CloudifyAI provides an automation platform that moves and modernizes enterprise data to the cloud, reducing migration costs and time by up to 50% with 90% process automation. The service handles large‑scale ETL workloads, having already converted over 200,000 pipelines and validated more than 500 trillion records, enabling businesses to quickly access AI‑driven insights from their data.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often face costly, complex, and time‑consuming data migrations to the cloud, which delay AI initiatives and increase operational overhead. Legacy ETL pipelines and large on‑premises datasets make modernization difficult and error‑prone.
Solution
CloudifyAI offers an automation platform that moves and modernizes enterprise data to cloud environments with up to 90% automation efficiency. The platform converts legacy ETL pipelines to cloud‑native workflows, validates data integrity for billions of records, and migrates petabytes of data at roughly half the time and cost of traditional methods. Automated validation ensures the accuracy of over 500 trillion records during migration. By streamlining the data journey, the solution enables organizations to access AI‑driven insights more quickly. The platform integrates with existing data warehouses and supports scalable, cloud‑based analytics pipelines.
Target Audience
Primary customers are large enterprises and data‑intensive organizations that need to modernize their data infrastructure to support AI and advanced analytics, including data engineering and analytics teams.
Features
- Intelligent automation engine that converts legacy ETL pipelines to cloud‑native equivalents
- Automated data validation covering trillions of records to ensure migration integrity
- High‑throughput migration capability handling over 20 PB of data across global infrastructures
- 90% process automation reduces manual effort and operational costs
- Seamless integration with major cloud providers and existing data warehouse tools
- Built‑in monitoring and reporting dashboards for migration progress and data quality metrics