Twelve Labs
Extract actionable insights from video data with enterprise-grade multimodal AI
About Twelve Labs
Challenges It Solves
- Organizations struggle to extract meaningful insights from vast volumes of unstructured video data
- Building custom video understanding models requires specialized AI expertise and significant resources
- Traditional video search and retrieval methods are inefficient and lack semantic understanding
- Scaling video processing infrastructure while maintaining performance and cost-efficiency is complex
- Compliance and security concerns around video data storage and processing create barriers to adoption
Proven Results
Key Features
Core capabilities at a glance
Multimodal Video Embeddings
Rich semantic representations of video content
Enables precise video understanding and intelligent search capabilities
Comprehensive REST APIs
Flexible integration into existing workflows
Seamless deployment with minimal engineering overhead required
Scalable Processing Engine
Handle massive video libraries efficiently
Process millions of hours while maintaining consistent performance
Advanced Video Search
Semantic and contextual search capabilities
Find specific content in seconds across entire video catalogs
Content Classification & Tagging
Automatic metadata generation and organization
Reduce manual tagging effort by 85% with intelligent categorization
Real-time Analysis
Live video processing and insights
Monitor and respond to video content instantly as it streams
Ready to implement Twelve Labs for your organization?
Real-World Use Cases
See how organizations drive results
Integrations
Seamlessly connect with your tech ecosystem
AWS
Native integration with S3 and EC2 for scalable video storage and processing infrastructure
Google Cloud
Seamless GCP integration for cloud-native video processing and analytics workflows
Azure
Azure-native deployment options with integrated identity and compliance management
Kubernetes
Container orchestration support for distributed video processing at enterprise scale
Elasticsearch
Integration for indexing and searching video metadata and embeddings
Webhook APIs
Real-time event notifications for automated pipeline triggers and downstream processing
REST API Frameworks
Compatible with major backend frameworks for custom application integration
Message Queues
Kafka and RabbitMQ integration for asynchronous video processing workflows
A Virtual Delivery Center for Twelve Labs
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers Twelve Labs
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists
Implementation Timeline
See how it works for your team
Alternatives & Comparisons
Find the right fit for your needs
| Capability | Twelve Labs | Knowru | Hippo | Sourcegraph Cody |
|---|---|---|---|---|
| Customization | ||||
| Ease of Use | ||||
| Enterprise Features | ||||
| Pricing | ||||
| Integration Ecosystem | ||||
| Mobile Experience | ||||
| AI & Analytics | ||||
| Quick Setup |
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