Do I need coding skills to use Yorph AI?

No, Yorph AI is a no-code platform. You can perform complex data cleaning, joins, and analysis by simply chatting with the AI agent in plain language.

What data sources does Yorph AI support?

You can upload CSV, Excel, JSON, or XML files. It also connects to Google Drive, Dropbox, and OneDrive, with Snowflake and BigQuery integrations available for higher tiers.

Is my raw data sent to the AI models?

No. Yorph AI uses a security-first architecture where the LLM only sees high-level statistics and metadata to generate logic, while the actual data processing happens in a secure, isolated environment.

What is a semantic layer in Yorph AI?

It is an automated layer that understands your data's meaning and business context, allowing the system to maintain consistent definitions and metrics across different analyses.

Can I automate my data workflows?

Yes. Paid plans include pipeline orchestration which allows you to schedule and coordinate data processing workflows to run automatically at your preferred frequency.

How does the billing cycle work?

Subscriptions are billed monthly and renew automatically. You can upgrade, downgrade, or cancel at any time through your account dashboard.

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Business Intelligence

Freemium

Yorph AI

A no-code agentic data platform that uses AI to clean, join, and analyze data via natural language. Build production-ready pipelines and visualizations without writing SQL.

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Rating

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Upvotes

3 months ago

Listed

Business Intelligence

AIdataengineering

nocode

startuptools

Data Analytics

Data Pipeline

AI Agents

No-Code Data Science

Tool information

Provider

Yorph AI

Platforms

Web

Languages

English

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

Freemium

About Yorph AI

What the tool does and who it's for

Yorph AI is an agentic data platform designed to bridge the gap between raw data and business decision-making. It enables business users and analytics teams to build, run, and govern data pipelines through natural language conversations, eliminating the need for SQL or Python. The platform features a security-first architecture where Large Language Models (LLMs) generate logic based on metadata without ever seeing raw data rows. Key technical components include a multi-agent system built on Google’s Agent Development Kit (ADK) and background integration with dbt for production-ready, version-controlled SQL transformations. It supports automatic schema detection, the creation of a self-healing semantic layer, and provides sandbox environments for dry-run verification before executing workflows on full datasets.

Key capabilities

Conversational Data Engineering: Build and manage data pipelines using natural language commands.

Privacy-Centric Architecture: Processes data in a deterministic environment so LLMs never see raw data rows.

Self-Healing Pipelines: Workflows adapt to minor changes in source data structure automatically.

Dry Run Verification: Preview and validate transformation logic on sample data before full execution.

Automated Semantic Layer: Standardizes definitions and relationships to ensure a single source of truth.

Multi-Agent System: Specialized AI agents handle specific tasks like validation, transformation, and visualization.

dbt Integration: Generates production-grade, version-controlled SQL in the background.

Cloud Storage Connectors: Native support for Google Drive, Dropbox, OneDrive, and BigQuery.

Pricing

Freemium — plans below

Free

Limited access to Yorph agent
Limits on file size
No credit card required

Basic

Teams

Contact sales

Sharing across teams workspace
Expanded set of data connectors
Extended limits on schedules
Basic support

Enterprise

Contact sales

Much higher transformation limits
Unlimited schedules
Custom data connectors
Premium support

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