deepmath
About Us
We are a deeptech startup founded in 2023, advancing engineering simulations through cutting-edge numerical methods and artificial intelligence. We support innovation across industries including offshore renewables, marine engineering, aerospace, automotive, and energy, delivering high-fidelity or real-time simulations for critical engineering decisions. More here.
At the intersection of advanced simulation and AI-driven engineering software, we develop intelligent tools that go beyond standard workflows. Our flagship innovation is an AI-powered intelligent mesh generator for CAE and CFD. A key enabling technology designed to remove long-standing bottlenecks, accelerate workflows, and improve simulation quality. More here.
With a multidisciplinary team based in France and Brazil and a growing presence in the United States, empowers engineers wordwide to design faster, reduce computational costs, and build more sustainable solutions.
Value Proposition
We help engineering teams build a numerical laboratory around their assets, from simulation-based design to operation. By combining high-fidelity physical models with AI-driven predictive capabilities, enables faster design iteration, asset performance prediction, predictive maintenance planning, and better-informed technical decisions.
The result is a tailored engineering decision-support environment, turning simulations, operational data, and engineering knowledge into actionable insight for each client's specific assets, industries, and constraints.
1. Physical World
Real assets, operating conditions, environmental loads, and field constraints define the engineering problem.
2. Engineering Simulations
High-fidelity numerical models translate physical behavior into measurable simulation outputs.
3. AI-Powered Engineering
Learning systems connect simulation evidence, design variables, and expert knowledge into reusable models.
4. Predictive Digital Twin
A live engineering representation supports faster iteration, operational insight, and robust decisions.
The result is a tailored engineering decision-support environment, turning simulations, operational data, and engineering knowledge into actionable insight for each client's specific assets, industries, and constraints.
Predict
Future asset behavior through high-fidelity physical and AI-driven models.
Optimize
Designs, operating strategies, and maintenance planning with faster engineering iteration.
Decide
With confidence using tailored insights grounded in simulation, data, and asset constraints.
Founding Team
The founding team, in collaboration with its partners, brings together cutting-edge expertise in mathematical modelling. They saw an opportunity to help the industry in building a better future to society and the environment.
Liad is a naval and oceanic engineer, a researcher for 14 years in computational hydrodynamics, offshore environment and infrastructures. He is involved in the study of fluids using artificial intelligence. He earned his degrees at the École Centrale de Nantes.
Bruno is a researcher in computational mechanics for 15 years, with expertise covering a variety of fields, such as structures, fluids and artificial intelligence. Bruno earned his degrees at the École Centrale de Nantes in co-supervision with Lisbon and Barcelona.
Our Experts
Talent acquisition is a core pillar of our growth strategy. Our multidisciplinary team brings together deep expertise in simulation, machine learning, and software engineering.
Partners
Funding
Ecosystem
Technology
Academic
Development
Recruiting
FR
Job Offers:
• Artificial Intelligence R&D Engineer.
• Computational Geometry Specialist.
BR
Oferta de estágio:
• Simulação de Fluidos e Estruturas.
Contact
Liad Paskin
Founder & CEO
liadpaskin@deepmath.tech
+33 07 81 09 72 90
Bruno Tessaro
Founder & CTO
brunotessaro@deepmath.tech
+33 07 66 66 80 26
deepmath solutions
SIRET 98216894000012
12 Rue Olivier 44100 Nantes