Mixpeek

Mixpeek provides automatic S3 processing for databases, preparing S3 buckets for generative AI by supporting the processing of documents, images, audio, and video files. The company ensures real-time replication, sending every change to the processing pipeline instantly. It extracts important data and converts it into vectors for AI applications using a GPU cluster for inference, returning processed data to the database in real-time. Users can build custom AI apps using their existing stack without learning new tools, thanks to various integrations including databases, cloud apps, content systems, object storage, and custom sources. Mixpeek enables content discovery, recommendation engines, knowledge consolidation, reporting & analytics, and content curation. The company offers a free plan with an easy-to-use API or Python client and scales from zero to billions of items with no downtime and minimal latency impact. It uses a usage-based pricing model, starting free and paying only for what is used, with a ‘Free Forever’ tier for users maintaining under the file quota. Mixpeek is SOC 2 Type II and GDPR-ready, ensuring data security. Located at 915 Broadway, Suite 1200, New York, New York 10010, Mixpeek offers one-click deployment templates for AWS environments and runs on fully managed infrastructure that scales with user needs. The ‘Free Forever’ plan includes 1,000 GBs, <1GB file size, 1 API key, dashboard access, 24/7 support, lower environments, and a 3-hour SLA, while the ‘Enterprise’ plan offers unlimited GBs, unlimited file size, unlimited API keys, dashboard access, 24/7 support, lower environments, and a 3-hour SLA. Currently in Private Beta, Mixpeek requires reaching out to the team for access. The company provides a learning center with tutorials and guides on building multimodal data processing pipelines and supports various file types including DOC, PDF, MOV, MP3, XLS, M4A, PPT, PNG, GIF, AAC, CAD, and PAGES. Mixpeek pipelines serve as serverless orchestrators, coordinating various methods into a single atomic unit that directly interacts with databases. It integrates with Amazon S3, MongoDB, Pinecone, and Qdrant for data processing and storage, supporting multimodal data handling, automated pipelines, seamless integration, and real-time updates. Common use cases include data enrichment, automated tagging, content summarization, AI-powered search, multimedia analysis, and predictive analytics.