Cloudfactory is a futuristic human-powered data processing platform for AI and automation. It delivers a scalable human-in-the-loop workforce to accelerate AI initiatives and automate business operations effectively. Esteemed organisations like Microsoft, Expensify, Ibotta, Luminar, etc. rely on the services provided by this platform. With a plethora of intuitive features, it delivers high accuracy, real-time data processing and exceptional edge-case resolutions. Cloudfactory helps businesses extend their teams by providing a thoroughly vetted and skilled workforce management facility to deliver high-quality output. Businesses can also depend on the same to scale video and image annotation with pixel-level accuracy taken care of by professionally managed data annotators. They can also leverage the platform to streamline natural language and data processing services as per convenience. Businesses serving across industries like finance, healthcare, transportation, agriculture and retail can depend on Cloudfactory to streamline their operational experience in a hassle-free manner.
Data Annotation Solution
Custom
Fully managed workforce, vetted and trained for your use case
Dedicated project managers and Client Success support
Capacity control management (hourly, daily, or weekly based on project)
SOC 2 certified
Workforce security: screening, NDA, activity monitoring
Monthly subscription pricing
Easy opt-out 30 day cancellation terms
Advanced network security
AES256 encryption
Premium workstations
Annotation tool
Responsibility for tool setup, maintenance, and uptime: CloudFactory
Guarantees a workforce with prior experience on toolset used: Yes
Minimum number of hours: monthly subscription: 300 hours/mo
Minimum number of hours: one-time project: 1000 hours
Managed Workforce
Custom
Includes features of Data Annotation Solution
Bring-your-own-tool (BYOT) option Commercial, open source, or proprietary
Responsibility for tool setup, maintenance, and uptime: Client
Guarantees a workforce with prior experience on toolset used: No
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