Rulai Pros and Cons

The sumplicity of it. What you can implement and connect. Review collected by and hosted on G2.com.

Sometimes versions cross over while is opened by 2 users Review collected by and hosted on G2.com.

- Easy to understand course material.

- Extensive insights into Natural language processing (NLP) and conversational user interface design process.

- Intuitive drag and drop developer console.

- Easy to test out chatbot features within the developer console.

- In depth knowledge of bot building process.

- Can be easily integrated with third party services like Salesforce.

- The check list provided in the course material is a great way for quick reference when you start to build a conversational user experience bot from scratch.

- The developer console allows the users to upload a Question and answers section directly to the bot so that it can handle Frequently asked questions.

- Provides with analytics features which help you in tracking how the bot is performing and the health status of the bot. Review collected by and hosted on G2.com.

- Length of the course is a bit too long considering the fact that it is designed for working professionals. Review collected by and hosted on G2.com.

The user friendly and responsive design of the console, also it's easy to find points of contact for questions. The interactivity of the help guides and courses makes design and development easy Review collected by and hosted on G2.com.

The logging (transcripts) are not as simple to navigate as I think they could be, especially considering the platform is geared towards communication between businesses and their customers Review collected by and hosted on G2.com.

I took Rulai's developer training, which helped met get acquainted with Rulai. The Rulai platform seems fairly intuitive to use and decently powerful from what I've seen so far. I'm not yet sure how the details of how powerful it is, but it'll be interesting to see how things turn out! I appreciate the array of features Rulai offers and the customizations that are available. Review collected by and hosted on G2.com.

The developer training I took was okay overall but I found it hard to stay focused during the instructional videos . The assignments were fairly easy but they did get me acquainted with the software. That said, I think it's worth taking at least one of their trainings if one wants to seriously investigate or use Rulai. Review collected by and hosted on G2.com.

I got the opportunity to take the Rulai Conversational AI Developer certification course and was very impressed by their product. I'm a student pursuing a career in Machine Learning and AI, and Rulai's platform helped me see what a competent, well deployed software suite leveraging these techniques looks like.

One of the main advantages is the fact that the backend is hidden and so developers who are just interested in deploying a bot don't have to dive into complicated NLP code. At the same time, Rulai built in an exhaustive list of built in functions and customization options to give developers the ability to tweak the language/conversational processing in fairly granular detail. I think this is an impressive achievement given the complexity of the language processing tools being employed. A non-technical employee could go in and build a simple bot for their company using drag and drop, while an experienced coder can really build some cool apps.

All in all if I were asked to recommend a chatbot platform to a future employer, I wouldn't hesitate to recommend Rulai! I think we'll see some exciting things from them in the coming years, it's an exciting time in ML/AI! Review collected by and hosted on G2.com.

Overall there were a few minor features on the UI/editing side of things that it would be nice to see implemented. These are minor issues like adding some more formatting options to the JS action node editor or changing the wording of a few things. Review collected by and hosted on G2.com.

Robust Dialogue Management & User Intent Detection powered by out of the box NLU capabilities enable flexible conversations. The Context Switching ability provides a human-centered experience. Conversational AI Bots can be built with low coding experiences as the technology elements like NLP, AI, flow management are behind the drag-and-drop based Conversation UI. Integration to external systems via REST based APIs - System of records, Live Agent platforms, Contact Centres as well as other NLU platforms. Easy to iteratively build the bot's knowledge via Q&A, training data, transcripts, AI recommendations, crawlers, external sources. Detailed Analytics & Reporting modules helps in monitoring, measurement & improvement of the bots. Review collected by and hosted on G2.com.

There is room for improvement in multi-lingual conversational capabilities. Personalization can probably be a separate module in the Design/Developer Console for Rule-Based as well as Adaptive Personalization models. More pre-built connectors to external platforms (like CRMs, Billing, Analytics, Order Management) and their IT system Vendors might be required for a business implementation in an industry vertical. Industry Solutions also need to include Telecom, Information Services, Healthcare. Review collected by and hosted on G2.com.

