Content Auto-Tagging Manager (CAM)
COMBINE AI & KNOWLEDGE GRAPHS FOR HIGHER PRECISION AND RELEVANCE
CAM helps you figure automatically what your content is about
It’s all about being able to seamlessly plug into existing systems, process one single element or large volumes, and deliver responses on time. It won’t prevent you from controlling and reviewing results before they get published.
Try for Yourself
How Does Content Tagging Work?
Explore Content Tagging in action by seeing how AI can be used to discover concepts, names entities and relationships inside a document.
Vague or Precise?
See how CAM uses AI to measure how vague or precise text is, which can be a clue as to whether the content you’re reading is real or not.
Versatile AI Framework
Integrates various AI techniques into a single processing pipeline
Our comprehensive suite of AI tooling allows for multiple out-of-the-box integrations.
Linguistic engines, ML libraries & modules
SPARQL rules
3rd party and open APIs
Semantic inferencing & scoring
Future-Proof Approach
- Configure CAM to wrap all the services you need into one single API
- Integrate new AI models when changing business requirements emerge
Customizable Processing Pipelines
- Same value in the UIs and in the APIs
- Supports text, images, audio, video
- Based on standards -> RDF compliant
Ready to Use Connectors
Key Features
- NLP/ML analyses
- Semantic lookups and scoring
- Terminology extraction
- Document/Corpus labelling
- Difference reports
- Workspaces & permissions
- High-availability mode
READY TO GET STARTED?
Get in touch with our team
