Startup Datafold raises $20M

Datafold, a startup that automates workflows and maintains data quality, today announced it has raised $20 million in a series A round of funding, led by NEA (New Enterprise Associates). The investment, which also saw participation from Amplify Partners, Databricks, and Dbt Labs, will be used by the company to further develop its data reliability platform and expand its team.

For any data-driven organization, ensuring the quality of data pipelines on a day-to-day basis is the key to having well-functioning dashboards, properly trained AI and ML models, and accurate analytics. However, with an explosion in the variety and volume of data as well as increasing requirements to deliver data products faster, data engineers using manual methods of testing, monitoring, and quality assurance often find themselves struggling. They fail to keep up with the complexity.

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