
What is Mixpeek?
Mixpeek is an intelligence layer on top of object stores like S3, using NLP to understand non-text files with a GET /search API call. It’s a multimodal data warehouse for developers, processing and extracting features from text, images, video, audio, and PDFs at scale. It offers a unified API for extracting insights across various media types, discovering patterns between them, and querying across all media types with a single interface.
How to use Mixpeek?
To use Mixpeek, you can start with a single line of code to set it up. You can upload objects from any source, including AWS S3 buckets, and Mixpeek automatically detects content types and prepares them for extraction. The platform provides flexible tools for every step of the pipeline, including uploading objects, extracting features, enriching features, and building retrievers.
Mixpeek’s Core Features
Unified API for multimodal data processing Cross-format search across text, images, video, and audio Feature extractors for every data type Seamless model upgrades and cross-model compatibility Automatic scaling and unlimited queries
Mixpeek’s Use Cases
- AdTech platforms processing millions of creative assets daily for faster creative analysis and automated brand safety checks.
- Media companies handling massive volumes of video content to improve content discovery and monetization.
- Retail companies maintaining massive asset libraries to enable visual product search and automate product tagging.
- Security platforms processing massive volumes of surveillance footage daily for faster security incident analysis and automated suspicious activity alerts.
- EdTech platforms managing diverse learning materials across multiple formats for faster content organization and higher student engagement.
- Dataset Engineering & Management to accelerate dataset development cycles and improve dataset quality, consistency, and auditability.
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