
Chaos Genius
Data FinOps platform optimizing cloud data costs.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
* | $3.3m | Seed | |
Total Funding | 000k |
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Chaos Genius is a DataOps observability and FinOps platform designed to help organizations monitor and optimize their cloud data warehouse expenditures. The company was founded in 2021 by Preeti Shrimal (CEO) and Harshit Surana (CTO). The platform primarily targets clients utilizing services like Snowflake and Databricks, with plans to expand to Amazon Redshift and Google BigQuery.
The core of Chaos Genius's service is its ability to provide deep visibility into a company's data warehouse usage, analyzing millions of queries to identify inefficiencies. It offers features such as cost visibility dashboards, automated optimization recommendations for instance rightsizing and workload tuning, and identification of unused data to reduce storage costs. By providing real-time alerts on cost spikes and performance issues, the platform enables data teams to manage their spend proactively, potentially reducing data costs by up to 30%. This addresses a common challenge for enterprises: the lack of predictable costs and pricing transparency in cloud data management.
The company began as an open-source tool focused on business observability, using machine learning for anomaly detection and root cause analysis before pivoting to cloud cost optimization. Chaos Genius has raised a total of $3.42 million over two seed rounds, with notable investors including Y Combinator and Elevation Capital. This funding is aimed at expanding its platform capabilities and market reach.
Keywords: Data FinOps, cloud cost optimization, Snowflake, Databricks, DataOps observability, workload tuning, instance rightsizing, query performance, data warehouse, cost management, anomaly detection, cloud analytics, cost reduction, data infrastructure, Preeti Shrimal, Harshit Surana, Y Combinator, Elevation Capital, business observability, cloud spend