Yorph AI is an agentic data platform that democratizes data preparation — enabling product managers and analysts to directly transform their data, whether one-off or recurring.
It lets users join data from multiple sources, build version-controlled workflows, clean, analyze, and visualize, all in one place by just asking.
Yorph automatically generates a semantic layer, suggests cleaning and analysis improvements, and helps verify logic through dry runs and clarifying questions.
Built with a security-first mindset: data is never stored unless users opt in - it’s deleted after every session and the LLM never sees your data.
This weekend we released our first database connector. Users can connect, sync data, dry run workflows and execute workflows on big datasets within their Snowflake environment! BQ, Supabase and Postgres to follow very soon.
Product had at the time: 19 upvotes • 3 comments • 7 followers • 21 PeerPush
Over the past few weeks, we’ve been focused on improving the onboarding and learning experience for new users. Here’s what’s new:
- Help section inside the chat window
On top of suggested prompts and best practices, you can now ask detailed “how does this work?” questions - Yorph will walk you through everything step by step.
- Yorph University
We’ve launched a new video library showing how to sync data across sources, create data workflows, understand the semantic layer, and more. We’re adding new videos regularly - let us know what topics you’d like us to cover next!
- Blogs
We’ve been sharing our thoughts on the agentic data space for a few months now. We’ve also been focusing on making our security posture clear and accessible to users. Your data is yours and we treat it that way.
Product had at the time: 13 upvotes • 3 comments • 6 followers • 21 PeerPush
