Mystrika
Appen is a provider of AI training data and human-in-the-loop services for training, fine-tuning, and evaluating AI models. The company serves enterprises across generative AI, LLM, computer vision, and speech recognition domains. Appen operates a global crowd of over 1 million contributors in more than 200 countries.
Appen has been a leader in AI training data for over 25 years, providing high-quality, human-generated datasets that power leading AI models. The company uses an end-to-end platform with scalable human-in-the-loop services to help AI innovators build and optimize cutting-edge models. Its global crowd of more than 1 million contributors spans over 200 countries, ensuring accurate and diverse datasets.
Founded in 1996, Appen is headquartered in Kirkland, Washington, United States, and employs 1,000 or more people. The minimum budget and average hourly rate are available on inquiry. The company emphasizes a culture of innovation, collaboration, and excellence, with flexible work arrangements and opportunities for continuous learning.
Appen specializes in creating bespoke data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, and speech recognition. Its solutions support critical functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation. The advanced AI-assisted data annotation platform is central to its service offering.
Appen's client list includes major enterprises such as Boeing, Best Buy, and Siemens, indicating work across aerospace, retail, and industrial sectors. The profile notes that its team works closely with the world's top technology companies and enterprises, tackling challenges in artificial intelligence.
Google reviews on the profile give Appen a 3.0 rating based on six reviews. Feedback is mixed: some reviewers praise the staff and describe it as a favorite gig, while others report serious concerns about payment delays, denied reimbursements, onboarding fees, and communication issues. These complaints appear repeatedly across several negative reviews.
No specific performance metrics or project results are listed on the profile. The company's scale, long history, and recognizable client names suggest substantial capabilities, but the review sentiment indicates that prospective partners should weigh the mixed contractor experiences alongside the enterprise-facing strengths.
Services
- AI Development
Team Size
Pros
- Over 25 years of leadership in AI training data
- Global crowd of 1M+ contributors across 200+ countries
- Trusted by major enterprises including Boeing, Best Buy, and Siemens
Cons
- Google reviews cite complaints about payment delays, denied reimbursements, and onboarding costs
Client Review Analysis
Mixed Google reviews (3.0 average) with praise for staff but multiple complaints about payment issues and onboarding fees.