Why Titane exists

E-commerce stores already hold valuable signals in their tools: catalog, orders, purchase journeys, inventory, campaigns. The giants use deep learning to turn these signals into concrete actions. Titane makes this technology accessible to French and European e-commerce stores.

The reality

Mid-market e-commerce stores hold a rich e-commerce history: products, orders, purchase journeys, inventory levels, marketing campaigns. But most of this information goes underused.

Existing tools give them dashboards, charts, statistics. Not decisions. Not actions.

The e-commerce manager knows they have 200,000 customers. But they don't know which ones are at risk of churning, which are ready to buy more, or which products to recommend to each one.

The truth

Meanwhile, the giants — Amazon, Zalando, ASOS — use these same business signals with deep learning to personalize every interaction, anticipate demand, and optimize inventory.

The difference between them and the mid-market isn't access to information. It's the ability to turn that information into operational decisions.

Titane Intelligence exists to give e-commerce stores the same Deep Learning modeling capabilities as the industry giants, with an approach tailored to French and European standards.

Our principles

How we work

Models built fully custom, never generic

Every Titane model is tailored to the history, catalog, and business context of each store. The recommendations for a tools store have nothing in common with those for a cosmetics store — the models shouldn't either.

The engineer, not the salesperson

At Titane, the person who designs the models is the one who talks to you, who understands your business, your catalog, and your priorities, then deploys the solution. No intermediary between the technology and you.

No results, no invoice

Titane's business model is aligned with performance. One seventh of the additional revenue generated. If the models don't produce measurable results, Titane charges nothing.

From insight to action

Titane doesn't deliver reports. Titane delivers executable actions — an email campaign ready to send, recommendations injected directly into the store, an actionable restocking schedule. A partner who builds with you.

The name

Why "Titane"

Titanium — element 22 — is named after the Titans of Greek mythology. It is the only metal to combine extreme strength, record lightness, and total chemical inertia. Every property of the metal maps directly to what Titane delivers.

Ti — Total chemical inertia

Universal compatibility

Shopify, PrestaShop, Klaviyo, Gorgias, Meta — same model, regardless of the client's technical environment.

Ti — Alloy and amplification

Cross-model ontology

The models reinforce each other through shared features and a unified action layer.

Ti — Structural lightness

Lightweight models, high precision

Compact, highly specialized models that deploy in two clicks.

Ti — Rarity and technical mastery

Technical depth

5 proprietary models built from scratch for e-commerce, drawing on recent research. Hard to reproduce without deep domain expertise.

The team

Founder

Théo Lapouge

Founder

Background: applied mathematics and deep learning.

Théo has built deep learning models across hundreds of e-commerce use cases and stays immersed in the latest research to keep the models competitive.

Before Titane, Théo founded and sold an impact brand, covered by L'Équipe, Le Figaro, Le Parisien, RMC, and M6.

He then specialized in Deep Learning, focused on: applying the most advanced architectures — transformers, graph neural networks, time-series forecasting models — to the growth of e-commerce stores.

At Titane, every model is designed, trained, deployed, and monitored personally by Théo — from architecture to results.

Turn your e-commerce history into actions

Let's talk about your data, your constraints, and the use cases that can create revenue.