Case study

Solaris A/V Engine

Automated quality control for long-form audio-visual content: it watches the video so humans don't have to — flagging dead air, broken audio, missing segments and inconsistencies, then exporting a review-ready QC report.

≈650%analysis throughput vs. the previous build
129automated tests (Vitest) green in CI
100%offline-capable after first load (PWA)

The problem

QC of long videos eats hours of skilled work

Reviewing hours-long recordings for technical defects is slow, repetitive and error-prone. Teams either skip it (and ship embarrassing glitches) or burn analyst time watching footage at real speed.

The solution — v2 rebuild

What changed from v1 to v2

Deployment options

Cloud today, on-premise tomorrow

Hosted web app

Runs in the browser at solaris-av-engine.vercel.app. Nothing to install; updates are automatic.

On-premise desktop (Tauri)

For studios that need footage to never leave the machine: a native desktop wrapper keeps processing fully local. Available as a custom engagement.

Need someone who ships?

Want Solaris deployed for your team, or something like it built? Talk to me directly.

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