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Bigeye, providing data quality automation, closes second round this year with $45M – TechCrunch

Data observability platform Bigeye raises $45M in new funding

Data Observability Startup Bigeye Scores $45 Million In Funding

BigEye (formerly Toro) scores $17M Series A to automate data quality monitoring – TechCrunch

Bigeye (formerly Toro) scores $17M Series A to automate data quality monitoring As companies create machine learning models, the operations team needs to ensure the data used for the model is of sufficient quality, a process that can be time consuming. Bigeye (formerly Toro), an early stage startup is helping by automating data quality. Today the company announced a $17 million Series A led Sequoia Capital with participation from existing investor Costanoa Ventures. That brings the total raised to $21 million with the $4 million seed, the startup raised last May. When we spoke to Bigeye CEO and co-founder Kyle Kirwan last May, he said the seed round was going to be focussed on hiring a team they are 11 now and building more automation into the product, and he says they have achieved that goal.

Data Quality Tech Startup Bigeye Raises $17M In Series A Funding

Data Quality Tech Startup Bigeye Raises $17M In Series A Funding With its data quality engineering platform the company aims to bring to data operations the kind of practices found in DevOps and IT management. By Rick Whiting April 15, 2021, 03:01 PM EDT Big data startup Bigeye has raised $17 million in Series A funding, the company said Thursday, providing resources the company will devote to accelerating development of its data quality engineering platform and expanding its go-to-market efforts. The funding round was led by Sequoia Capital with participation from existing investor Costanoa Ventures. The round brings the San Francisco-based company’s total financing to $21 million, including $4 million in seed funding the company raised last year.