Parseable Secures S$2.75Million Investment in the Seed Round

Leading its Seed round, Surge and NP-Hard Ventures contributed S$2.75 million to Bengaluru-based log analytics firm Parseable. According to a news release from the corporation, the money raised will be utilized to quicken Parseable’s innovation in handling the growing volume of log data produced by today’s digital enterprises.

Parseable leverages open formats like Apache Parquet and Apache Arrow, which are essential for dismantling the data silos that are commonly found in enterprises. Parseable guarantees that log data is not only accessible but also interoperable by embracing these open standards, which facilitates simpler integration with other tools and systems.

Businesses may improve total business intelligence by gaining insights from logs and other data sources jointly with this unified data ecosystem. Several of the world’s top fintech, cybersecurity, and healthcare companies use Parseable. In less than five years, Peak XV Partners’ Surge has involved over 330 founders and over 140 startups in 16 different sectors. After the accelerator program, Surge firms have raised more than $2 billion in follow-on funding between them.

Parseable is an open-source, user-friendly log analytics tool with excellent speed. With the additional capital, the firm plans to quicken its pace of innovation in handling the increasing amount of log data that modern digital enterprises are producing. Parseable is an intuitive cloud platform that makes it simple for developers to handle and store log data. The startup makes use of open formats, such as Apache Arrow and Parquet. Nitish Tiwari founded Parseable in 2022 as a cloud-first platform that makes it simple for developers to process and store logs. By using a cloud-native approach, it tackles the problems of managing and evaluating the ever-growing data environment of corporate logs.

Log analytics is the process of analyzing data that is frequently referred to as logs and is recorded by an enterprise or any technological business. Data is generated by computers, networks, operating systems, and applications. Log analytics can be employed by organizations to ascertain trends in user behavior from fragmented data, identify areas of concern, audit security operations, verify adherence to regulations, and get ready for modifications to IT infrastructure or capacity.