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Dubbing 3.0 by Sieve  Screenshot
Dubbing 3.0 by Sieve

Dubbing 3.0 by Sieve

Translate videos to 30+ languages with one API call

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134 Upvotes

About

Sieve provides high-quality video datasets for frontier AI applications, specializing in video generation, human avatars, and world models. They offer a comprehensive suite of packaged datasets, including 500K hours of diverse video clips, and also facilitate custom dataset creation. The company emphasizes high quality through purpose-built video understanding models and human QA, unparalleled scale with thousands of petabytes of data, extreme diversity from various sources (public, private, synthetic), and next-gen complexity with new data shapes like paired, time-synced, and conversational formats. Sieve serves leading AI labs, Fortune 100 companies, and fast-growing generative AI startups, offering a scalable API, compliance, dedicated partnership, and secure data handling (SOC 2 Type 2 certified).


Color Palette

Primary Black

#000000

40%

Background White

#FFFFFF

50%

Accent Dark Grey

#1A1A1A

8%

Accent Blue (SOC 2 Shield)

#007bff

2%

Typography

Sans-serif

Headings, Body Text, Navigation

Aa

Design Review

The Sieve landing page exhibits a clean, modern, and highly professional design. The minimalist aesthetic, dominated by a black and white color scheme, effectively conveys a sense of seriousness and trustworthiness, which is appropriate for a B2B AI data provider. Ample whitespace ensures excellent readability and helps to highlight key information and calls to action. The typography, a consistent sans-serif font, is clear and legible across all elements, from headings to body text. Imagery, such as the hero video placeholder and various video preview frames, is directly relevant and visually reinforces the product's core offering. The layout is intuitive, guiding the user through the company's value proposition, offerings, and engagement process in a logical flow. Usability is high due to the straightforward navigation and clear presentation of complex technical information. The overall design successfully projects competence and reliability, aligning well with its target audience of advanced AI research and development teams.

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