Rupyz provides an integrated data‑automation platform that connects to multiple sources, extracts, transforms, and validates data, and delivers ready‑to‑use datasets through a unified, no‑code workflow builder. The system automates ETL tasks, offers real‑time monitoring, role‑based access control, and API/webhook delivery, helping data engineering and analytics teams reduce manual effort, improve data quality, and accelerate decision‑making.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses that need to collect, process, and analyze large volumes of data often rely on fragmented tools and manual pipelines, leading to inefficiencies, errors, and delayed insights.
Solution
Rupyz offers an integrated data‑automation platform that connects to multiple data sources, extracts and transforms information, and delivers ready‑to‑use datasets through a unified interface. The system automates routine ETL tasks, applies configurable validation rules, and provides real‑time monitoring of data flows. Processed data can be exported to analytics tools, BI dashboards, or downstream applications via APIs or scheduled deliveries. By centralizing data operations, Rupyz reduces manual effort, improves data quality, and accelerates decision‑making for enterprises.
Target Audience
Primary customers are data engineering teams, business analysts, and IT departments in mid‑size to large enterprises that manage complex data integration and reporting workflows.
Features
- Connectors for common databases, SaaS services, and file storage systems
- Visual workflow builder for designing ETL pipelines without code
- Built‑in data validation and cleansing rules with customizable alerts
- Real‑time execution monitoring and error reporting dashboard
- API and webhook endpoints for automated data delivery to downstream systems
- Role‑based access control and audit logging for compliance