Granica

Granica builds what it describes as the world's first AI efficiency platform, turning exabyte-scale data noise into real-time reasoning. The company's work draws on information theory, probabilistic modeling and distributed systems, and its stated conviction is that the next leap in artificial intelligence will come from more efficient data systems rather than simply larger models. That research orientation is central to its engineering agenda, which spans data compression, privacy preservation, data observability and self-optimizing data infrastructure.

The company offers three services deployed beneath the lakehouse, without disrupting existing pipelines. Granica Crunch is an advanced compression service that optimises data representation and is credited with reducing cloud data costs by up to 80%, while allowing petabytes of data to query like terabytes. Granica Screen provides privacy preservation, and Granica Chronicle offers data visibility and insight into data usage. The company refers to this combined approach as a new paradigm it calls E∑L, intended to replace traditional ETL.

Hundreds of petabytes of data run in production across enterprises in finance, technology and industrial manufacturing, addressing what the company estimates is billions of dollars of enterprise cloud data waste per year industry-wide. Granica frames its work in terms of sustainable AI adoption at scale through information efficiency.