Simplifai launch automatic language training

Simplifai’s product strategy has 3 main focuses: To offer a language engine that provides accurate responses and minimizes training efforts for our partners and customers and allows easy integration to any back-office system. 


This new product update launched this week, reduces training time significantly, improves dashboard functionality, and offers a smart external API integration platform. This reinforces Simplifai’s position as a market leader in Email inquiry processing and prepares the company for further international expansion.

The new version includes improvements in 3 main areas:

  1. Reduction in training effort
  2. Smart integration with 3rd party systems
  3. Insight through dashboard

Our Emailbot has had a major upgrade to the language engine that significantly reduces the time needed to get a new Emailbot up and running. Instead of needing thousands of emails for training data, we can train a bot to process emails with 60+% accuracy with as little as 50 emails! Our email training effort has been cut down from weeks to a couple of days. In order to train and maintain an Emailbot, the AI trainer must tag emails to teach the robot how to categorize emails and to recognize relevant information. This tagging constitutes a large portion of any Emailbot implementation and maintenance effort. The new version of Simplifai Studio now provides machine learning assisted tagging that reduce the workload for AI trainers maintaining Emailbots. Combined, these two improvements reduce the AI training need in both projects and maintenance by up to 70%.

Last but not least, a smooth transition from one email to another in the Studio training page makes email tagging a much more user-friendly experience.

A value-generating Emailbot and Chatbot must allow for integration with important 3rd party systems, and that should be done in an easy manner. API integrations allow Emailbot and Chatbot to fetch or to pass on information to replace the tedious manual work of registering information from an email or chat. Imagine the savings in implementation time and cost if you could simply configure the Emailbot to integrate with your CRM system to register any incoming inquiries from customers. That is now a reality. In addition, this new version contains a seamless integration with manual chat systems such as Freshchat and Intercom for anyone who wants to set up manual chat in conjunction with our Chatbot. Customer service representatives can see the chat history when they take over a chat session from Chatbot, and the end customer wouldn’t notice a bit of difference from their end.

Insight into how the bot is performing is important when business owners acquire new technology such as an Emailbot. That’s why our Emailbot now comes with an improved dashboard to provide insight into email traffic over time, breakdown of inquiries, actions applied to the inquiries, and so on. Not only will you know how your Emailbot is performing, but it will also give you an insight into the inquiries from your customers. Your customer service colleague cannot necessarily tell you exactly how many email inquiries that for example were bounced due to lacking enough information, but our Emailbot dashboard can.

We believe we have made a giant leap towards the ultimate product that any business can use to automate the processing of incoming inquiries, whether it is on email or chat. We will continue to improve in order to further boost our partners and customer’s competitiveness.

We are really proud of this update and are looking forward to sharing more news regarding what it means for our new and old customers in the coming weeks.