Anomalo’s Data Quality Methodology Using Machine Learning is Booming
When Anomalo’s co-founders left Instacart in 2018, they thought they could put machine learning to work to solve data quality problems inherent in large data sets.
Five years later, the company’s idea is even more relevant as data quality takes center stage with large language models.
Today, the startup announced a $33 million Series B, equaling their 2021 Series A and bringing the total raised to $72 million, according to the company.
As companies store increasingly large amounts of data in cloud storage and data warehouses like Databricks and Snowflake, this need has only become more pronounced, he says.
SignalFire led the $33 million Series B investment with participation from strategic investor Databricks Ventures.
