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Yorph AI

Yorph AI

Unclaimed

Data expert in your pocket — run complex analytics without coding

Updated Jun 2026 · Added Jun 2026
yorph.ai
Ai ProductivityFreeai-data-analysis
Yorph AI

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What is Yorph AI?

Yorph AI is an agentic data platform that enables business users to run complex analytics and data transformations without coding. It autonomously builds data pipelines, performs attribution analysis, and delivers business insights by understanding natural language questions. Built for analysts, product managers, and business leaders who need deeper insights faster while maintaining data privacy and transparency.

Key Features of Yorph AI

  • Agentic data pipeline automation
  • Complex attribution analysis
  • Natural language data querying
  • Automated data transformation and cleaning
  • Step-by-step pipeline visibility with validation checks
  • Adaptive semantic layer that improves with usage
  • Sandbox environment for safe testing
  • Multiple data connectors (Snowflake, BigQuery, Google Drive, OneDrive, Dropbox, CSV/Excel/JSON/XML)
  • Enterprise-grade security with workspace isolation
  • Shared semantic layer for team governance

Who Should Use Yorph AI?

Analyze facility usage and performance factors

Identify key revenue drivers and attribution

Run cooccurrence analysis on customer data

Track order lifecycle and SLA performance

Automate repetitive data workflows

Create customer cohort analysis

Consolidate and prepare data for business intelligence

Democratize data analysis for non-technical business users

Yorph AI: Pros & Cons

Pros

  • Handles complex analysis that other AI tools cannot
  • Minimal back-and-forth required — complex analysis in 2 prompts vs 20
  • Full transparency with intermediate outputs and audit trails
  • No SQL or technical skills required
  • Autonomous pipeline planning and execution
  • Faster insights — business users no longer wait days or weeks
  • Reduced tool costs through consolidation
  • Data stays private — LLM only sees high-level statistics
  • Data deleted on logout unless explicitly opted in
  • User data never used for LLM training

Cons

  • SOC 2 Type 2 certification still in progress
  • Requires data source connections (not standalone analysis)
  • Sandbox testing adds extra step before production execution

Tool Details

Pricing
Free
Added
Jun 2026
Last Updated
Jun 2026

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