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TWIML
Cloud Factory
The data annotation platform and workforce bundle you’ve been waiting for
Cloud Factory Overview
Simplify and accelerate your data labeling processes with our fully managed, end-to-end data annotation service for one inclusive monthly price.
Expand All
Categories:
All
MLOps
Data
Data+MLOps
Sub-Categories (Data):
Data Collection
Data Content Moderation
Data Curation and Filtering
Data Labeling and Annotation
Data Labeling Marketplace
Data Marketplace
Data Provider
Data Transcription
Data Translation
Synthetic Data Generation
System-wide Features:
Teamwork and Collaboration
Enterprise Security
Governance
Enterprise Support
MLOps Features:
Data Acquisition
Data Versioning
Data Visualization
Data Preparation
Data Pipelines
Data Labeling
AutoML
Featurization
Feature Store
ML Pipelines or Workflows
Model Registry
Model Marketplace
Model Training
Distributed Model Training
Model Debugging
Experiment Management
Deep Learning Support
Reinforcement Learning Support
Bias Detection and Mitigation
Model Explainability
Hyperparameter Optimization
Model Packaging
Model Deployment and Serving
Edge ML Support
Model Monitoring
Cost Management
ML Infrastructure Orchestration
Accelerator Support
Kubernetes Support
Data Types Handled:
Text
Documents
Images
Video
Audio
3D point cloud
AR and VR
Geospatial
Data Labeling Done By:
Machine Labeling
Human Labeling
Human in the loop Labeling
Data Labeling Human Workforce Options:
Customer
Vendor Employees
Vendor Contractors
Third-Party Services
Selectable Citizen Geography
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Additional Product Information
Product Links
Website
Customers
Use Cases
Pricing
Deploys On
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Other Public Cloud
Kubernetes
NVIDIA
Private Cloud or Datacenter
SaaS
Cloud Factory Vendor Information
Vendor Overview
Scalable human-in-the-loop workforce to accelerate your artificial intelligence initiatives and optimize business operations.
Vendor Details
Website
https://www.cloudfactory.com
Contact Email
contact@cloudfactory.com
Phone Number
(203) 701-6275
Year Founded
2010
HQ Location
Reading, Reading, United Kingdom
Ownership
Private
Vendor Links
Company Blog
Engineering Blog
Partners
LinkedIn
Facebook
Twitter
GitHub
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