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DefinedCrowd

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DefinedCrowd is a leading provider of high-quality AI training data. It leverages a global crowd to collect, annotate, and enrich data for machine learning models, specializing in speech, NLP, and computer vision. It offers a fully managed service to help companies build robust and unbiased AI applications at scale.

5.0
Added
2025-09-16
Price type:
Paid
Monthly traffic:
1.9B

DefinedCrowd Overview

DefinedCrowd, now part of Appen, is an intelligent data platform that provides high-quality training, validation, and testing data for Artificial Intelligence and Machine Learning applications. The company specializes in bridging the gap between AI models and human intelligence by delivering meticulously curated datasets. By leveraging a global, diverse crowd of contributors, DefinedCrowd ensures that AI systems are trained on data that is not only accurate but also representative of real-world human interactions, languages, and demographics, which is crucial for building fair and unbiased AI.

How to use DefinedCrowd

Engaging with DefinedCrowd is a streamlined, collaborative process designed for enterprise clients who require custom, high-quality datasets:

  1. Project Consultation: Clients begin by consulting with DefinedCrowd's experts to define the project scope, data specifications, quality metrics, and specific demographic requirements.
  2. Workflow Design: Based on the requirements, a custom data collection or annotation workflow is designed on the DefinedCrowd platform. This includes creating clear guidelines and qualification tests for crowd contributors.
  3. Crowd Sourcing: The project is launched to a targeted segment of DefinedCrowd's global community. Contributors who match the required profile (e.g., language, dialect, age) are invited to participate.
  4. Data Collection & Annotation: The crowd performs the required tasks, such as recording speech, taking photos, or labeling objects in images and text, all within the platform's controlled environment.
  5. Quality Assurance: All submitted data undergoes a rigorous, multi-layered quality assurance process. This includes automated validation, peer review, and final checks by expert linguists or annotators to ensure it meets the client's standards.
  6. Data Delivery: Once validated, the high-quality, structured dataset is delivered to the client in their desired format, ready for integration into their ML training pipelines.

Core Features of DefinedCrowd

  • Global Crowd Community: Access to a large, diverse, and vetted global community of contributors, enabling data collection in over 70 languages and various dialects.
  • Multi-Modal Data Services: Expertise in collecting and annotating a wide range of data types, including speech & audio, text & NLP, and image & video for computer vision.
  • End-to-End Managed Service: A fully managed solution that covers the entire data lifecycle, from project design and crowd management to quality control and final delivery.
  • Enterprise-Grade Platform: A robust and secure platform that supports complex annotation workflows, ensures data privacy, and provides clients with project transparency.
  • Rigorous Quality Control: A combination of automated checks, human-in-the-loop validation, and expert review to guarantee data accuracy, consistency, and quality.

Use Cases for DefinedCrowd

DefinedCrowd's data services are critical for a wide array of AI applications:

  • Conversational AI: Training and validating voice assistants, chatbots, and speech recognition systems with diverse, multi-lingual speech and text data.
  • Computer Vision: Powering autonomous vehicles, facial recognition systems, medical imaging analysis, and retail shelf monitoring with precisely annotated images and videos.
  • Natural Language Processing (NLP): Developing models for sentiment analysis, entity recognition, machine translation, and text summarization.
  • Content Moderation: Training AI to automatically detect and flag inappropriate or harmful content in text, images, and videos.

Advantages of DefinedCrowd

DefinedCrowd offers significant advantages for organizations developing AI:

  • Superior Data Quality: A relentless focus on quality assurance ensures that the training data is clean, accurate, and reliable, leading to better-performing AI models.
  • Scalability and Speed: The ability to quickly scale data collection and annotation projects to meet the demands of large-scale AI development.
  • Bias Reduction: By sourcing data from a diverse global population, DefinedCrowd helps mitigate algorithmic bias, resulting in fairer and more inclusive AI systems.
  • Expert Partnership: Clients benefit from the deep expertise of DefinedCrowd's team in data science and linguistics, ensuring projects are designed for success.

Pricing and Plans

DefinedCrowd operates on an enterprise model with pricing tailored to the specific needs of each project. Costs are determined by factors such as the volume of data, the complexity of the annotation task, the required languages and demographics, and the desired turnaround time. To get a quote, prospective clients need to contact the sales team to discuss their project requirements in detail.

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Traffic

Latest traffic

Monthly visits1.9B
Avg visit duration2:18
Pages per visit2.64
Bounce rate40.9%

Status

Falling-4.8%vs previous month
Updated at 2026-06-15

Monthly traffic trend

  • 2025-9: 1.9B
  • 2026-1: 1.8B
  • 2026-2: 1.8B
  • 2026-3: 2.0B
  • 2026-4: 2.0B
  • 2026-5: 1.9B

Geography

Top 5 countries / regions

  • 🇺🇸United States
    64.4%
  • 🇬🇧United Kingdom
    11.3%
  • 🇦🇺Australia
    8.4%
  • 🇨🇦Canada
    8.4%
  • 🇧🇷Brazil
    7.5%

Traffic sources

Source typePercentage
Referral
71.8%
Email
22.7%
Direct
5.5%
Total
100%
Referral71.8%
Email22.7%
Direct5.5%

Top keywords

KeywordCost per click
blackboard$1.09
gmail$1.85
microsoft 365$1.11
office 365$1.06
office 365 login$0.82

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