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To help users automatically detect data issues and understand their root causes, before anyone else.
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.
Despite its recent inception, Anomalo has already gained recognition with notable clients, including BuzzFeed, Discover, and Substack. Employeing a unieuq revenue model, the company charges based on the monitored dataset, as opposed t the conventional user or data flow approach. Furthermore, Anomalo is in an active phase of product expansion, recently forging strategic alliances and actively seeking new talent across various domains to further proel its growth trajectory.
Freddie
Company Specialist at Welcome to the Jungle
Nov 2024
$10m
SERIES B
Jan 2024
$33m
SERIES B
This company has top investors
Elliot Shmukler
(CEO)A Product and Growth leader with more than 20 years of experience with Internet Consumer Software products. Previous VP of Product and Growth for Wealthfront Inc., and Chief Growth Officer at Instacart.
Jeremy Stanley
(CTO)A data science, machine learning, and AI leader. Previous CTO at Collective, Chief Data Scientist & EVP of Engineering at Sailthru, and VP of Data Science at Instacart.
Software Engineering