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Mixpeek

Mixpeek is a multimodal data warehouse for developers to search text, image, audio, video, PDFs with real-time API.

Data Management Updated 9 hours ago

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Mixpeek's Top Features

AI-native multimodal data warehouse

Unified retrieval API across video, audio, images, and documents

Real-time and batch ingestion and processing

Built-in multimodal feature extractors (speech, language, structure)

Real-time embedding generation and automated classification

Automatic scaling with pay-for-indexing and unlimited queries

Advanced vector search with multi-stage retrieval (ColBERT, SPLADE)

End-to-end managed pipelines from raw data to searchable AI features

Integrated logging, monitoring, and relevance analytics

Flexible deployment: hosted, hybrid, embedded, and RAG-native

Frequently asked questions about Mixpeek

Mixpeek is a multimodal data warehouse that lets developers process, extract features from, and search across text, images, video, audio, and PDFs via a unified, API-first platform.

Developers, machine learning teams, and solution engineers across industries such as advertising, media, retail, security, healthcare, education, and manufacturing.

Multimodal search, unified retrieval API, built-in feature extractors (speech, language, structure), real-time embedding generation, automated classification, automatic scaling, logging/monitoring, and unlimited queries with pay-for-indexing.

It processes video, audio, images, and text documents, automatically categorizes content, generates embeddings, and enables deep analysis and rapid retrieval via multimodal classification and retrieval models.

Archiving and categorizing video content, organizing image libraries, analyzing and classifying audio files, sorting and retrieving text documents, and automating CRM entry and objection handling for sales calls.

It automatically scales up or down with traffic and manages vector stores, model serving, and query optimization so teams can focus on application logic.

Yes. Mixpeek powers real-time understanding and retrieval, enabling use cases like live call analysis and instant insights from diverse data streams.

By automating tagging, classification, and data pipelines, Mixpeek speeds up analysis and reduces manual work—achieving up to 90% faster creative analysis and 85% faster incident analysis in reported scenarios.

Hosted (cloud), hybrid, or embedded within existing infrastructure, including RAG-native deployments.

Mixpeek converts raw multimodal media into structured, searchable intelligence with built-in, pluggable extractors, whereas Elasticsearch is primarily text-focused and depends on external integrations for deep multimodal analysis.

Mixpeek's pricing

Usage-based

$0/custom

Pay only for data indexed; queries are unlimited
Automatic scaling up and down based on traffic
Multimodal search across video, audio, images, and documents

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Mixpeek

Mixpeek's Top Features

Frequently asked questions about Mixpeek

Mixpeek's pricing

Usage-based

$0/custom

Customer Reviews

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Mixpeek

Mixpeek's Top Features

Frequently asked questions about Mixpeek

What is Mixpeek and what does it offer?

Who typically uses Mixpeek?

What are the main features of Mixpeek?

How does Mixpeek handle different types of data?

What are typical use cases for Mixpeek?

How does Mixpeek scale and manage infrastructure for users?

Does Mixpeek support real-time applications?

How does Mixpeek improve efficiency for businesses?

What are the deployment options for Mixpeek?

What makes Mixpeek different from traditional search tools like Elasticsearch?

Mixpeek's pricing

Usage-based

$0/custom

Customer Reviews

Category

Tags

Top Mixpeek Alternatives

Kadoa

Joblens

Parseur

STRING

Anaconda

YData