Exante.ai performed an analysis/prediction for Daniels Smart Energy into the effect of cooling solar panels. This was based on data we collected from our monitoring system. The monitoring system indicates how much capacity we can expect from a solar power installation in relation to the actual solar irradiance. If the predicted capacity is not reached, the system indicates the cause. We were amazed at how much usable information Exante.ai could extract from the data. An excellent analysis with a very clear presentation of the results. Great job!

Exante.ai helped us search for valuable AI application areas within the SaaS solutions of Xebic Onderwijs B.V. This was done through a solid Agile process in which the most promising AI applications were selected by means of workshops. Ultimately, Exante.ai developed an autonomous service that can automatically match supply and demand using an AI model. Through multiple simulation rounds, the end user can determine the quality and match percentages of the reservations and achieve the desired result in StageMonitor. With this application we expect to speed up the process of aligning supply and demand and, above all, to increase the quality of the reservations. Exante.ai has both the business and technical knowledge to take an organization into the world of AI. With Exante.ai's help we managed to gain more knowledge of AI and actually turn it into a workable software solution within a few months. We are very satisfied with the results obtained so far!

Known from the news, radio and television, GPT-Detective was big news in early 2023. Exante.ai quickly brought the ChatGPT tool to market to assist sectors such as education. ChatGPT is a very good AI tool, but education is not yet ready for full adoption of the text generator. GPT-Detective can analyze texts and documents with high accuracy for the use of ChatGPT, BARD or other GPT models. The story was shared by Algemeen Dagblad, De Stentor, Indebuurt, Goedemorgen Nederland, Radio Sublime, Radio 2, Q-Music and more. The tool was used more than 160,000 times within the first two weeks of launch.