Maze is a web-scale video deduplication system that relies on large-scale approximate nearest neighbor vector search over video embeddings to detect and remove duplicate or near-duplicate videos efficiently. While not a general-purpose vector database, it represents a specialized, production-scale application of vector search infrastructure for multimedia content management.
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Website: https://maze.co/
Category: Research platforms / User research & testing
Type: SaaS product (end-to-end user research platform)
Maze is an end-to-end user research platform that enables teams to recruit participants, run a wide range of qualitative and quantitative studies, and analyze insights in one place. It supports everything from prototype and usability testing to interviews and large-scale surveys, with built-in participant recruitment, AI-assisted analysis, and automated reporting.
A dedicated pricing page is available (https://maze.co/pricing/), but specific plans and prices are not detailed in the provided content.