Vega Flow eliminates flicker, luminance drift, and temporal inconsistency from AI-generated, professional camera, and archival video — without blurring, ghosting, or destroying what your footage was meant to look like.
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Diffusion models generate each frame independently. Archival footage degrades unevenly over decades. The result is the same: luminance inconsistency that makes professional output unusable — and no existing tool fixes it without sacrificing perceptual quality.
Tested against DaVinci Resolve's native stabilisation on 4K RED RAW footage. Vega Flow exceeds Netflix's VMAF 93+ visually lossless threshold — a bar DaVinci Resolve's native deflicker does not reach on this test.
| Metric | Vega Flow V8.8 | DaVinci Resolve | Raw (untreated) |
|---|---|---|---|
| Composite Score | 71.0 | 62.1 | 45.6 |
| Mean PSNR | 37.81 dB | 35.48 dB | — |
| P95 Flicker Spike | 2.22 | 4.41 | — |
| Min T-SSIM | 0.954 | 0.934 | — |
RED 4K RAW · 15-second test clip · DaVinci Resolve 19, default deflicker settings · Composite score weighted across PSNR, T-SSIM, and luminance delta · Netflix VMAF 93+ visually lossless threshold exceeded
Vega Flow is engineered by a team with deep expertise in quantitative systems, computational optimisation, and risk management. We apply the same rigour to video that high-stakes analytical systems apply to precision — optimising for accuracy, not convenience. Founded in Edinburgh, with architecture, R&D, and validation network spanning the UK, Sweden, and India.
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