CloudFactory
Managed workforce for data labeling and AI training data
About CloudFactory
CloudFactory provides a managed workforce that performs data annotation, labeling and quality review for machine learning and document processing. Customers use it to produce training data and to handle human-in-the-loop review at scale.
Common use cases
- Create training data
- Validate model outputs
- Document data extraction
Products and services
Data labeling and annotation
Managed teams that label images, video, text and documents.
Human-in-the-loop review
Quality review and exception handling for AI workflows.
Document processing
Data extraction and validation services.
Pricing and editions. Computer vision work is generally billed per labeled object and NLP work hourly, with an annual agreement option and monthly billing, per a competitor's article.
Key features
- Managed annotation teams
- Quality assurance workflows
- Computer vision labeling
- NLP annotation
- Workflow integration
CloudFactory alternatives
FAQs
What does CloudFactory do?
It supplies managed teams that label and review data for AI and automation.
How is it priced?
Typically project- or volume-based services.
Who is it for?
Companies building computer vision, NLP and document AI systems.
Compare with similar providers
All Data Governance providersAcara ClimateClimate risk analytics for agriculture and investors
AccuWeatherWeather data, forecasts and APIs for business
AcxiomCustomer data, identity resolution and audience data for marketers
AppenAI training data, annotation and model evaluation services
CGGGeoscience data, imaging and subsurface analytics for natural resources
CognismB2B sales intelligence with privacy-compliant contact data
CotalityProperty data and analytics for real estate, mortgage and insurance
CotivitiHealthcare analytics for payment accuracy, risk adjustment and quality