Empowering business consulting with data science
The open source Baken Platform makes consulting and data science accessible and shareable
Finding what you want it difficult, you are looking for a restaurant but which one? There are so many options, around 4000 in Amsterdam. Something hip or someplace cozy? Plenty of platforms make you rely some influencer's (bought and paid for) taste, but how do you explore your taste?
NOMNOMNOM assumes you don't already know exactly what you are looking for but you'll recognise what you like and don't like. Our AI offers you some suggestions after which you rate them, at each step we show you more of the things you like and less of the things you don't, while surprising you along the way.
The NOMNOMNOM discovery approach generalises to eCommerce where taste matters. The same system, swipe products left or right to like or dislike, find what you want in in steps while balancing the familiar with the unexpected.
NOMNOMNOM is powered by a discovery engine, a hybrid search and recommendation algorithm, and is trained by learning that similar users have similar taste and like similar restaurants.
The engine is build in python and extends the most cutting edge recommendation systems to allow for interactive, session based product discovery.
The frontend is build in React, allowing for a dynamic and responsive user experience on both mobile and desktop.
Baken AI empowers business consulting with data science. Leveraging our cross-sector experience we build machine learning applications for companies in insurance, healthcare and industry.
Baken AI was founded in 2021 by consultants and data scientists from Baken Adviesgroep and Convectis, two consultancies with a 10 year track record in various sectors.
While Baken AI is focused on building cross-sector machine learning applications, Baken Adviesgroep offers research and consulting services in the financial sector. By pursuing these activities in a new venture we are able to structurally grow the value of both offerings.
The Baken AI team is a mixture of young talent and experienced consultants with backgrounds from Econometrics, Chemistry and Economics.
It is our mission to make the best data science consulting and solutions accessible to businesses and institutions of all shapes and sizes.
Consultant and Economist with expertise in Monetary- & Macroeconomics, Insurance and Fintech. 5y experience providing Strategy, Research and Market Intelligence solutions to insurance sector.
Specialisation in Machine Learning for Healthcare, Data Engineering, and Dashboarding. Previous experience working as Data Scientist Intern Health Outcomes Lab @ Roche.
MSc Econometrics & BSc Chemistry
Background in Data Science, specialized in: Machine Learning, NLP, Forecasting, Webscraping and Data Extraction. Thesis research focused on Machine Learning methods for fraud-detection.
Background includes commercial director (ING), financial & strategic restructuring and management consultancy. Active on several advisory boards for sustainable scale-up businesses.
Background in Financial Econometrics & Data Science. Specialized in predictive modeling and customer lifetime values. Experience in building AI tools for customer analysis to optimize direct marketing campaigns.
Background in Econometrics and Artificial Intelligence. Specialized in financial time series modeling and risk insurance analysis in python and R. Thesis focused on high frequency energy price forecasting.
MSc Econometrics & MSc Artificial Intelligence
Even though Kees looks like a labradoodle he is actually a bernedoodle crossed with a pirate, he only works with Rrrr.
Just kidding, Kees is cudly and cute and even though he doesn’t know how to code, he still Excels in his field.
Puppy cursus basis I&II