Yorph AI
PaidYorph AI is a no-code data platform that uses AI agents to let business users clean, join, and analyze data through natural language, without needing SQL knowledge.
About Yorph AI
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.
How to Use
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.
Yorph AI's
Key Features
- 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
Use Cases
- 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
Key Features
Pros & Cons
- No SQL knowledge required—accessible to non-technical users
- Natural language interface reduces learning curve for data tasks
- AI agents can automate repetitive data preparation steps
- Enables faster, self-service data analysis within business teams
- Contact-based pricing may allow custom enterprise agreements
- Pricing is not publicly transparent; requires contacting sales for details
- Free tier availability and limits should be verified directly
- Dependence on AI accuracy for interpreting natural language queries
- May have limitations on supported data sources or file types
- Requires internet access as a SaaS platform
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