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AI & Automation · WebRTC Development Services
WebRTC — custom real-time communication you own.
WebRTC AI development services for real-time video AI integration, voice calls, screen sharing, and peer-to-peer data channels — a real-time media solution provider building custom WebRTC infrastructure for generative AI without platform dependencies.
WebRTC AI development services
Real-time video AI integration
Custom WebRTC AI agent development
WebRTC infrastructure for generative AI
Low-latency media streaming for LLMs
SFU media server & TURN/STUN
<50ms
Media latency
Low-latency media streaming for LLMs and real-time AI.
4B+
Browsers supported
Native WebRTC in Chrome, Firefox, Safari, and Edge — zero plugins.
10K+
Concurrent streams
SFU architecture scaling to enterprise loads.
256-bit
E2E encryption
SRTP/DTLS encryption for all media streams.
Why MetaDesign
WebRTC specialists for custom AI communication platforms.
Hire RTC architects for voice AI — signalling, SFU, TURN — real-time media solution provider from scratch.
01
Custom WebRTC AI Stack
Our WebRTC AI development services build custom signalling servers, TURN/STUN infrastructure, and media processing pipelines for real-time video AI integration — no dependency on Twilio or Zoom SDKs.
02
Privacy-First Architecture
P2P connections with end-to-end encryption — ideal for healthcare, legal, and financial services where low-latency media streaming for LLMs must never touch third-party servers.
03
AI Media Processing
Custom WebRTC AI agent development powering server-side media processing for recording, transcription, AI analysis, and selective forwarding — SFU architecture at scale.
AI Video Platform
Hire WebRTC engineers for AI-powered video conferencing with real-time transcription, translation, and intelligent meeting summaries — no Zoom dependency.
Telehealth AI
HIPAA-compliant video consultations with real-time video AI integration for transcription and clinical note generation.
Voice AI Agents
WebRTC infrastructure for generative AI voice agents — low-latency media streaming for LLMs powering real-time conversations.
Screen Sharing
Remote support and collaboration tools with custom WebRTC AI agent development for screen sharing, annotation, and AI-assisted troubleshooting.
Our approach
Five stages, paired end-to-end.
Predictable delivery. No black-box sprints.
01
Architect
Signalling protocol, media topology (P2P/SFU/MCU), and infrastructure design.
02
Build
WebRTC client SDKs, signalling server, and media processing pipeline.
03
Scale
TURN/STUN deployment, SFU clustering, and geographic distribution.
04
Secure
E2E encryption, access controls, and compliance configuration.
05
Monitor
Quality metrics, call analytics, and performance optimisation.
Customer value
Six places it pays back in the first sprint.
Real outcomes our clients report within the first engagement cycle.
Faster time-to-market
Production-ready teams that ship from week one — no ramp-up lag.
Reduced technical risk
Architecture reviews, code audits, and security scans baked into every sprint.
Measurable velocity
Cycle time, PR throughput, and defect density tracked from day one.
Cost predictability
Fixed-price or capped T&M — no surprise invoices, ever.
Continuous improvement
Retros, post-mortems, and process refinement every sprint.
Knowledge transfer
Your team grows. Documentation, pair programming, and workshops included.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our WebRTC Development Services team.
Scale up, scale down — zero procurement headaches.
Fixed-scope project
Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.
BEST FORNew product launches
Dedicated team
A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.
BEST FORLong-running platforms
Staff augmentation
Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.
BEST FORCapacity gaps & sprints
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
Our WebRTC AI development services give you full control over data, features, and pricing. No per-minute fees, no third-party data processing, and complete UI/UX customisation — ideal for regulated industries and product companies building real-time video AI integration.
Yes. Hire WebRTC engineers for AI who design SFU (Selective Forwarding Unit) architecture with horizontal scaling and geographic distribution — handling thousands of concurrent rooms and tens of thousands of participants.
Yes. We build WebRTC infrastructure for generative AI — low-latency media streaming for LLMs enables real-time voice AI agents, live video analysis, and custom WebRTC AI agent development for conversational applications.
As a real-time media solution provider, we deploy TURN/STUN servers strategically across regions, implement ICE candidate gathering optimisation, and handle corporate firewall scenarios with TCP fallback and TLS tunnelling.
We minimize latency by utilizing streaming STT/TTS models, deploying processing nodes at edge locations, and optimizing WebRTC media pipelines for minimal buffering before reaching the LLM.
Yes, our WebRTC engineers regularly integrate custom AI computer vision models directly into the video stream to perform tasks like real-time background removal, facial recognition, or object tracking.
Telehealth (for remote diagnostics), EdTech (for AI tutoring), and Customer Support (for remote troubleshooting) are the primary industries benefiting from real-time video AI integration.
We rigorously test against WebRTC standard implementations across Chrome, Safari, and Firefox, and utilize polyfills or robust adapter libraries to handle minor browser API discrepancies.
Yes, by routing the video and audio streams through multimodal sentiment analysis models, the WebRTC AI agent can detect emotional cues and adapt its conversation strategy in real-time.
Scaling requires highly robust SFU (Selective Forwarding Unit) or MCU (Multipoint Control Unit) infrastructure, load balancing across global edge servers, and optimized TURN/STUN server configurations.
Build custom video & voice without vendor lock-in.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.