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Distributed Video &
Audio Transcoding.
On Your Terms.

Run media workloads on our managed cloud fleet or deploy workers anywhere - on-premise, public cloud (AWS, GCP, Azure), private cloud, or hybrid environments. Intel, NVIDIA, and AMD acceleration supported.

0
Inbound ports
required
3
GPU vendors
supported
$0
Compute surcharge
on your own workers
Worker Management Panel
Live
gpu-node-01
NVENC
87%
GPU
34%
CPU
gpu-node-02
QSV
72%
GPU
28%
CPU
gpu-node-03
VAAPI
11%
GPU
8%
CPU
cpu-worker-eu
CPU
-
GPU
21%
CPU
🎬
episode-04-1080p.mov → HLS
gpu-node-01 · H.265 · 3 renditions + Subtitles (EN/ES)
67%
📦
promo_v2_4k.mp4 → DASH
gpu-node-02 · H.264 · 4K→1080p→720p
41%
How it works

Simple setup. Full control.

Connect your storage, boot a worker node with a single command, then submit and monitor jobs in the web dashboard. The control plane handles the rest.

1

Connect Storage

Configure your private S3 bucket credentials once in the web portal. Workers access your media directly via pre-signed URLs - your content never passes through Transcoder's infrastructure.

2

Deploy Workers

Deploy workers anywhere: on-premise racks, public clouds (AWS, GCP, Azure), private clouds, or bare metal. A single bootstrap command automatically registers the agent, detects hardware (NVIDIA/Intel/AMD), and starts polling.

3

Run & Monitor Jobs

Launch transcoding tasks directly from the web interface. Our intelligent router assigns the job to the best-available GPU or CPU worker and streams real-time status updates.

Platform features

Everything your media pipeline needs.

Purpose-built for engineering teams running video and audio at scale - not a wrapper around someone else's cloud encoder.

Vendor-Agnostic GPU Acceleration

Automatically compiles the right FFmpeg flags for NVIDIA NVENC, Intel QuickSync (QSV), or AMD VAAPI. Full hardware-accelerated codec pipelines for H.264, HEVC (H.265), VP9, and AV1. Supports dynamic fallback to CPU libraries if drivers fail.

NVIDIA NVENC Intel QSV AMD VAAPI AV1 VP9
🔀

Smart Failover & CPU Fallback

If all dedicated workers are offline, the platform automatically routes jobs to our managed fleet - zero job failures. GPU hardware failures mid-transcode trigger instant software-encoder recovery without restarting.

Auto-routing Zero job loss
📡

Real-Time Telemetry & WebSockets

Workers stream CPU, GPU core, VRAM, memory, and active job count every 30 seconds. The dashboard renders live sparkline visualizations. Job progress events push over WebSocket - no polling required.

WebSocket Sparklines
📦

HLS & DASH Packaging

Output production-ready adaptive bitrate streams: HLS .m3u8 and DASH .mpd manifests with optimized resolution ladders in one job definition.

HLS MPEG-DASH ABR Ladder
💬

Multi-Language Subtitle Pipeline

Ingest, resolve, and deliver caption tracks dynamically. Supports hardcoded Burn-in filters, Embedded soft subtitles within MP4 containers, or decoupled Sidecar .srt & .vtt assets delivered straight to your target storage buckets.

Burn-In & Sidecar Soft-Muxed Segmented WebVTT
🛡️

Audit Logs & Compliance

Complete, immutable traceability of every admin action, job submission, storage access, and system event. Full timestamps, actor identity, and before/after state for every mutation.

Immutable Full history
🔒

Zero Lock-In Architecture

Workers communicate outbound-only over HTTPS - no inbound ports, no VPN, no firewall changes. Your media stays in your own S3 buckets or Wasabi buckets. Swap cloud providers or go fully on-prem anytime.

Outbound-only Your Storage
🎧

Dedicated Audio & Podcast Pipelines

Extract audio tracks from source videos or transcode high-fidelity podcast feeds. Native support for AAC, MP3, OPUS, and lossless FLAC formats with custom channel mapping, sample rates, and bitrates.

Audio-Only OPUS & FLAC Podcasting
Control Portal

Visual pipeline builder. No code needed.

