Scale Analytics Without an Engineering Team
Yorph helps democratize data pipeline creation across your organization. Empower business teams with self-service analytics while maintaining governance and security controls.
What You Can Achieve with Yorph
Purpose-built features that accelerate your data workflows
Analytics Engineering
Build and maintain data models, transformations, and quality checks. Enable teams to develop reliable analytics workflows.
Daily Financial Analysis
Automate daily financial analysis with AI-powered pipelines. Ensure accurate, consistent reports every time.
Semantic Layer Creation
Build a unified semantic layer that defines business metrics once. Ensure everyone speaks the same data language.
Self-Service Analytics
Empower business users to answer their own questions. Reduce the analytics backlog while maintaining quality.
Data Governance
Enforce data standards and access controls through the semantic layer. Ensure consistent, trusted metrics across the organization.
Scalable Workflows
Build analytics workflows that scale with your organization. Handle growing data volumes without added complexity.
How It Works
Get started in minutes with our intuitive workflow
Connect your data
Link your data sources in minutes—no engineering required. Yorph connects to your warehouse, or files.
Chat with the agent
Describe the analysis or pipeline you need in plain language. The agent builds, validates, and explains each step.
Evolve the semantic layer
Every interaction refines your metrics and definitions. The semantic layer grows smarter as your team uses it.
Frequently Asked Questions
Can non-technical team members really use this?
Yes. The natural language interface means anyone can build data workflows. Complex transformations are described in plain English.
How do I ensure consistency across the organization?
The semantic layer lets you define metrics once. All team members use the same definitions, eliminating conflicting numbers.
What about enterprise security requirements?
Yorph supports encryption at rest and in transit, and is undergoing SOC 2 compliance. The LLM only sees high-level statistics, not the actual contents of your data. Your data is not used to train the LLM.
Related Use Cases
Ready to Transform Your Data Workflows?
Join teams using Yorph to automate their data analysis and save hours every week.
Explore our AI analytics pipelines, see our platform comparisons, or learn about our security practices.