Company history/background
SaaS platform to feed and train the chatbot
The young organization in question has developed a working content management system (CMS) to train the complex RASA** chatbot technology easily and quickly. This is based on Natural Language Understanding (NLU). The IP for the CMS is held entirely by the organization. ** RASA is an open source machine learning framework for building AI assistants and chatbots.
Company activities
Natural Language will replace scripts
It is a given (and primarily a matter of time) that Natural Language Understanding chatbots will replace so-called scripted chatbots (texts are pre-programmed in a script). However, the problem with NLU chatbots is that training and feeding them is complex, time-consuming, and costly. Moreover, it is currently a technical process, causing user experience and content development to take a back seat. To minimize the negative role of technology and to prioritize user experience and content, this company has developed a CMS shell around RASA, enabling subject matter experts (though not necessarily IT experts) to feed and train the chatbot. Several corporations are already clients for a specific application. This application is housed in a separate entity in which the company in question holds the majority of shares.
Unique selling points
Rollout to large enterprises and (upper end of) SMEs
Because the developed CMS is sufficiently user-friendly, flexible, and cost-effective, an NLU chatbot is now also becoming accessible to large enterprises and SMEs. With far-reaching consequences:
- lower service desk costs
- increase in customer satisfaction
- Growth in the number of customers is possible without the required growth in the service desk.
- increasingly in-depth customer knowledge is being built up (more interaction = more data).
The revenue model is based on licenses.
Other
Active participation
We are seeking 250K - 500K through direct participation in the share capital. An active role is certainly open for discussion, provided demonstrable added value is achieved.
Personal data
- MBI candidate
- Strategic acquisition
- Investor