Craydel raises $1 million to grow its higher education platform and recommender system
Kenyan edtech startup Craydel, a platform for comparing colleges, course options and tuition fees, has secured $1 million in a pre-seed round that will go toward improving its search and recommendation technology and enhancing its online resources.
With the new funding, Craydel is set to embark on a new path to build its search and recommendation engine for more spot-on suggestions, as well as build resources that will help students and professionals in the decision-making.
“This paradox of choice is sometimes not a good thing,” Premji said. “So, we’re building using AI at the search and recommendation engine, which is proprietary technology to us. Through it, students or working professionals will tell us their interests, grades, budgets. We will also talk about their career aspirations and conduct aptitude assessments. The outcome of all these assessments is a curated list of the leading potential choices for them.”
https://techcrunch.com/2021/11/09/kenyan-edtech-startup-craydel-raises-1-million-to-grow-its-higher-education-platform/
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About The Author
Joeran Beel
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries. We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).