You will get WebRTC SFU Setup – Sub-Second Live Streaming
Project details
I build custom WebRTC SFUs (Selective Forwarding Units) with sub‑second glass‑to‑glass latency. Unlike generic solutions, my SFUs are optimized for your specific use case – live events, telemedicine, or group video calls. I use Janus, mediasoup, or LiveKit, deployed on your cloud or mine. You get source code (Standard/Premium tiers), auto‑scaling, and full monitoring. With 5+ years in video streaming and embedded firmware, I deliver production‑ready infrastructure that handles from 50 to 10,000+ concurrent users. All code is clean, documented, and deployable.
What's included
| Service Tiers |
Starter
$350
|
Standard
$850
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 1 | 1 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Additional Page
(+ 1 Day)
+$50
Source Code
+$200
Extended Support (7 days)
+$200
Deployment to Your Cloud
(+ 1 Day)
+$150
Extra 1000 Concurrent Users
(+ 2 Days)
+$300Frequently asked questions
About Regan
C++, FFmpeg, WebRTC, AI Voice Agent, Twilio, Python, SIP, VoIP, 3CX
Iligan, Philippines - 7:22 pm local time
By combining deep media server engineering (GStreamer, FFmpeg, Janus, LiveKit) with AI agent frameworks and telecom protocols (SIP, RTP, WebRTC), I create solutions where a single platform handles live video ingest, AI‑driven voice interactions, and PSTN/SIP connectivity - often cutting cloud costs by 40‑70% through on‑prem and edge processing.
🔹 What I Deliver – Core Service Lines
✅ AI Voice Agents & Telephony
- LLM‑powered voicebots connected to live calls via SIP trunks, Twilio, or Plivo.
- Real‑time speech‑to‑text / text‑to‑speech (Deepgram, ElevenLabs, PlayHT) integrated into media servers.
- Conversational AI workflows (Vapi, Retell, custom Node.js/Go) with interruption handling and emotion detection.
- SIP‑to‑WebRTC gateways, SIP trunking, and PBX integration – including deep 3CX setup, customization, and migration alongside Asterisk, FreeSWITCH, and Kamailio.
✅ Low Latency Video Streaming
- WebRTC (SFU/MCU), SRT, LL‑HLS, Media over QUIC (MoQ) – sub‑second glass‑to‑glass.
- Custom media servers (Janus, mediasoup, LiveKit, custom C++/Rust) scaling to 10K+ viewers.
- OBS Studio integrations with hardware AV1/HEVC encoding and WebRTC output.
- OTT sports, live events, and interactive broadcasts.
✅ AI‑Driven Video Analytics
- Real‑time object detection, tracking, face recognition (YOLOv8/v11, OpenCV, MediaPipe).
- Edge deployment on Jetson, Raspberry Pi, or NPU‑accelerated hardware (TensorRT, ONNX).
- Integration with AI voice layer for alerting, commentary, or conversational queries over video feeds.
✅ Embedded & IoT Streams
- C++/Rust firmware for IP cameras (RTSP, ONVIF, MQTT) on Yocto/Buildroot.
- GStreamer pipelines on resource‑constrained devices, hardware‑accelerated encoding.
- Fleet management via MQTT, CoAP, gRPC, Modbus.
🔹 Technical Toolkit
- Languages: C++, Python, Go, Rust, TypeScript/Node.js, SQL
- Protocols: SIP, RTP, RTCP, WebRTC, SRT, RTMP, MoQ, LL‑HLS, LL‑DASH, RTSP, ONVIF, MQTT, CoAP
- Voice & AI Agents: Twilio, Plivo, 3CX, Asterisk, FreeSWITCH, Kamailio, Vapi, Retell, Deepgram, ElevenLabs, OpenAI/LLMs, Rasa
- Streaming & Media: FFmpeg, GStreamer, Janus, mediasoup, LiveKit, Wowza, OBS Studio
- AI/ML & Optimization: YOLO, TensorRT, ONNX Runtime, OpenVINO, OpenCV, MediaPipe
- Cloud & Infra: AWS, GCP, Docker, Kubernetes, Prometheus, Grafana, SIP trunk providers
- Frontend/Backend: React, Next.js, FastAPI, Node.js, Redis, PostgreSQL
🔹 How I Work
Architecture audits → multi‑modal system design → prototype → production. I prioritize clean observability, HIPAA‑ready compliance when required, and thorough documentation.
🔹 Why Clients Choose Me
✅ End‑to‑end video‑plus‑voice architectures, not isolated features
✅ Sub‑second latency for both streaming and conversational AI
✅ Hybrid edge/cloud designs that slash egress and compute costs
✅ Clear daily communication, reliable delivery, and architecture you can scale on
📌 Available for: Long‑term contracts, greenfield MVPs, architecture reviews, and team training.
📩 Message me your project – I respond within 4 hours.
Steps for completing your project
After purchasing the project, send requirements so Regan can start the project.
Delivery time starts when Regan receives requirements from you.
Regan works on your project following the steps below.
Revisions may occur after the delivery date.
Your delivery process
I review your requirements (concurrent users, cloud account, signaling server). Within 24 hours, I share a project plan with timeline and architecture diagram.
Detailed work breakdown
I deploy the SFU: provision servers, configure TURN/STUN, set up monitoring, and integrate your client app (or provide a sample). You receive access to the staging environment.