Overview
KreateCMS is a cloud-first Content Management System designed to manage, track, and deliver AI and human-generated content. It provides a unified content layer for all Kreate products.
It's built for scalability, flexibility, and security, ensuring content is not only managed but also highly discoverable through advanced embedding and vector search capabilities.
Core Features
1. Human and AI Co-Creation
Manage hybrid content seamlessly. This platform is built for a workflow where AI generates content and humans edit it.
- Collaborative Workspace: A unified interface for human and AI agents to co-create content in real-time.
- Version Control: Track changes and contributions from both human authors and AI agents, ensuring full transparency.
2. Content Lineage & Audit Trails
Know the full history of every piece of content, from creation to publication.
- Detailed Content Tracking: Maintain a history of content creation, modifications, and usage across different platforms.
- Full Audit Trails: Comprehensive logs for all content activities, including who made changes, when, and what was modified (AI-created vs. human-edited).
3. Cloud-First Architecture
Built on modern cloud buckets (GCP, Azure, AWS) for high-speed, scalable, and reliable content serving.
- Scalability: Architected for horizontal scalability to handle increasing loads efficiently.
- Reliability & Security: High availability, automatic backups, and end-to-end encryption.
4. Content Repurposing & Multi-Channel Delivery
Create content once and publish it everywhere, optimized for each channel.
- Multi-Destination Publishing: Repurpose and publish content across multiple websites (via KreateWebsites), portals, and AI assistants (via KreateBots).
- AI-Driven Adjustments: Automatically optimize content for each destination, such as reformatting text or resizing images.
5. Advanced Search & Discoverability
Turn your content into an AI-ready knowledge base.
- Content Embeddings: Automatically generate embeddings for all content to enhance search accuracy and relevance.
- Vector Search: Implement vector search technology to power semantic search, content discovery, and RAG pipelines.
- Automatic Metadata: AI-powered tagging and metadata generation to support robust search functionality.