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TwelveLabs is an enterprise video AI platform offering multimodal foundation models (Marengo and Pegasus) for semantic search, video understanding, and 512-dimensional embeddings across visual, audio, and text modalities.
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Search, analyze, and understand video across vision, audio, and language modalities · Provides semantic video search, multimodal video understanding, and video embeddings power · Search, segment, and reason across entire video library in natural language · Generates 512-dimensional multimodal video embeddings (visual, audio, dialogue, on-screen
TwelveLabs delivers enterprise video AI powered by multimodal intelligence. Search, analyze, and understand video across vision, audio, and language.
Teams in media, sports, advertising, government, and security working with video at scale · Teams and developers at enterprises · Developers building applications via API · Developers building applications with video intelligence features
Video intelligence for teams in media, sports, advertising, government, security, and more.
Semantic search, anomaly detection, content recommenders, content review, and compliance s · Video search, content workflow automation, and AI-driven video insights · AI for government and security video surveillance (behavioral surveillance, evidence searc · Semantic search, hybrid search, RAG, recommendations, and anomaly detection
Easily build features like semantic search, anomaly detection, content recommenders and capabilities tailored to you.
Free trial available · Free trial entry with pay-as-you-go billing
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TwelveLabs Python SDK (twelvelabs) exposing indexes, tasks, and analyze_stream endpoints f · Single video processed with one API call · Twelve Labs APIs require completing an API Application for approval before access · Single API call per video; supports embedding-based indexing reused across multiple brand
from twelvelabs import TwelveLabs
Integrates with existing VMS (Video Management Systems) and case management tools
Output integrates with your existing VMS and case management tools.
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TwelveLabs: Video Intelligence Platform & API
Search, analyze, and understand video across vision, audio, and language modalities · Semantic video search, multimodal video understanding, and video embeddings powered by fou · Teams in media, sports, advertising, government, and security
Search, analyze, and understand video across vision, audio, and language modalities
Provides semantic video search, multimodal video understanding, and video embeddings powered by foundation models
Teams in media, sports, advertising, government, and security working with video at scale
Marengo multimodal embedding model that converts video into spatiotemporal embeddings findable by content rather than metadata
Pegasus video language model that reasons continuously over the full temporal arc up to two hours, tracking entities, causation, and narrative
Pegasus family with example model_version pegasus1.2 supporting visual and audio model options
Supports 47 languages
Cloud platform hosted on Amazon Web Services (AWS) hardened using CIS Benchmarks
AES 256-bit encryption at rest, TLS 1.2+ in transit, multi-factor authentication, role-based access control, OWASP-based controls, penetration testing
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TwelveLabs Python SDK (twelvelabs) exposing indexes, tasks, and analyze_stream endpoints for video analysis and text generation
Semantic search, anomaly detection, content recommenders, content review, and compliance scanning over video
55 Green Street, San Francisco, CA 94111, US
TwelveLabs, Inc.
Search, segment, and reason across entire video library in natural language
TwelveLabs AI video platform
Video search, content workflow automation, and AI-driven video insights
Teams and developers at enterprises
Marengo, Pegasus, and Jockey
Pegasus 1.5 outperforms Gemini 3.1 Pro by +13.1% on Multimodal Prompting
Deployed where the customer's data lives
Single video processed with one API call
Multimodal, video-native AI
Solve fundamental problems in video understanding to change how people see, experience, and use video through AI
Team began with twelve members with expertise spanning language, video, machine learning, and perception
Twelve Labs Inc.
Marengo (multimodal video embedding model)
Pegasus (video-to-text analysis model)
Generates 512-dimensional multimodal video embeddings (visual, audio, dialogue, on-screen text)
Single model handles image, audio, text, and video
Analyzes videos up to 2 hours long without pre-indexing
Returns structured JSON, summaries, chapters, reports, and time-coded metadata
Twelve Labs APIs require completing an API Application for approval before access
AI for government and security video surveillance (behavioral surveillance, evidence search, anomaly detection)
Semantic search, hybrid search, RAG, recommendations, and anomaly detection
Integrates with existing VMS (Video Management Systems) and case management tools
Pegasus 1.5 outperforms Gemini 3.1 Pro by +13.1% on Multimodal Prompting
TwelveLabs, Inc.