If you're using the same ladder across very different content, you may be overspending on delivery. We benchmark your current ladder against your own content and show you exactly how many kbps — and dollars — you can remove without sacrificing measured quality.
Free · one sample video · report back in 48 hours
The idea isn't new. Making it accessible is. Netflix demonstrated per-title encoding publicly in 2015. StreamSlim brings the same basic optimization principle to teams that don't have a dedicated video-encoding research group.
| Rung | Current | Optimized | |
|---|---|---|---|
| 1080p | 5.0 Mbps | → | 3.2 Mbps |
| 720p | 2.5 Mbps | → | 1.6 Mbps |
| 480p | 1.2 Mbps | → | 0.8 Mbps |
The free audit requires zero pipeline changes. The audit runs entirely on our end.
Public HLS URL: we inspect your current ladder. Source/master file: we run the full VMAF optimization audit against it.
We build rate–distortion curves across resolutions and bitrates, then select the efficient frontier under your quality constraints — run on your content.
Illustrative example
The optimal ladder for your content, the bitrate gap in your current setup, and a dollar estimate based on your egress. Free, no obligation.
This isn't for everyone — here's how to tell fast.
We generate encoder settings. You keep your encoder. No new platform, no migration — StreamSlim slots in front of what you already run.
Works regardless of whether you deliver through CloudFront, Fastly, Akamai or another CDN.
Illustrative example from a mid-size VOD ladder — your numbers depend on your content mix.
One rung, one title. Multiply by every rung in your ladder and every title in active rotation, weighted by view count, and the gap compounds fast — most of it invisible until someone runs the numbers.
The free audit shows you this exact table for your own content, plus a dollar figure based on your actual egress bill.
If there is a meaningful saving opportunity, StreamSlim can generate production-ready encoding settings for every new title.
{
"1080p": "2300 kbps",
"720p": "1250 kbps",
"480p": "650 kbps"
}
Built by a video streaming engineer with 14+ years in backend systems, video pipelines and performance optimization. Per-title encoding isn't new — Netflix published the approach in 2015.
Most teams still don't use it, not because it's hard, but because nobody owns "go audit our encoding ladder" as a job. That's the gap this fills — without asking you to migrate anything.
Currently researching multimodal ML as a CS PhD student.
The audit benchmarks the result, not the setting. Whatever mode or rate-control approach you're on, we measure the actual VMAF-vs-bitrate outcome it produces and compare that against a per-title optimized ladder.
We can benchmark it. If it's already running efficiently for your content, we'll tell you that directly — the audit is free either way, and a "you're already optimized" result is a valid outcome.
For the full VMAF optimization audit, yes. A public HLS URL is enough for a preliminary ladder inspection, but a proper rate-distortion analysis requires the source/master as the reference for comparison.
Not initially — StreamSlim currently targets VOD (video-on-demand). Live is a different problem with different constraints; it's not ruled out long-term, just not where we start.
If the savings are meaningful, we talk about integrating StreamSlim in front of your existing encoder — you keep your pipeline, we generate the ladder. If they're not meaningful, you keep the report and owe us nothing.
One video. One email. A report in 48 hours.
HLS URL gets you a ladder inspection. For the full VMAF audit, we'll reply with instructions for securely sharing a source/master file.