WebRTC Solutions

Real-Time Communication

We build WebRTC-based solutions for video conferencing, live streaming, and real-time data exchange. From simple peer-to-peer connections to large-scale streaming infrastructure.

Sub-Second Latency

WebRTC enables true real-time communication with latencies under 500ms—essential for interactive applications where every millisecond matters.

Architecture Overview


flowchart TB
    subgraph Clients["Client Applications"]
        A[Web Browser]
        B[Mobile App]
        C[Desktop App]
    end

    subgraph Signaling["Signaling Layer"]
        D[WebSocket Server]
        E[Session Management]
    end

    subgraph Media["Media Infrastructure"]
        F[TURN/STUN]
        G[SFU/MCU]
        H[Recording]
    end

    subgraph Delivery["Content Delivery"]
        I[CDN]
        J[Edge Nodes]
    end

    A & B & C <--> D
    D <--> E
    A & B & C <--> F
    F <--> G
    G --> H
    G --> I
    I --> J

    style Clients fill:#e0f2fe,stroke:#0284c7
    style Signaling fill:#fef3c7,stroke:#d97706
    style Media fill:#dcfce7,stroke:#16a34a
    style Delivery fill:#fce7f3,stroke:#db2777

Video Conferencing

Custom video conferencing solutions tailored to your needs:

Feature	Capability	Implementation
Multi-Party Calls	Adaptive quality per participant	SFU architecture
Screen Sharing	Desktop, window, tab sharing	Screen capture API
Recording	Server-side, client-side	MediaRecorder, cloud storage
Integration	Calendar, CRM, workflows	REST APIs, webhooks

Live Streaming

Scale Without Limits

Our streaming infrastructure scales from hundreds to millions of concurrent viewers with consistent sub-second latency.

Capability	Description	Use Cases
Low-Latency Delivery	<500ms glass-to-glass	Interactive streaming
Multi-Platform	Web, mobile, TV	Broad reach
Interactive Features	Real-time engagement	Live commerce, events
VOD Integration	Live-to-VOD workflow	Content management

IoT Video

Video solutions for embedded and IoT applications:

Solution	Description	Benefits
Camera-to-Cloud	Direct streaming from devices	Remote monitoring
Remote Monitoring	Multi-device dashboards	Centralized control
Edge Processing	On-device video analysis	Reduced bandwidth
Low-Bandwidth	Adaptive bitrate, compression	Constrained networks

XR Remote Rendering

VR/AR/MR Streaming

Stream high-fidelity XR experiences from powerful servers to lightweight standalone headsets—enabling superior graphics quality, reduced device costs, and extended battery life.

ElectricMaple & Monado Integration

We leverage the ElectricMaple stack for enterprise XR streaming solutions, combining OpenXR, GStreamer, and WebRTC for low-latency remote rendering.


flowchart LR
    subgraph Server["Rendering Server"]
        A[OpenXR Application]
        B[GPU Rendering]
        C[GStreamer Encoder]
    end

    subgraph Transport["WebRTC Transport"]
        D[Video Stream]
        E[Pose Data]
        F[Controller Input]
    end

    subgraph Client["XR Headset"]
        G[Monado Runtime]
        H[Display]
        I[Tracking]
    end

    A --> B --> C
    C --> D
    D --> G --> H
    I --> F --> E --> A

    style Server fill:#f3e8ff,stroke:#9333ea
    style Transport fill:#fef3c7,stroke:#d97706
    style Client fill:#e0f2fe,stroke:#0284c7

XR Streaming Capabilities

Feature	Description	Benefit
Remote Rendering	GPU-intensive rendering on server	Lightweight headsets, longer battery
Low Latency	WebRTC + motion-to-photon optimization	Comfortable VR experience
OpenXR Standard	Cross-platform compatibility	Works with any OpenXR application
WiFi 6/6E Support	High-bandwidth wireless streaming	Untethered freedom

Use Cases

Application	Industry	Example
Training Simulations	Enterprise, Defense	Complex scenarios on thin clients
Design Review	Automotive, Architecture	High-polygon CAD models in VR
Remote Collaboration	Engineering, Healthcare	Shared XR workspaces
Industrial Visualization	Manufacturing	Digital twin inspection
Location-Based XR	Entertainment, Retail	Multi-user AR experiences

Technology Stack

Component	Technology	Purpose
XR Runtime	Monado	Open-source OpenXR implementation
Streaming	ElectricMaple	WebRTC-based XR transport
Encoding	GStreamer + NVENC/VAAPI	Hardware-accelerated video encoding
Tracking	Inside-out, external	Pose and controller tracking

Hardware Requirements

Server: RTX 4090 or higher for 90Hz+ streaming. Client: Any OpenXR-compatible headset (Meta Quest, HTC Vive, etc.) with WiFi 6/6E for optimal latency.

Implementation Process

Requirements Analysis: Define participants, quality, latency targets
Architecture Design: Select topology (P2P, SFU, MCU)
Infrastructure Setup: Deploy signaling and media servers
Client Development: Build platform-specific applications
Quality Optimization: Tune codecs, adaptive bitrate
Scale Testing: Load testing and capacity planning

Building a real-time communication product? Reach out to discuss architecture and implementation.