Yorph Aiとは？
Yorph AI is an agentic data platform that democratizes data preparation by allowing business domain experts to directly transform their data. It let's business users (PMs, analysts, operations teams) sync, clean, transform, analyze, visualize data through workflows, by simply asking. We help users validate their logic through dry runs and clarifying questions, ensuring correctness before anything runs in production. And the platform includes built-in semantic awareness that continuously evolves as users interact with the agent.
A data engineer in your pocket for business users
主な機能
Natural language interface to clean, transform, analyze, visualize data
Integration across data connectors
Semantic layer
Customizable and version-controlled transformations
Dry run workflows (draft)
Saved prompts
Cleaning and analysis recommendations
Strict security controls and data privacy
主な活用例
- Recurring workflows such as daily/weekly reports
- Exploratory analysis (one-off) like cohort analysis, LTV
- Joining data across different sources
- Cleaning data
- Semantic layer creation Yorph AI
Feature Comparison
A functional comparison based on maker input.
要確認
Comparison details are provided for informational purposes and should be verified with the official website.
使い方
- You can get started with our free version. After you log in
- you’ll be guided through a quick welcome flow where you can set your data preferences — including whether or not you want your data to be stored. If you opt out of storage
- all data is automatically deleted when you log out. From there
- you can upload sample data or your own datasets. You can also connect and sync data through any of the available connectors. Once your data is synced
- you can start interacting with the agent to clean
- transform
- and analyze your data by simply talking to the agent.
評価されているポイント
レビュータグはまだありません。
改善できるポイント
レビュータグはまだありません。
よくある質問
Verification
Tool status
要確認
Pricing verified
要確認
Founder claimed
No / To be verified
Source
Official website / Community submitted
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