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About Datamaker Synapse

Datamaker Synapse is a data management platform from Datamaker that supports AI development. It provides an integrated workspace for managing and verifying AI data, smart information delivery through card, thumbnail, and browsing features, and modular permission management to improve security and collaboration. This solution allows users to design data quality from tasks to verification, ensuring comprehensive data handling. Datamaker Synapse enables teams to efficiently work through the entire data lifecycle while maintaining high standards for data integrity. Key capabilities: integrated workspace smart information delivery modular permission management data quality design data lifecycle management Best for: AI development teams that need a comprehensive solution for managing and validating data.

Datamaker Synapse Details

Vendor
Datamaker
Year Launched
2018
Location
CU Building 4F, 871 Yuseong-daero, Yuseong-gu, Daejeon
Deployment
cloud
Training Options
Countries Served
Korea
Languages
Korean
Users
Developers, Data engineers, ML teams, Enterprise teams, Researchers
Industries Served
AI development teams, Data science, Enterprise ML, MRO, Autonomous systems, Defense, Research institutions
Tags
AI development, MLOps, data labeling, machine learning, data catalog, neural networks, annotation, version control, hyperparameter tuning

Datamaker Synapse's In-App Market Place

Does Datamaker Synapse have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

KRW (₩)

Pros & Cons

  • End-to-end AI development platform eliminates the need for multiple separate tools.
  • Intuitive data catalog and natural language search significantly reduce time spent locating datasets.
  • Smart annotation tools like Auto Polygon and Auto Keypoint accelerate labeling and reduce errors.
  • Version control and composition ratio management ensure stable and balanced dataset handling.
  • Real-time experiment monitoring allows teams to adjust experiments on the fly.
  • Dependence on plugins for extended file format support may require additional setup.
  • Requires technical knowledge to configure GPU resources optimally.
  • Advanced ML features like HPO may be overwhelming for small teams.
  • Limited real-time collaborative editing across multiple users.

Datamaker Synapse's Support Options

Email Address

info@datamaker.io

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