"We are very happy with Rulai’s performance. It far exceeds the experience that we have with our other vendors.”
Jamie Gilliam-Swartz VP of Customer Experience Operations for Lyft
People find it frustrating to engage with chatbots, owing to their reliance on rigid, manually coded up decision trees for managing dialog.
To offer a user-friendly experience, context switching is a crucial skill. Rulai’s third-level dialog manager technology is able to handle context switching with our proprietary Mixed Initiatives and Tasks Intelligence System (MITIS™) technology, by enabling chatbots to do more than following a single thread.
Rulai chatbot can also detect and respond to multiple intents with the result of users having a more natural interactive experience.
or search engine
|Change address, menu-driven|
|+ Advanced NLU
+ Advanced Dialog manager
“The platform offers strong dialogue management capabilities and allows business users to define dialogue workflows that can be deployed via drag-and-drop techniques, with no coding required. ”
-Gartner 2018 Cool Vendors in AI for Conversational Platforms
“Rulai differentiates by targeting a technical business audience. This doesn’t limit its power — it still supports complex, nonlinear conversations.”
– The Forrester New Wave™: Conversational Computing Platforms, 2018
A basic chatbot framework simply consists of a messaging connector, a natural language processing engine, a dialog manager that takes user intent and outputs chatbot responses.
As an enterprise-level total solution, Rulai architecture covers more advanced capabilities with the complexity and necessary sophistication for more advanced implementations required by enterprise customers who have high standards and strict requirements.
to publish research on neural network (i.e. deep learning) for language models with dialog systems (1999 & 2000)
5 pending patents around deep learning, conversational platform and dialog manager. As a world class AI team, Rulai members have published more than 270 research papers in top conferences such as ICML, ACL, SIGIR, ICASP, HLT, SIGKDD, ACM Multimedia, WWW, and more than 80 patents.
1st for several months Netflix Challenge (2006, 20k+ teams)
1st, DARPA Supervised Topic Detection and Tracking, 2004
1st, 2016 & 2017 ACM Multimedia Challenges
1st, 2015, ImageCLEF Challenge