Company intelligence
Diametral
Don't use AI, Outperform with it.
About Diametral
Diametral was designed to create tomorrow's leaders. By helping them become AI-native. With an approach diametrically opposed to everything that has been done before. For 7 years, under the name LittleBigCode, we delivered models, built platforms, and put AI into production at dozens of companies. But the world changed. And so did we. In 2026, our clients no longer ask us simply to write code, they ask us to transform their businesses. Radically. Diametrically. That's why LittleBigCode became Diametral. What we do → We don't sell POCs, slides, or isolated technologies. → We design, build and operate AI-Native systems that transform critical processes into measurable performance levers: faster execution, increased efficiency, smarter decisions, lasting competitive advantage. How we do it We take a company's critical process, the one keeping teams up at night. → We redesign it for AI → We build it into an AI-Native system → We scale it at scale, training the teams → We operate it over time, alongside our clients Design. Build. Scale. Run. Simple. Radical. Diametral. Eight AI-Engines. One full lifecycle. → Strategy → Governance & Quality → Architecture & Engineering → Applied AI & GenAI → Decision Analytics → Product Delivery → AI Culturation & Change Management → Business Innovation & Development Our signature One team. 120+ experts in Data and AI. One reputation. 300+ projects delivered. 93% of clients rate us above expectations. Six countries. Seven cities: Paris, Lyon, Brussels, Bogotá, São Paulo, New York, Geneva. One ambition: 1,000 consultants by 2030. Welcome to Diametral. The firm designed to build the AI-Native leading businesses of 2030. 📍 Paris · Lyon · Bruxelles · Geneva · Bogotá · São Paulo · New York
Verified activity
Signals from Diametral
2 published signals
Presence & Recognition
Diametral shared an article from TI Inside highlighting its ambitions and impact in the Brazilian market.
Reported by Diametral
People
Diametral is actively looking for an employee data engineer in the Brabant Wallon area with a French speaker and English, three years of proven experience, Databricks experience, and Public Cloud (AWS or Azure) to modernize the existing Roadmap.
Reported by Cédric d'Harveng