Monad is a security data infrastructure company founded by security operators who encountered challenges managing fragmented data across large enterprise security environments. Enterprise security teams commonly operate 50 or more security tools simultaneously, each generating data in different formats, varying quality levels, and high volumes. This fragmentation makes threat detection difficult, contributes to alert fatigue, and results in wasted operational resources. Monad addresses this by providing a data pipeline and infrastructure platform purpose-built for security data at enterprise scale. The platform is designed to ingest, normalize, and process security data from disparate sources, enabling security teams to consolidate signal from across their tooling ecosystem. By handling the complexity of security data transformation and aggregation, Monad aims to reduce the manual data wrangling burden on security analysts and engineers. The company's target market is enterprise security teams that struggle with data quality, volume, and format inconsistencies across their security tool stacks. The platform is intended to serve as a foundational data backbone, enabling faster threat detection, streamlined security workflows, and reduced operational costs. Monad was co-founded by Christian Almenar (CEO) and Matthew Jane (CTO/Chief Architect), both of whom have backgrounds in security engineering across startups, scale-ups, and Fortune 500 organizations. The company is backed by external investors and is headquartered with a growing team.