Yorph AI

Yorph AI is an intelligent data platform for modern data engineering. It aims to break the barrier between business teams and data work by combining no code convenience with the control and scalability of code first tools. The platform builds AI driven pipelines that handle repetitive workflows and, notably, keep running when a source system changes. It converts raw data from CSV, Excel, JSON, and XML into analysis ready datasets, offers visualization and self service analysis for business teams, keeps governance and security controls inside the pipeline process, and automates feature engineering for data scientists. Pricing is described as transparent and a free trial is available.

- Build automated pipelines that survive upstream schema changes

- Convert raw files into clean, analysis ready datasets

- Visualize data for teams without writing code

- Generate production ready pipelines and automate feature engineering

- Analysts and product managers who need metrics on demand

- Data scientists who want consistent, model ready datasets

- Data engineers who want to reduce pipeline maintenance

Free trial limits apply, and steady use means a paid plan, so cost the volume of pipelines you actually need rather than the headline price. Self service does not remove the need for someone to own definitions; if two teams count the same metric differently, automation spreads the confusion faster than before. Complex or messy sources still require setup work before the automation pays for itself. And governance controls help, but they do not replace a data policy for who may see what. Behavior may vary across browsers and devices, so test before production use and consult the help docs if errors appear.