Case Study: Intuizi's Transition to Decentralized Storage with Akave

Transforming Storage Solutions: A Strategic Move to Decentralization for Cost Efficiency and Advanced Insights.

Company

Industry

Data Analytics

Use Case

Archival data storage for high-performance geospatial computing.

Challenges

A cost-effective alternative S3 solution to support advanced machine learning and AI applications while ensuring performance and security.

Solution

Collaborated with DeStor to migrate from AWS to an S3 Cloud solution with Akave.ai, utilizing Filecoin, the world's largest decentralized storage network.

Results

This transition significantly reduced storage costs and enhanced performance, enabling Intuizi to unlock advanced insights for their machine learning and AI initiatives.

The Situation

Intuizi, a leader in high-performance geospatial computing, faced escalating storage costs while relying on traditional cloud providers like AWS. As their operations grew, the financial burden of storing and processing petabyte-scale anonymous datasets became increasingly unsustainable. The company required a more cost-effective solution that could support their advanced machine learning and artificial intelligence applications without compromising performance or security.

The Solution: DeStor S3 Cloud Solution Powered by Akave

To address these challenges, Intuizi partnered with DeStor, which facilitated their transition to decentralized storage by connecting them with Akave, a S3-compatible cloud storage solution, stored on the Filecoin network. This collaboration enabled Intuitzi to leverage the unique advantages of decentralized storage, such as enhanced cost efficiency, scalability, and security, while seamlessly integrating with their existing infrastructure.

“By partnering with DeStor, Intuizi is venturing into the world of decentralized storage to significantly reduce the storage cost of high-performance geospatial computing. Leveraging petabyte-scale anonymous data sets, we can infer device movement patterns, understand their associations, and derive actionable insights and cohorts for advanced machine learning and artificial intelligence applications. The promising results we've achieved so far have us buzzing with excitement and eagerly looking forward to the next phase of our exploration," said Ron Donaire, CEO of Intuizi, Inc.”

- Ron Donaire, CEO of Intuizi, Inc.