I felt that the tutorials were useful to understand and work through Review collected by and hosted on G2.com.

The user interface was a little hard to navigate at first Review collected by and hosted on G2.com.

While I haven't had an opportunity to immerse myself in the tool in an end-to-end project (design, build, deploy, maintain, iterate), my work on demo bots gives a clear sense of Rulai's feature set and differentiators.

The Rulai platform streamlines conversation design, prototyping and testing by enabling your conversation design team to work in a flow tool that plots code and provides real-time prototyping in the chat console. I've previously designed conversations with non-code flow charts built in flow charting or visual design tools. Handoff was then often a manual slog of getting those flows, NLU intent architecture, and dozens of potentially intricate UX details to a conversational developer to build into an enterprise-built JS-based flow tool. Rulai takes the conversational designer's flow chart and the conversational developer's flow tool and combines them into one tool that's widely intelligible to the non-technical conversation designer and that simplifies--and minimizes--handoff conversations between designers and devs. The ability to test flows stored in the editor in real time in the chat console is also a great improvement over other workflows I've used. For ease of use, Rulai's prototyping and testing functionality even beat some of the out-of-the-box commercial platforms owned by the big tech players.

Another differentiator is its ability to handle multi-intents and disambiguate intents. Most other platforms I've worked with require some element of manual tuning to even begin to handle multi-intent or disambiguate intents. Rulai's defaults solidly resolve multi-intents and provide a functional disambiguation framework. While the logic isn't perfect, it provides a functional solution to these common problems with a simplicity that's uncommon in competitor platforms.

The global intents and variable repos are strong enough to cover most enterprise use cases and speed up the build process significantly.

The strengths of the platform and its flow-building approach are strong enough to keep me committed to learning--and training my teams to master--its nuances moving forward. Review collected by and hosted on G2.com.

Some of the documentation is a bit diffuse, which may make it difficult to pick up the platform and harness all of its functionality without an active customer success support relationship.

Intent disambiguation can be a bit clunky and needs some fine-tuning to ensure that the disambiguation subflows provide appropriate final content and UX. Review collected by and hosted on G2.com.

The flexibility to design complex real-time scenarios with dialog flows with only drag & drop nodes! I find the Accelerators & Knowledge sections very useful due to the improved user engagement with the bot.

There are several options to fiddle with which can be used for almost anything. We can use custom code to fetch data from various sources with the help of API to make an ultra customaizable UI to interect with.

There are plenty of training modules availbale to use and also adaptation capabilities with other platforms like Facebook, Whatsapp and even SMS & Voice Gateaway. Advanced capabilities of analytics along with live monitoring, transcripts, unit test and flow test is what makes this platform much more intuitive to use and enjoy.

The team is always ready to help with any of your problems and there is a well-written documentation available for you usual problems and support too! Review collected by and hosted on G2.com.

I would love to have the multi-language functionality to flourish much more than it is now currently. Also additional improvements to the accelerators and easing the integration with multi-platforms would be much appreciated. Some oudated documentations also need clear explanations and editings which the devs have also acknowledged. Review collected by and hosted on G2.com.

I have been extremely impressed by Rulai. Compared to other chatbot platforms, Rulai's chatbot framework and console makes development accessible for technical and non-technical users. The no/low code drag-and-drop allows you to rapidly build flows and use cases, while harnessing the power of NLP/NLU. The platform also supports integrations and custom coding to address more complex use cases... it can do it all. The console and UI are well designed, making it easy to test, deploy, iterate, and build an army of chatbots to address a wide variety of business needs. Review collected by and hosted on G2.com.

Would love to see Rulai to build out a "bot store" with more use cases and/or industry specific solutions to help customers rapidly deploy bots and accelerate time to market. Review collected by and hosted on G2.com.