A studio building thoughtful, human solutions for the age of AI. Quietly grounded, carefully made, built to last.
Two trees standing together, drawing from the same roots, bearing fruit in due season.
Two Olive Trees is a studio founded by two brothers, Ludovic and Armel, building software at the pace of attention. We believe the tools we make should serve the people who use them, not the other way around.
Most software in the AI era is being built quickly, scaled aggressively, and shipped loudly. We build differently. Each product is shaped by careful exploration, honest planning, and rigorous review. Not because we're slow, but because we believe that what's built well lasts.
Our name comes from a passage of scripture that has shaped how we see our work: two trees standing together, drawing from the same roots, bearing fruit in due season. That's the studio we're trying to be.
Ludovic Makong Hell
Engineer by training, Scientist by trade, and Servant by heart: always striving to concretely emulate love towards others.
The Little Way.
Armel Hell
I’m a creative first, and co-founder of Two Olive Trees. The Lord has been generous in making me pluri-dimensional: code, design, product, writing, architecture, and much more. I consider myself a jack of all trades, but a servant before anything else.
Most of my time is spent exploring how to humanize AI for genuine interconnectivity, the playing field of our ministry. Before this chapter, I’ve been a frontend engineer at Itential, pushing network automation forward. On the side, I’ve consistently shipped projects where faith and passions commune.
Opus Dei.
Three projects, each addressing different parts of how software gets made, learned, and used today.
A structured workflow that runs inside Claude Code, turning Claude's terminal into a deliberate development environment: explore, plan, execute. The framework we use to build everything else.
View sourceA Shopify app that brings reverence to the post-purchase moment, generating a personal blessing for every customer order. Built with EPX.
View on ShopifyAn auto-graded Jupyter notebook helping students in an AI and Linear Algebra course move from theory to practice to capstone. From matrices and gradients to implementing backpropagation in pure NumPy to training a neural network on synthetic data.
View sourceWe're a small team building carefully. If you'd like to follow what we're working on, leave your email and we'll write when there's something worth sharing, not before.
Or reach us directly at press@twoolivetrees.live.