RightData is a low-code, generative AI-powered platform that transforms raw data into business-ready data products, enabling users to ingest, cleanse, and catalog data without writing code. The platform addresses the challenges of data quality, governance, and accessibility, allowing organizations to efficiently share and analyze trusted data across their operations.
Funding
$8M 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
Organizations struggle to transform raw data into trusted, business-ready data products due to challenges in data quality, governance, and accessibility. Traditional methods often require extensive coding and specialized expertise, creating bottlenecks and hindering efficient data sharing and analysis.
Solution
RightData provides a low-code, generative AI-powered platform that streamlines the creation, governance, and delivery of data products. The platform enables users to ingest, cleanse, prepare, and catalog data without writing code, facilitating data sharing and self-service analytics. RightData addresses data reliability, integrity, and observability through integrated modules for data engineering, data quality, and a next-generation data catalog. The platform's DataTrust module ensures data verification and reconciliation, while the DataMarket module simplifies data findability and actionability, offering a marketplace-like experience for data consumers.
Target Audience
RightData targets Fortune 500 companies and other organizations seeking to improve data quality, governance, and accessibility for data engineers, data scientists, and data stewards.
Features
- Low-code/no-code visual interface for data ingestion, transformation, and cataloging
- Generative AI-powered assistance for data profiling, rule generation, and issue detection
- DataTrust module for continuous data quality monitoring, verification, and reconciliation
- DataMarket module for simplified data discovery, access, and action on data products
- Bi-directional connectors for batch, real-time replication, streaming, and APIs
- Native Spark-powered processing engine for scalability and high performance
- Support for cloud data warehouses and lakehouses, including Databricks, Snowflake, AWS Redshift, and Azure Synapse
- Data observability capabilities for monitoring data pipelines and ensuring data accuracy