Rational decisions when the future is uncertain

Companies make big calls without knowing how things will turn out. Enloint, a software company in Seoul, builds tools that measure that uncertainty and show what drives a result. Next, we are bringing in AI to make the analysis easier to set up and explain, never to replace the math behind it.

Our approach

Measure the uncertainty A plan built on one number hides how likely it is to work. We show the range of outcomes and the odds of reaching a target.
Trace what drives a result A sound decision needs reasons. We show which inputs matter most, and which changes moved a result and by how much.
Next: AI that shows its work We are bringing AI into our tools where it saves time, like setting up a model or explaining a result. Every answer will stay traceable to numbers you can check.
Start from the model you trust We work with the Excel models teams already use, and calculate in the browser. Workbooks stay on the user's computer and are never uploaded.

Products

xellstorm Measures the uncertainty in an Excel model with Monte Carlo simulation: the odds of reaching a target, the inputs that drive them, and how scenarios compare. xellstorm.com

xellshift Shows what changed between two versions of an Excel workbook, and why: every changed cell in one grid, and how much each edit moved a result. xellshift.com

Contact

To talk about partnerships, research or the company, write to contact@enloint.com. Product support is on each product's site.