Cloud CMS (Gitana) Content Management Platform
Cloud CMS helps organizations manage and distribute structured content. It is designed for teams that need to transform unstructured data into datasets for AI models and APIs.
At a glance
- Category
- Marketing
- Best for
- Enterprise organizations, Developers building RAG applications, Content architects, Companies managing highly-structured data
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Healthcare and Compliance Content, AI Model Training, Retail Branding and Messaging, Travel Information Management
- Integrations
- AWS, Azure, Google Cloud, Elasticsearch, MongoDB
- Official website
- cloudcms.com
Cloud CMS, also known as Gitana, is a content intelligence and management platform. It is designed to turn unstructured data from sources such as databases, emails, and wikis into a structured, relational content graph for use across digital applications.
The platform is aimed at organizations in sectors such as health care, compliance, retail, and travel. It provides tools for content curation, editorial workflows, and deployment to environments including RAG apps, vector databases, and custom APIs.
Capabilities include AI agents that assist with content understanding and the generation of AutoML datasets for training private AI models. Deployment options include a hosted subscription or self-managed Docker and Kubernetes containers.
Buyers should confirm if their technical team has the capacity to manage GraphQL and API integrations, as the tool is designed as a content layer for developers rather than a standalone website builder.
Key Features
Uses a graph-based storage system with JSON Schema support to organize structured content and metadata.
Supports extracting, transforming, and loading data from databases, desktop files, emails, and wikis.
Includes automated assistants to help teams understand content, search for documents, and generate answers.
Supports branch merging, conflict detection, and visual side-by-side differencing for content collaboration.
Provides scriptable generation of datasets and validations to help train private GPT and AI models.
Supports multi-factor authentication (MFA) and Single Sign-On (SSO) to manage user access.
Use Cases
Supports the creation and publication of clinical content for physicians and patient-facing teams.
Curating and validating company content to help train AI models for customer recommendations and decision support.
Managing delivery of product information and branding via scheduled publishing and A/B testing.
Bulk loading hotel and resort data from internal sources to support search and booking data.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is a native AI content management system that helps enterprises load, curate, and publish structured content using a relational content graph.
It is designed for enterprise-level organizations in healthcare, retail, travel, and compliance, as well as developers building AI and RAG applications.
Yes, it is available as a hosted subscription or as Docker containers that can be run on-premise or within a private cloud using Kubernetes.
Source category: Marketing
Source subcategory: Content Management System
