SolutionStor Localise™ is a breakthrough data access solution designed for organizations running AI, Machine Learning, and Analytics workloads at scale. Built on a patent-pending architecture, Localise eliminates the traditional bottlenecks of data lakes and APIs by making remote data instantly available as if it were local—without data migration, reprogramming, or delays.

With Localise, teams can access petabyte-scale datasets in minutes, rather than months. The solution seamlessly presents remote files and directories to your operating system and applications, eliminating the need for custom code, such as Boto3, or constant adjustments to data models. Benchmarks show up to 50% faster dataset loading and a 45% reduction in AWS S3 access costs, resulting in significantly improved GPU utilization and operational efficiency.

In addition to performance, Localise supports green computing initiatives. By minimizing local storage investments and keeping data at its source, it reduces energy consumption, rack space, and environmental impact, making it ideal for eco-conscious AI computing centers.

Localise directly addresses critical industry challenges around data accessibility, complexity, and technical skill gaps. It’s the fastest, simplest, and most sustainable way to power your AI infrastructure—without moving your data.