Granica

The Granica AI Efficiency Platform stands as a pioneering tool that spearheads cost reduction in data storage and accessibility for AI training. Primarily designed with developers in mind, this platform boasts unparalleled capabilities, capable of handling petabyte-scale data with seamless compatibility on AWS and GCP.

This robust platform encompasses an array of services, including Crunch and Screen, both of which deliver unparalleled data processing and detection prowess. Among its standout attributes, the platform excels at slashing data storage and transfer expenses by a remarkable 80%, thanks to its Byte-Granular Data Reduction feature. This innovation hinges on cutting-edge compression algorithms tailor-made for Amazon S3 and Google Cloud Storage. Moreover, it achieves API cost reductions of up to a staggering 90%.

Granica’s commitment extends to the realm of data privacy and security. It introduces Byte-Precise Detection, ensuring exceptional precision and recall in identifying personally identifiable information (PII) and other sensitive data within storage. All of this is accomplished at a fraction of the cost and effort entailed by traditional scanning methods.

Embracing the Granica platform equips companies with heightened efficiency, fortified data security, and substantial cost savings. The platform seamlessly integrates into existing environments, upholding all security policies and allowing data to remain within the confines of the company’s infrastructure.

Trusted by industry titans, Granica extends developers and enterprise-grade AI/ML/analytical applications a scalable, secure, and user-centric solution. Its expansive support for various data types, encompassing images, LiDAR, clickstream, logs, and customizable adaptation for specific use cases, underscores its versatility and appeal.

As part of our community you may report an AI as dead or alive to keep our community safe, up-to-date and accurate.

An AI is considered “Dead AI” if the project is inactive at this moment.

An AI is considered “Alive AI” if the project is active at this moment.