏥 Telehealth Platforms
📚 Online Education & Virtual Classrooms
🎤 Live Events & Webinars
🚨 Remote Monitoring & Surveillance
🏷️ Interactive Auctions & Live Bidding
🤖 AI-Enhanced Real-Time Apps

We Handle Every Kind of Custom WebRTC Project

Custom real-time WebRTC solutions for every case. Secure, scalable, and packed with smart features – built by the pros.

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From Scratch Development

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

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Upgrades & Improvements

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

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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 Growth Stage

* Pricing is always project-specific and based on your exact requirements. We provide a detailed estimate after a short call — no surprises, ever.
** Optional add-ons: AI bitrate adaptation or anomaly detection, recording, playback, and storage, multi-region deployment and cascading SFU, HIPAA/GDPR compliance setup, advanced monitoring dashboards, and more.

Have an idea or need advice? We’ll discuss your project, share realistic options, and give you a free SRS and a code audit for existing projects.

Why Clients Choose Us for Custom WebRTC Development

20 Years in Real-Time Tech

Perfecting complex real-time WebRTC platforms since day one – reliable custom solutions that deliver real value.

All Skills Under One Roof

Senior developers, QA, UI/UX designers, analytics – all in-house. We think like product owners, not just coders.

Proven Results & Reliability

Over 600 completed projects, 100% Upwork Success rate, and 400+ honest clients' reviews. Results you can trust.

Your Custom WebRTC Development Questions Answered Fast

Custom WebRTC Development FAQ

Get the scoop on WebRTC, AI & platform architecture – straight talk from the top devs

What kinds of solutions can you build?

We handle one-on-one calls, group meetings, large webinars, telehealth, education, monitoring, and hybrid apps using P2P, SFU, MCU, or dynamic switching.

Can you integrate advanced features like AI or recording?

Yes. We add AI bitrate control, speaker detection, recording, and other plugins on top of LiveKit, AntMedia, or custom stacks.

How much does a custom WebRTC development project cost?

MVPs start at $5,000. Full platforms typically range $10,000-$20,000+ depending on scale and features. We refine the exact number after a short call.

How do you guarantee low latency and stability?

We test under real network conditions, use adaptive bitrate and TURN fallbacks, and choose the architecture that fits your traffic pattern, no generic assumptions.

What’s your process and timeline?

Discovery, architecture choice, development with Agentic Engineering, testing, deployment, and support. Timelines run 2 weeks for simple MVPs to 3+ months for enterprise systems.

Do you provide post-launch support?

Yes. We include monitoring, optimization, and ongoing maintenance so your system stays reliable as usage grows.

How do you help choose the right topology?

We review your expected users, devices, and growth plans, then show clear trade-offs so you pick the option that balances cost, latency, and scale.

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