CloudSoda provides storage-agnostic data management software that utilizes predictive analytics and user-defined policies to optimize data placement across various storage tiers, from edge to core to cloud. This approach addresses the challenge of fragmented data access and hidden storage costs, enabling organizations to gain insights, reduce expenses, and enhance operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle with fragmented data across diverse storage tiers, including edge, core, and cloud environments, leading to inaccessible data and unpredictable storage costs. Traditional data management methods are insufficient for managing the growing volume and complexity of unstructured data, hindering AI initiatives and business insights.
Solution
CloudSoda provides an AI-ready intelligent data management platform that discovers, analyzes, governs, and automates unstructured data across the entire data landscape. The platform uses policy-based workflows to uncover insights around data usage patterns, identify duplicate files, and optimize storage costs in hybrid and public clouds. CloudSoda simplifies data mobility, enabling secure and efficient data transfer between different storage locations and into Large Language Models (LLMs) without altering the original structure. By providing complete visibility into the storage landscape, CloudSoda empowers organizations to implement modern data management strategies based on the business value of their data, accelerating AI pipelines and improving data governance.
Target Audience
CloudSoda targets enterprises and service providers across industries such as sports, genomics, oil & gas, public sector, and media & entertainment that need to manage and optimize unstructured data for AI, analytics, and data governance.
Features
- Storage-agnostic data discovery and analytics to understand data type, access patterns, and duplication across all tiers.
- Policy-driven data lifecycle management for automated tiering, archiving, and deletion based on business value.
- Secure data mobility to transfer data between edge, core, cloud, and LLMs in its native format.
- Role-based access management and security controls for data governance and compliance.
- Proactive data monitoring to track activity, access, and changes in real-time for specific projects or folders.
- Integration with media asset management environments to enable long-term preservation and archive workflows.
- Support for AI data management, enabling the delivery of relevant and timely data to power AI workflows.