The Agentic Data Platform for Business users

Actions + Strategy
Attribution Analysis + Insights
Analytics Pipelines / Feature Engineering
Evolving Semantic Layer
Data Engineering
We built Yorph around three tenets that separate real analytics from toy demos.
Run complex attribution analysis, not just simple look-ups. Other AI data tools answer surface-level questions. Yorph handles the hard stuff.
Other AI tools
"Show me sales by region"
Yorph
"Identify the key revenue drivers over the past year"

"Run a full attribution analysis on our marketing spend vs. revenue"
User prompt
"Refine to focus on digital channels only"
User refinement
✓ Complete analysis delivered
Pipeline built, validated & visualized
Users don't need to ask multiple questions or babysit the process. Get a complex analysis done in 2 prompts — not 20.
Yorph's agentic system autonomously plans the pipeline, selects transformations, and produces validated results with minimal back-and-forth.
Intermediate output at every step, plus validation checks built in to ensure accuracy. No black boxes — every transformation is visible and explainable.

"I use Yorph to analyze facility usage and sports team win rate factors. Yorph handles the most complex part of my workflow, data transformation. As a non-programmer, this unlocks analysis I wasn't really doing before."
Nick B
AD of Sports, UNC Asheville
From Data Wrangling to Strategic Insights
Yorph helps automate repetitive data workflows with AI-powered pipelines. Transform raw data into analysis-ready datasets while you focus on strategic analysis.
Become the strategic analyst you were hired to be.
Run a cooccurrence analysis for my given data
Selected files:

Business users no longer wait days or weeks for data insights. They now have a way to run complex, recurring analyses they can actually trust and explain, by asking questions in plain language.
You talk to Yorph about what workflow you need and it happens in the background, wrapped inside an AI experience that feels simple.
Learn more about the tech used behind our AI →Interaction improves accuracy, lineage, and controls - automatically. The more you use the tool, the better it gets.
Run your transformations on a smaller dataset first. Validate your logic, preview results, and confirm everything works exactly as expected before scaling to your full production data.
It's your data, we treat it that way.
Enterprise-grade compliance certification underway
Not the actual contents of your data — your data stays private
Unless you explicitly opt in to data retention
Your data remains private and is never used to train models
Environment-level segregation for enterprise security
You approve before anything executes
Analysts build pipelines. Business users ask questions. Everyone shares the same governed data.
Watch how teams transform their data workflows with AI-powered analytics