Pharmaceutical industry

Assistance in drug creation

A pharmaceutical laboratory needed to identify new patentable molecular combinations from millions of medical publications. Manual research had reached its limits. We built the system that changed the game.

Problem

Finding new patentable drugs is an increasingly time-consuming, expensive, and uncertain process. The laboratory's research teams relied on manual analyses of medical publications and clinical trials to identify correlations between molecules.

The volume of information to be processed greatly exceeded human capacities: millions of publications, hundreds of thousands of clinical trials, complex relationships between molecules to be explored. Without a tool that could automatically extract these correlations and visualize them, major scientific opportunities remained invisible.

Vue rapprochée d’une coupe transversale colorée d’une géode montrant des couches concentriques de minéraux en jaune, marron, rouge et vert.

Solution

What we built

We deployed a team of 2 Data Scientists and 1 Data Engineer to design a comprehensive molecular discovery support system.

Step 1 — Extraction and structuring of collected data, cleaning and indexing of all relevant medical publications and clinical trials, made accessible via a centralized search API and with no limitation of queries.

Step 2 — Construction of a graph database. Modeling relationships between molecules, publications and clinical results in graph form. Each node is a molecule or a publication, each link an identified correlation — making visible what was previously buried in text.

Step 3 — Data visualization application. Development of an interactive visual interface allowing researchers to explore sub-graphs, navigate between linked molecules and identify new combinations in a few clicks.

Projects in the same category

See all projects

Supply Chain Optimization Application

A pharmaceutical distribution player had to rethink its entire supply chain: pharmacy assortment, inventory management and delivery channels. Operational research alone was no longer enough. We built the application that transformed its operations.

Social media trend detection

In a market where consumer behaviors change faster than decision cycles, a customer needed to anticipate trends instead of experiencing them. We built the platform that turns social media noise into actionable signals.

Yield of agricultural fields

The climate subsidiary of a French insurance leader needed to predict field yields across Germany to price a new drought insurance offer. Internal data was not enough. We built the predictive models that made the product marketable.

Customer needs analysis platform

A large French group needed to understand the current and future needs of its customers by aggregating a massive volume of consumer data. After a POC of 8 weeks, we industrialized a complete platform deployed on all French entities and is now being extended at the group level.

Skin scoring and analysis

A major player in luxury cosmetics had developed a skin scoring algorithm. Problem: no one could verify what the AI was based on to make its diagnosis. We built the visualization system that makes predictions transparent and deployable in stores and on mobile.

Beaconing detection

A large group's security team needed to identify beaconing signals, regular network traffic sent by potentially compromised machines to servers controlled by attackers. The volume of logs made manual detection impossible. We built the anomaly detection system capable of processing this data on a large scale.