Upriver Data
Data Quality Management Platform with Source-Level Contract Enforcement
Company Overview
Snapshot
Founded in January 2024 by Ido Bronstein and Omri Lifshitz, Upriver Data operates with 11–50 employees. The company has secured $14 million across two funding rounds from four investors.
Business overview
Upriver Data provides a data quality management platform designed to help organizations create, manage, and enforce data contracts directly at the source. The platform utilizes a knowledge graph to automate the generation of data contracts, ensuring data producers adhere to defined expectations and maintain data integrity throughout the pipeline. It offers features such as real-time monitoring, code-level enforcement via CI/CD integration, and compatibility with existing tools like Great Expectations, dbt, and Databricks. Upriver Data serves the enterprise market, focusing on IT, R&D, and data solutions within the Business Software sector, leveraging AI and Machine Learning for data analysis and decision support.
Strategic signal
Upriver Data's Seed funding round in June 2026, with participation from Valley Capital Partners. This capital infusion is crucial for accelerating product development and market expansion, indicating a positive trajectory for the company in addressing critical data integrity challenges for enterprises.
Log in to access full profile ›Company Intelligence Q&A
- What is Upriver Data's primary offering?
- Upriver Data provides a data quality management platform that enables organizations to create, manage, and enforce data contracts at the source, ensuring data integrity across the pipeline.
- When was Upriver Data founded and by whom?
- Upriver Data was founded in January 2024 by co-founders Ido Bronstein and Omri Lifshitz.
- How much capital has Upriver Data raised in total?
- Upriver Data has raised a total of $14 million across two funding rounds.
- What technologies does Upriver Data's platform integrate with?
- Upriver Data's platform offers code-level enforcement through CI/CD integration and is compatible with tools such as Great Expectations, dbt, and Databricks.