Products
Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale Enterprise AIModels to support your business use cases.
Scale NucleusThe mission control for your data
Scale ValidateCompare and understand your models
Scale LaunchShip and track your models in production
Scale Document AITemplate-free ML document processing
Scale Content UnderstandingManage content for better user experiences
Scale SyntheticGenerate synthetic data
Solutions
Resources
Resource Library
Blog
Events
Open Datasets
Interviews
Documentation
Guides
Customers
Pricing
Conference
AI Readiness Report 2022
Company
Why Synthetic
Enhancing model performance by complementing real-world datasets
Augmenting Data
Augment ground-truth training data with infinite varieties of synthetic data and seamlessly integrate with existing ML data pipelines.
Boost Model Performance
Create synthetic datasets from scratch, or combine synthetic and real data to enhance performance on key edge cases.
Close the Reality Gap
Leverage Scale's unique human-in-the-loop synthetic data generation process to create realistic synthetic data.
Privacy and Bias Avoidance
Overcome data privacy and bias issues with synthetic data generated according to specified parameter distributions.
Leverage Your Data
Seamlessly integrate your synthetic data with Scale’s ecosystem of data-centric ML products to get the most out of your data.
Rapid Prototyping
Reduce data collection, curation, and annotation wait times to enable faster experimentation and prototyping.
DATA INPUTS
Supported Data Types
2D
3D
How It Works
Build Better Datasets
“Kodiak uses synthetic data not as an alternative to real-world data, but as a complement; Scale Synthetic is an important enabler of that approach. By using Scale Synthetic to efficiently generate a large number of rare edge cases, the Kodiak Driver leverages the best of both real and synthetic data. Everything integrates seamlessly with our existing data labeling pipeline and data”
Derek Phillips
Senior Software Engineer, Kodiak Robotics
