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Guiding you to build data science projects collaboratively and quickly, without writing code. More powerful than dashboards and more intuitive than notebooks.
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A code free interface to help you choose the optimal algorithm to clean, hydrate and prepare your data for analysis.
A visual platform embedded with the latest ML algorithms and self-generated analysis, complemented with the flexibility to create your own customized analysis.
Dynamically reproduce your insight capturing process so you can explain your findings and work collaboratively with your team.
Our team analyzed 7043 current and former customers of a telecoms provider in order to better understand what types of people are most likely to cancel their contracts.
To showcase how a company could reduce employee turnover, our team clustered a dataset containing information about IBM employees to discover the reasons why employees left their jobs.
Working at the intersection of data science and finance, Menhir is using Graphext to understand the composition of financial portfolios, performing analysis that typically takes analysts between two and three weeks in just two days.
Our team set out to build an exceptional football team for less than 100M Euros. Using data provided in the FIFA 2020/2021 dataset - the video game - we built a prediction model in order to find the key performance attributes for each position. Then, we used this to pick out a team of excellent but undervalued players.
Want to know more about our smart data discovery tool?
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