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Scale AI

Better Data.
Scale AI Overview
Better data leads to more performant models. Performant models lead to faster deployment. Deliver value from your AI investments faster with better data.
  • 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
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • NVIDIA
  • Private Cloud or Datacenter
  • SaaS
Scale AI Vendor Information
Vendor Overview
Better data leads to more performant models. Performant models lead to faster deployment. We help deliver value from AI investments faster with better data by providing an end-to-end solution to manage the entire ML lifecycle.
Vendor Details
Year Founded
2016
HQ Location
San Francisco, California, United States
Ownership
Private
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