Simple, predictable pricing

Replace your dedicated engineering team with a reliable, scalable solution.

Free Forever

$0
  • 1,000 assets (max 10 features each)
  • 10 queries/minute
  • 1GB max file size
  • Default embedding models
  • 1 Namespace
  • Community Support
Get Started Free

Usage

$0.80/1k features
Start 14-day Free Trial Calculate Your Cost

Enterprise

Custom
  • Custom ingestion limits
  • Unlimited feature vectors
  • Unlimited namespaces
  • Custom embedding models
  • 99.99% uptime SLA
  • 24/7 Priority Support
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Compare Building vs Buying

Instead of dedicating engineering resources to build and maintain your own infrastructure, use Mixpeek's battle-tested solution.

  • Feature extraction pipeline
  • Distributed queuing system
  • Hybrid storage architecture
  • Search implementation
  • Scaling & maintenance
  • Security & compliance
See detailed engineering comparison
1

Replace Your Infrastructure

Everything you need in two API calls, instead of months of development.

2

Save Engineering Time

Focus your team on building features, not maintaining infrastructure.

3

Predictable Costs

Fixed monthly pricing instead of variable infrastructure costs.

Build vs Buy Calculator

Compare the total cost of ownership between building in-house and using Mixpeek.

2

Annual Cost Comparison

Building In-house
Infrastructure Costs $0
Core Components Required:
• Feature Extraction Pipeline
• Distributed Queuing System
• Vector Database
• Relational Database
• Cache Layer
• Cold Storage
Engineering Costs $0
Required Development:
• Multiple Model Deployments
• Version Management
• Embedding Updates
• Custom Extraction Configs
• Search Implementation
• Error Handling & Recovery
Maintenance & Ops $0
Ongoing Requirements:
• High Availability Mgmt
• Scaling with Data Growth
• Performance Optimization
• Security Implementation
• Data Consistency Mgmt
Total Annual Cost $0

* Calculations are estimates based on typical infrastructure costs, engineering salaries, and maintenance overhead. Actual costs may vary based on your specific requirements and location.

Pricing FAQ

If you don't see an answer to your question, you can send us an email from our contact form.

Namespaces are isolated environments for your content. Each namespace can have its own collections, feature extractors, and search configurations. They're useful for separating different applications or use cases within your account. For example, you might have one namespace for product documentation and another for customer support content.

Features are extracted data points and characteristics from your content that enable advanced search and analysis capabilities. Our AI models automatically extract different types of features depending on your content:

Text Features:
  • Vector embeddings of text
  • Keywords and important phrases
  • Named entities (people, places, organizations)
  • Topic categorization
Image Features:
  • Visual embeddings
  • Detected objects and their locations
  • Scene context
  • Extracted text (OCR)
Video Features:
  • Frame-by-frame analysis
  • Motion and activity detection
  • Audio and speech analysis
  • Scene transition detection

Feature extractors are AI models that analyze your content to understand its meaning and context. They create vector embeddings (numerical representations) of your content that enable semantic search. Vector indexes organize these embeddings for efficient similarity search. Mixpeek automatically handles model selection and index optimization based on your content type.

Custom feeds are automated data pipelines that can ingest content from your specific data sources. While standard feeds support common sources like S3 and web URLs, custom feeds (available in Enterprise) can integrate with proprietary systems, custom databases, or specialized content management systems. This includes real-time syncing and custom preprocessing steps.

Queries can be text, images, or mixed media. Our system combines vector similarity search with traditional filters and ranking methods. Query limits are measured per minute and apply to API calls for searching. Advanced features like reranking and personalization are available to optimize results. The system automatically handles cross-modal search (e.g., finding images with text queries).

SLAs cover system availability, query response times, and processing throughput. Standard tier (99.9%) ensures monthly uptime and basic performance. Enhanced SLA (99.95%) adds guaranteed processing times and faster support response. Enterprise SLAs (99.99%) can include custom performance metrics, dedicated infrastructure, and guaranteed resource allocation for your specific needs.

Become a multimodal maker.

Upgrade your application with multimodal understanding in one line of code.