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Based in Palo Alto, California, Anomalo develops an enterprise SaaS platform that utilizes machine learning algorithms to automatically detect anomalies and monitor data quality within large-scale cloud data warehouses. The organization provides data engineering professionals with automated validation tools that eliminate the need for manual rule creation. Anomalo has secured approximately $72 million in total venture capital funding to date, highlighted by a $33 million Series B financing round completed in January 2024. This recent investment was led by SignalFire, featuring additional strategic capital from Databricks Ventures alongside earlier backing from Norwest Venture Partners and Two Sigma Ventures. The platform integrates directly with major cloud infrastructure systems and is utilized by corporate customers including BuzzFeed, Discover Financial Services, and Block. Anomalo was established in 2018 by former Instacart data leaders Elliot Shmukler and Jeremy Stanley.
Anomalo has raised $72.0M across 3 funding rounds.
Anomalo has raised $72.0M in total across 3 funding rounds.
Anomalo has raised $72.0M in total across 3 funding rounds.
Anomalo's investors include SignalFire, Ansa Capital, Ballistic Ventures, Fifth Wall, Fika Ventures, Kain Capital, Norwest Venture Partners, Susa Ventures, Andrew Ferguson, Foundation Capital, Two Sigma Ventures, Parker Barrile.
Anomalo is a technology company that builds an AI-powered data quality platform designed for enterprise-scale data monitoring. Its product uses unsupervised machine learning to automatically detect data quality issues and anomalies across large datasets, providing instant root cause analysis to help data teams quickly identify and resolve problems before they impact business operations. Anomalo serves data teams in modern enterprises that rely on high-quality data for analytics, AI, and operational decision-making. The platform supports monitoring of both structured and unstructured data, integrates with data catalogs and ticketing systems, and is trusted by industry leaders such as Discover Financial Solutions and Block. Its AI-first approach enables proactive data quality management at scale, improving operational efficiency and business outcomes[1][2][3][4][6].
Anomalo was founded in 2018 by Elliot Shmukler and Jeremy Stanley, former Instacart employees who bonded over their shared passion for data and frustration with data quality challenges. They created Anomalo as a no-code platform to validate and document data warehouse information, aiming to solve persistent data quality problems experienced in large-scale data environments. Early traction came from enterprises adopting the platform to automate anomaly detection and root cause analysis, which differentiated Anomalo in the data observability market. The company has since raised significant funding, including a $33M Series B led by SignalFire, and counts Snowflake Ventures among its investors[1][3].
Anomalo rides the growing trend of AI-driven data observability and quality assurance in the era of big data and cloud data warehouses. As enterprises increasingly rely on data for AI, analytics, and operational decisions, ensuring data trustworthiness becomes critical. The timing is favorable due to the widespread adoption of modern data stacks (e.g., Snowflake, Databricks) and the rising complexity of data pipelines, which increase the risk of data defects. Anomalo’s automated, scalable approach addresses these challenges by reducing manual monitoring overhead and accelerating issue resolution. Its innovations in unstructured data quality monitoring also position it well for the expanding use of generative AI and natural language processing applications. By improving data reliability, Anomalo influences the broader ecosystem by enabling better business insights and AI outcomes[1][3][6][8].
Looking ahead, Anomalo is poised to deepen its impact by expanding capabilities in unstructured data quality and generative AI readiness, areas critical for next-generation AI applications. Continued integration with leading cloud data platforms and enhancement of automation features will likely drive further enterprise adoption. Trends such as increasing data volume, complexity, and regulatory scrutiny will heighten demand for AI-powered data quality solutions like Anomalo’s. Its influence may grow beyond data teams to broader business units as data quality becomes a universal concern. Overall, Anomalo’s AI-driven, scalable platform aligns well with the evolving needs of data-driven enterprises, suggesting strong growth and innovation potential in the coming years[3][6][8].
Anomalo has raised $72.0M across 3 funding rounds. Most recently, it raised $33.0M Series B in January 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2024 | $33M Series B | SignalFire | Ansa Capital, Ballistic Ventures, Fifth Wall, Fika Ventures, Kain Capital, Norwest Venture Partners, Susa Ventures, Andrew Ferguson, Foundation Capital, Norwest Venture Partners, TWO Sigma Ventures | Announced |
| Oct 1, 2021 | $33M Series A | Parker Barrile | Ansa Capital, Cream City Venture Capital, Fifth Wall, Fika Ventures, Kain Capital, NextView Ventures, Norwest Venture Partners, Susa Ventures, The General Partnership, Andrew Jones, AYO Omojola, Peter Kazanjy, First Round Capital, Foundation Capital, TWO Sigma Ventures, Village Global | Announced |
| Dec 1, 2020 | $6M Seed | Phin Barnes, Foundation Capital | Cream City Venture Capital, The General Partnership, AYO Omojola | Announced |
