sync. logo

sync.

Emerging

AI lip-syncing video technology for dubbing and localization with zero-shot Lipsync-2 model; $5.5M from GV and Nat Friedman, YC W24, with 8,700+ GitHub stars on open-source Wav2Lip.

39
AI Score
Grade D
AI Visibility Score (Beta)
Entertainment & GamingWebsiteUpdated October 2026

Company Overview

About sync.

Sync. (also known as Sync Labs) is a San Francisco-based generative video AI company that develops industry-leading lip-syncing technology — enabling creators, media companies, and enterprises to modify video content so that a speaker's lip movements perfectly match translated audio or updated scripts in near real-time HD quality, powering video localization, dubbing, and post-production workflows that would traditionally require re-shooting or expensive manual animation. Backed by GV (Google Ventures), Nat Friedman, and Daniel Gross with $5.5 million in seed funding, Sync. graduated from Y Combinator's Winter 2024 batch with both an open-source model (Wav2Lip, 8,700+ GitHub stars) and a proprietary Lipsync-2 zero-shot model that requires no training data.

Business Model & Competitive Advantage

Sync.'s lip-sync technology addresses a persistent quality problem in video dubbing: when professional voice actors re-record dialogue in a new language, the original speaker's mouth movements don't match the new audio timing, creating the uncanny valley effect of poorly dubbed foreign language content. Sync.'s AI generates photorealistic lip movements that match the audio perfectly — enabling video creators to translate and localize content for global audiences without re-shooting or using visible dubbing artifacts that reduce viewer engagement.

Competitive Landscape 2025–2026

In 2025, Sync. competes in the generative video AI and AI dubbing market with HeyGen (AI video avatars and dubbing), ElevenLabs (AI voice and dubbing), Runway (generative video), and Pika Labs for AI-powered video content creation and localization. The AI video generation market has seen explosive growth as improvements in diffusion models have enabled photorealistic video manipulation that was computationally infeasible just two years prior. GV's investment reflects Google's interest in the generative video space (Google's own Veo model competes in adjacent territory). The open-source Wav2Lip model drives developer awareness and community adoption. The 2025 strategy focuses on enterprise media company and content creator API customers, the real-time dubbing use case for live video content, and building the full video localization pipeline from transcript to dubbed video.

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Key Differentiators

Emerging Innovator

sync. is an emerging player bringing innovative solutions to the Entertainment market.

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Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

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