Mission & Vision
Automated space systems design from Phase 0 to B1 — validated by physics, built for NewSpace speed
Our Vision
We envision a space industry where any engineer can design a full mission — from orbit selection to spacecraft sizing to bill of materials — in the time it takes to run a meeting.
Physics guardrails ensure every result is senior-grade, whether the user has 2 years or 20 years of experience. NewSpace demands concept-to-orbit in one year. The engineering tools should match that tempo.
Our Mission
Vecteur automates space systems engineering across ECSS Phases 0, A, and B1. From a single mission statement, the platform generates orbit design, constellation architecture, spacecraft sizing, link budgets, and a complete bill of materials — cross-validated against NASA SPICE, ESA Orekit, SMAD, Vallado, and ITU-R references.
We are committed to:
- 20 minutes, not 20 months: Compress Phase 0-to-PDR timelines from months of manual iteration to a single session
- Junior to senior in one click: Physics guardrails constrain every design path so junior engineers produce senior-level results
- Equations, not guesses: Every calculation cross-validated against 6+ reference tools — 99 tests, 100% pass rate
- Built for NewSpace tempo: Concept to orbit in one year means every trade-off study must be fast, accurate, and repeatable
Evolution of AI in Space Engineering: 2026-2030
From rapid design exploration to continuous autonomous optimization — enabling engineers to manage constellations at unprecedented scale.
AI assists, engineer decides. Explore 500+ constellation architectures in hours instead of months. Engineers validate trade-offs, select optimal design.
AI validates, engineer approves. Auto-check orbital mechanics, collision risks, coverage gaps for mega-constellations (IRIS², Starlink-scale). Catch errors early.
AI optimizes continuously. Monitor 100K+ satellites, auto-adjust constellation parameters for traffic, weather, demand. Engineers supervise high-level strategy.
Leadership
Adrien Hadj-Salah
Founder & CEO — 15+ years in aerospace & AI. ENAC, TU Berlin. Built Vecteur from first principles: physics-informed AI that produces validated engineering output, not chat responses.
Building the team — co-founder in industry identified, 2 advisors onboard
Based in Toulouse, France — at the heart of the European space industry.
Advisors
Vivien Croes
CTO @ Robin Radar Systems
Currently CTO of Robin Radar Systems, a Dutch Defensetech scale-up developing birds and drones radars, leading the technology, product, and project management into an aggressive scaling environment. PhD in Plasma Physics (École Polytechnique / Safran), MBA (Collège des Ingénieurs), Environmental Engineering (TU Munich). Previously Space Business Unit Manager at SONACA, where he built and scaled the Aerospace & Defense division from 2 to 60 FTEs in two years. Started in satellite electronics at Airbus Defence & Space. Trilingual (FR/EN/DE).
Industrial / Space expertise & network
Grégory Flandin
Program Director, AI for Critical Systems @ IRT Saint-Exupéry & ANITI
Leading the DEEL program (Dependable & Explainable AI) at IRT Saint-Exupéry since 2014, driving the maturation and transfer of AI and Big Data technologies for aeronautics and space. Head of Certifiable AI at ANITI Toulouse. PhD in Mathematics & Computer Science (Université de Rennes), ISAE-SUPAERO engineering degree. Previously system engineer for Earth Observation at Airbus Defence & Space, and group leader for GNC and image processing at Astrium.
AI for Space & Critical Systems expertise
Our Values
Entrepreneurial
Move fast, own outcomes, build what matters
Mission-Driven
Every decision serves our goal: transform how humanity builds for space
Can-Do Attitude
Problems are puzzles to solve, not obstacles to avoid
Ideas & Optimism
Full of ideas, positive worldview—the future is ours to build
Get in Touch
Interested in learning more about Vecteur or exploring partnership opportunities? We'd love to hear from you.