Appen | Company Profile
Company Directory for Appen
Appen
Overview
Appen is a global leader in providing high-quality, human-annotated datasets for machine learning and artificial intelligence. Founded in 1996 in Australia by Dr. Julie Vonwiller and Chris Vonwiller, the company has over 25 years of experience in AI training data. The organization serves major technology companies and governments, helping to enhance AI interactions across various applications.
Specializing in collecting, annotating, and labeling vast datasets—including images, text, speech, audio, and video—Appen leverages a global crowd of over 1 million contributors to efficiently support tasks like tagging and evaluation. Its solutions include crowd-sourced data annotation and expertise-driven services, which are essential for training AI models in search relevance, generative AI, and machine learning. The company serves eight of the top ten global technology companies and various government entities.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 1996 |
| Revenue | 145.6M |
| Headquarters | 12131 113th Ave NE, Suite 100, Kirkland, Washington 98034, United States |
| Alexa Ranking | 3297 |
Contact Details
- Phone: +1 415-471-1920
- Website: appen.com
- LinkedIn: linkedin.com/company/appen
Key Focus Areas & Initiatives
- search
- annotation
- evaluation
- personalization
- transcription
- spam detection
- translation & localization
- data collection
- training data
- artificial intelligence
- machine learning
- data preparation
- model evaluation
- datasets
- computer vision
- natural language processing
- llm
- generative ai
- freelancers
- consumer internet
- deep information technology
- internet
- information technology
- it services & it consulting
- adversarial testing
- data quality
- predictive analytics
- sustainability
- llm training data
- government
- innovation
- multilingual ai
- synthetic data generation
- ai model benchmarking
- consulting
- project management
- data sourcing
- deep learning
- multilingual datasets
- ai safety benchmarking
- data security measures
- services
- ai model bias detection
- real-world model evaluation
- speech recognition
- computer systems design and related services
- ai model robustness testing
- multimodal ai
- high-quality data
- supervised fine tuning
- data labeling
- financial services
- custom datasets
- adversarial prompt testing
- ai safety research
- crowdsourcing
- data annotation services
- ai lifecycle
- crowd workforce
- multimodal model evaluation
- data annotation platform
- data management
- ai model evaluation
- off-the-shelf datasets
- multilingual ai datasets
- ai safety
- crowd-based data annotation
- b2b
- e-commerce
- benchmarking
- model fine-tuning
- d2c
- data security
- video annotation
- ai training data
- ai model fine-tuning
- image annotation
- multimodal data
- ai data platform
- data pipeline
- ai automation
- data services
- bias reduction
- ai safety testing
- retail
- data annotation
- ai model training
- quality assurance
- human-ai collaboration
- llm training
- pre-labeled datasets
- crowdsourced data
- language data
- audio annotation
- geospatial data
- performance benchmarking
- customized data solutions
- data tagging
- sentiment analysis
- intent recognition
- named entity recognition
- transcription services
- data diversity
- training datasets
- ai life cycle
- bias detection
- data processing
- ai solutions
- content personalization
- data curation
- annotation services
- speech annotation
- action recognition
- gesture recognition
- statistical data analysis
- automated data collection
- product recommendation systems
- healthcare
- finance
- education
- non-profit
- consumer products & retail
- information technology & services
- consumers
- enterprise software
- enterprises
- computer software
- environmental services
- renewables & environment
- productivity
- communities
- computer & network security
- analytics
- health care
- health, wellness & fitness
- hospital & health care
- nonprofit organization management
Technologies Used
- AI
- Adobe Media Optimizer
- Amadesa
- Amazon AWS
- Amazon CloudFront
- Amazon Elastic Load Balancer
- Atlassian Cloud
- AudioEye
- Bootstrap Framework
- BugHerd
- Cedexis Radar
- Citrix
- Cloudflare DNS
- Crowd
- DoubleClick
- DoubleClick Conversion
- ExactTarget
- Facebook Custom Audiences
- Facebook Like Button
- Facebook Login (Connect)
- Facebook Widget
- Figma
- Google AdWords Conversion
- Google Analytics
- Google Dynamic Remarketing
- Google Font API
- Google Play
- Google Tag Manager
- Hotjar
- Hubspot
- Lever
- Linkedin Login
- Linkedin Marketing Solutions
- Linkedin Widget
- LiveRamp
- Marketo
- Microsoft Office 365
- Mixpanel
- Mobile Friendly
- MouseFlow
- New Relic
- Olark
- OneTrust
- Outlook
- Pagely
- Python
- React Redux
- Route 53
- Ruby On Rails
- Sardine
- Segment.io
- Stripe
- Twitter Advertising
- Vimeo
- Webflow
- Woopra
- WordPress.org
- YouTube