Configure S3 storage buckets, select multi-language caption tracks, and customize resolution ladders visually from a unified web interface. Deploy workers anywhere (on-premise, public/private clouds, or bare metal) and start transcoding in minutes.

Hardware Compatibility

Hardware Vendor Acceleration Technology Capabilities
NVIDIA NVENC / CUDA Ultra-fast H.264, H.265 (HEVC), VP9 & AV1 hardware encoding
Intel QuickSync (QSV) Optimized QSV encoding/decoding (H.264, HEVC, AV1)
AMD VAAPI High-throughput encoding (H.264, HEVC, VP9, AV1)
CPU libx264 / libx265 / libsvtav1 High-fidelity fallback mode (libx264, libx265, libsvtav1, libvpx)
Interactive drag-and-drop job creation forms
Dynamic preset config for HLS/DASH manifest segmenting
Multi-language subtitle track uploads & delivery selection
Control Portal · New Transcode Job
s3://prod-media-bucket/raw/movie.mov ✓ Storage Connected
HLS (.m3u8) DASH (.mpd)
1080p ABR Ladder
+ Add Track
EN English (eng.srt)
Sidecar WebVTT
ES Spanish (esp.srt)
Sidecar WebVTT
Telemetry & Billing

See every worker.
Pay for what runs.

Live sparkline metrics stream from every worker every 30 seconds. Billing uses second-precision transcoding durations - not rounded minutes.

  • CPU, GPU core, VRAM, and memory utilisation per worker
  • Active parallel job count and queue depth
  • Second-level billing (Platform Fleet only; $0 compute surcharges on your workers)
  • Admin audit log of every action, job, and storage event
Worker Health - gpu-node-01
Live
GPU Core (NVIDIA) 87%
GPU VRAM 62%
CPU 34%
Memory 48%
Active jobs 2 running
Use cases

Built for teams with media at the core.

Whether you're a startup reusing idle GPUs or an enterprise keeping content inside your own network perimeter.

📺
High-Volume OTT

Production-ready HLS at scale

Process bulk VOD uploads into multi-bitrate HLS streams with optimized resolution ladders. Route to NVIDIA workers for maximum throughput on GPU-intensive H.265 encodes.

↓ Up to 70% vs managed services
Cost-Conscious Startups

Zero compute surcharges on your own hardware

Leverage idle GPU capacity on your own servers. Run massive video & audio pipelines with zero compute surcharges from Transcoder - telemetry and orchestration are billed under the flat base platform fee.

$0 compute surcharge on dedicated workers
🔐
Enterprise Security

Content stays inside your perimeter

Deploy dedicated workers inside your VPC or on-prem rack. Source media files access private S3 buckets via strict bucket policy isolation. Workers communicate outbound-only - no ports opened.

✓ Zero inbound ports required
🎬
Broadcast & Post-Production

Hybrid on-prem + cloud from one panel

Run on-prem workers for baseline load and burst to Platform Fleet during live events - managed from the same Worker Panel. Intel QSV and AMD VAAPI workers supported alongside NVIDIA.

✓ All three GPU vendors
Pricing Model

Transparent components. No hidden markup.

Transcoder separates orchestration from compute. You pay a monthly base fee for platform coordination, telemetry streaming, audit logs, and management, while running workers on your own infrastructure is entirely free of compute surcharges.

Pricing plans are being finalized during our Closed Beta.
Beta Access

Configure in 5 minutes & get started with your own workers

Get started with free transcoding minutes to evaluate the platform and receive dedicated support from the founding team. During the preview phase, we will help configure your private storage connections and set up your self-hosted workers.

Dedicated workers compute: $0.00 — Zero compute surcharges on your own hardware. Telemetry and coordination are billed under the flat monthly base fee.
Platform Fleet (Compute) — Simple pay-as-you-go per-second billing on cloud hardware.
Organization Platform: $TBD / mo Unlimited Users
All-inclusive tier for real-time telemetry streaming, WebSockets, dashboard, and log archiving.
Ready to scale?
Contact Sales

Tell us about your expected monthly encoding volume and compute setup to receive a customized beta plan.

Average setup time is under 5 minutes.
Early access

Ready to own your
encoding infrastructure?

Join our early access programme. First 50 customers get 3 months free on the Organization Platform subscription. Direct line to the founding team and influence over the roadmap.

No credit card required · Cancel anytime · Workers deploy in under 5 minutes