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Twelve Labs

Multimodal AI / Video Intelligence · San Francisco, California, USA / Seoul, South Korea / New York, USA

Matrix Employer Score™

93.7

High confidence

Employer Intelligence Evidence

Evidence-backed signals supporting our assessment of this AI employer.

Evidence-backed
AI Impact
High Confidence
89.8
3 evidence items
View evidence

Supporting signal

Frontier Model Adoption & AI Impact

Frontier Model Adoption & AI Impact

Medium Confidence

Oct 9, 2026

Twelve Labs' December 2024 company-hosted interview records CEO Jae Lee reporting more than 30,000 developers using the platform, spanning experiments and enterprise workflows.

Source: Twelve Labs / CEO interviewprimaryOpen source ↗

Frontier Model Adoption & AI Impact

High Confidence

Sep 26, 2026

TwelveLabs has real enterprise deployments through Amazon Bedrock and customers in media, sports, public sector and brand safety, including NFL Media, MLSE, Sejong City and production deployments such as Mantis.

Source: TwelveLabsCompanyOpen source ↗

Frontier Model And Enterprise Adoption

High Confidence

Sep 26, 2026

TwelveLabs has real enterprise deployments through Amazon Bedrock and customers in media, sports, public sector and brand safety, including NFL Media, MLSE, Sejong City and production deployments such as Mantis.

Source: TwelveLabsCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
AI Leadership
High Confidence
90
3 evidence items
View evidence

Supporting signal

Frontier Research & Model Leadership

Frontier Research & Model Leadership

Medium Confidence

Oct 9, 2026

Marengo 2.6's technical report specifies visual and audio expert encoders, a gated fusion module producing unified multimodal representations, and self-supervised training with contrastive loss.

Source: Twelve LabsprimaryOpen source ↗

Frontier Research & Model Leadership

High Confidence

Sep 26, 2026

TwelveLabs develops video-native foundation models Marengo and Pegasus for continuous temporal reasoning over video, positioning video as a distinct foundation for multimodal intelligence.

Source: TwelveLabs ResearchCompanyOpen source ↗

Frontier Research Leadership

High Confidence

Sep 26, 2026

TwelveLabs develops video-native foundation models Marengo and Pegasus for continuous temporal reasoning over video, positioning video as a distinct foundation for multimodal intelligence.

Source: TwelveLabs ResearchCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
Employer Strength
High Confidence
92
3 evidence items
View evidence

Supporting signal

Frontier AI Employer Strength

Frontier AI Employer Strength

Medium Confidence

Oct 7, 2026

TwelveLabs discloses SOC 2 Type II certification and encrypted data handling for its enterprise video-AI offering. These specific security and compliance qualifications provide employer commercial-readiness evidence independent of the already recorded financing, AWS competency and deployment integrations.

Source: Twelve LabsCompanyOpen source ↗

Frontier AI Employer Strength

High Confidence

Sep 26, 2026

TwelveLabs raised $100M in July 2026, earned the AWS AI Competency, supports enterprise cloud, private-cloud and on-prem deployment, and is expanding through AWS and Snowflake integrations.

Source: TwelveLabs Series BCompanyOpen source ↗

Deployment Capacity

High Confidence

Sep 26, 2026

TwelveLabs raised $100M in July 2026, earned the AWS AI Competency, supports enterprise cloud, private-cloud and on-prem deployment, and is expanding through AWS and Snowflake integrations.

Source: TwelveLabs Series BCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Market Transferability
High Confidence
96
3 evidence items
View evidence

Supporting signal

Frontier AI Skill Transferability

Frontier AI Skill Transferability

Medium Confidence

Oct 7, 2026

Twelve Labs documents asynchronous embedding jobs with status polling, delayed failure handling via error.message, and time-aligned metadata for fused embeddings. These operational API details support an analyst inference of portable asynchronous pipeline and multimodal data-integration skills.

Source: Twelve Labs official materialCompanyOpen source ↗

Frontier Agent Skill Transferability

High Confidence

Sep 26, 2026

TwelveLabs work spans multimodal video foundation models, embeddings, temporal reasoning, retrieval, enterprise deployment and agent-ready video intelligence, skills with broad AI applicability but some video specialization.

Source: TwelveLabs ResearchCompanyOpen source ↗

Frontier AI Skill Transferability

High Confidence

Sep 26, 2026

TwelveLabs work spans multimodal video foundation models, embeddings, temporal reasoning, retrieval, enterprise deployment and agent-ready video intelligence, skills with broad AI applicability but some video specialization.

Source: TwelveLabs ResearchCompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026

Matrix Employer Score™ components are supported by structured employer evidence, versioned methodologies, and confidence ratings.

Hiring Signal

Hiring

Employer Signal

92

Hiring Opportunity

97

Company Overview

Employer Snapshot

AI Category

Multimodal AI / Video Intelligence

Primary Location

San Francisco, California, USA / Seoul, South Korea / New York, USA

Founded

2021

Employees

180

Why AI Talent Watches Twelve Labs

Twelve Labs develops multimodal foundation models that understand video, audio, language, and temporal context.

Why Join

Build foundation models that understand video, audio, language, and complex temporal information.

Employer Intelligence

Hiring: Hiring

Talent Competition: Exceptional

Technical Bar: Exceptional

AI Talent Matrix Confidence: High confidence

Recent Employer Signals

Video-Native Foundation Models & Multimodal Research

Twelve Labs develops multimodal foundation models centered on video understanding, temporal reasoning, retrieval, and embeddings. Its career environment combines research and engineering around a modality that differs materially from text-first frontier-model labs.

AI Talent Matrix interpretation

This is a differentiated technical-depth signal for candidates interested in video, multimodal systems, and temporal intelligence. Specialized research focus is valuable employer context and does not automatically change Matrix Employer Score™.

Talent Intelligence

Matrix Employer Score™ Breakdown

View Matrix Employer Score™ Methodology →

Core Employer Intelligence

AI Impact

89.8

AI Leadership

90

Employer Strength

92

Market Transferability

96

Career & Workplace

Career Growth

100

Compensation

100

Engineering Culture

100

Work-Life Balance

80

Evidence-Backed Signals

Career Upside

100

Talent Density

100

Hiring Opportunity

97

Talent & Career Programs

Remote Policy

Hybrid

Visa Sponsorship

Case by Case

Internship Program

Available

New Grad Program

Available

AI Focus

Video Foundation Models / Multimodal AI / Video Search / Embeddings

Flagship Products

Marengo; Pegasus; Twelve Labs Video Understanding Platform

Data & Methodology

How AI Talent Matrix interprets this employer

Last Updated

9/5/2026

AI Talent Matrix Confidence

High confidence

AI Talent Matrix scores and signals are comparative employer-intelligence indicators and should not be interpreted as guarantees of hiring, compensation, career outcomes, or individual fit.

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