Qloudy AI provides an end-to-end AI value stream delivery platform, enabling businesses to integrate machine learning models with data pipelines across AWS, Azure, and GCP while ensuring compliance and security. The platform reduces total cost of ownership by 80% and time to market by 50%, facilitating efficient AI adoption and operational scalability.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to derive tangible business value from their AI and machine learning (ML) initiatives due to complexities in integrating models with data pipelines and deploying them across diverse cloud environments. Siloed MLOps processes, compliance requirements, and operational risks further hinder efficient AI adoption and scalability.
Solution
Qloudy AI offers ProductionAI, an end-to-end AI value stream delivery platform designed to streamline the deployment and management of AI models across AWS, Azure, and GCP. The platform provides a holistic approach to ProductionAI, enabling businesses to integrate models with data pipelines and software services in a cost-efficient, secure, and compliant manner. By automating datasets, features, models, pipelines, and dashboards with hierarchical metadata templates, ProductionAI facilitates a scalable AI development process with built-in guardrails to control engineering, compliance, and operational risks.
Target Audience
Qloudy AI targets enterprises, platform engineers, and developers seeking to streamline AI deployment, reduce costs, and improve the ROI of their AI-based product initiatives.
Features
- Unified platform for managing models, deploying systems, and controlling AI operations from ML science to ProductionAI engineering
- Support for deploying to serverless, Kubernetes, spot, or provisioned instances, with seamless repatriation to physical infrastructure
- Role-based access control (RBAC) for cross-environment orchestration
- Automated datasets, features, models, pipelines, and dashboards with hierarchical metadata templates
- Vulnerability scans and air-gapped environments for secured operations
- Change lineage and release log to enhance governance and compliance
- Pre-built integrations with AWS, Azure, and GCP cloud services