In the realm of expanding data repositories, the detection of potentially detrimental data anomalies takes on heightened significance, especially in the context of machine learning models. Anomalo steps in with an automated solution, leveraging machine learning to tackle the critical issue of data viability.
Anomalo integrates with enterprise data warehouses, like Snowflake, where extensive corporate data is stored. Its role involves vigilant monitoring and identification of unusual discrepancies and undesirable alterations across these datasets. Given the pivotal role data plays in business operations, such early detection of issues becomes imperative.
The company is on a roll, closing out the third quarter of 2024 with an impressive 177% year-over-year growth in annual recurring revenue. With high-profile clients like BuzzFeed, Discover, and Substack, and a successful recent funding round, Anomalo shows no signs of slowing down. The new funds will fuel further advancements in its platform and help scale engineering and go-to-market teams, perfectly positioned to meet the skyrocketing demand for Anomalo's solutions.
Freddie
Company Specialist at Welcome to the Jungle