Skelter Labs’ high-performing Conversation Engine enables enterprises, businesses, developers and even non-experts to create sophisticated conversational AI applications in-house.
Deep Learning & Rule-Based Hybrid Approach
- Able to build chatbots easier and more efficiently without registering every case of sentence pattern.
- Higher accuracy on intent recognition, classification, and slot filling.
Convenient Build & Management Tool
- Easy-to-use management tool for both sequential and non-sequential conversation flows.
- The patented event-driven Dialog Manager enables seamless dialog switching for building complex conversation flows.
- Efficient versioning and deployment management features.
Efficient Implementation Model by Reducing Operational Resources
- Language agnostic thus the development time and resources can be minimized for deploying conversational agents into new markets.
- Higher intent recognition precision with significantly smaller training data compared to other conversational AI engines.