What is Yorph AI?
Yorph AI is an agentic data platform designed to bridge the gap between complex data engineering and business decision-making. It empowers both analytics teams and business users to sync, transform, and visualize data through a no-code, AI-driven interface. By automating repetitive workflows, Yorph AI turns raw data into analysis-ready datasets, allowing you to focus on strategy rather than data wrangling.
Key Features
- 🤖 AI-Powered Agentic Engine: Build complex analytical pipelines simply by describing your needs to the AI agent. Yorph handles the background workflows—cleaning, joining, and transforming data—while providing a simple, chat-based experience that requires no SQL or technical expertise.
- 🧠 Automatic Semantic Layer: Ensure a single source of truth across your entire organization. Yorph automatically detects data structures and creates a semantic layer that understands business context, relationships, and metrics, so everyone works from the same governed data.
- 🛡️ Privacy-First Security Architecture: Maintain total control over your sensitive information. Yorph’s "Security First" approach ensures that the LLM only sees sanitized schemas, never your actual data values, and your data is never used for model training.
- 🔌 No-Code Data Connectors: Connect to your data sources in minutes without engineering support. Whether you are using cloud storage like Google Drive and OneDrive, or data warehouses like Snowflake, you can integrate your data silos into a unified view instantly.
- 🧪 Dry Run Validation: Ensure accuracy and reliability before scaling. You can test and validate your data transformations on representative samples, allowing for a "human-in-the-loop" approval process before executing workflows on full production datasets.
Use Cases
- Financial Performance Tracking: Instead of manually merging spreadsheets, you can ask Yorph to "calculate EBITDA and other financial ratios" across multiple CSV files. The platform will join the relevant data and generate instant visualizations like area charts to track performance.
- Marketing Cohort Analysis: Product managers can quickly build customer signup and first-order cohorts to analyze retention. By automating the pipeline, you can move from raw transaction logs to strategic lifecycle insights in a fraction of the usual time.
- Operational SLA Monitoring: Operations teams can automate the tracking of order lifecycles. By connecting directly to your data source, Yorph can monitor performance against SLAs and provide actionable recommendations when bottlenecks occur.
Conclusion
Yorph AI serves as a "data expert in your pocket," enabling business leaders and analysts to collaborate within a single, secure environment. By removing the technical barriers to data transformation, it allows your team to scale its analytical capabilities without increasing complexity.
More information on Yorph AI
Launched
Pricing Model
Freemium
Starting Price
$29.99/month
Global Rank
Follow
Month Visit
<5k
Tech used
Yorph AI was manually vetted by our editorial team and was first featured on 2025-12-24.
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