AI-DRIVEN MATERIALS ARCHITECTURE
Accelerating industrial R&D through computational physics, autonomous discovery, and next-gen material engineering services.
AI-DRIVEN SOLUTIONS
01
AI discovery pipelines
Generative inverse design and active learning for property prediction and R&D acceleration.
02
Multi-scale modelling
DFT, molecular dynamics, and HPC integration for high-fidelity materials simulation workflows.
03
Industrial R&D Strategy
Translating AI innovation into industrial applications for energy, sustainable ceramics, and coatings.
04
Materials Deployment
Engineering breakthrough materials via machine learning potentials and generative inverse design workflows.
Support for All International Grants Worldwide
Global Funding Opportunities • AI Materials & Energy
Horizon Europe
Lead applicant and strategic consortium partner in Pillar II research for AI-driven materials discovery and digital transformation.
Eurostars
Collaborative R&D funding for innovative SMEs leveraging computational physics and international research networks.
EIC Pathfinder
High-risk, high-impact frontier research focusing on breakthrough technologies in AI-driven materials discovery.
ARPA-E & DOE Programs
Targeting AI-accelerated clean energy materials and advanced grid infrastructure through US-based innovation pipelines.
Breakthrough Energy
Scaling deep-tech solutions for the energy transition with AI-driven discovery of next-gen alloys and semiconductors.
THE GLOBAL AI RESEARCH ECOSYSTEM
We orchestrate a global pipeline for AI-driven computational physics, linking elite academic centers and industrial giants across the USA, UK, and Europe. By fostering high-impact international collaborations, we accelerate the discovery of advanced materials and energy innovations for the B2B sector.
European Grants & Funding
Horizon Europe
Acting as a lead applicant and core consortium partner in Pillar II research programmes focus on AI-based materials discovery and sustainable manufacturing.
EIC Pathfinder
Driving frontier technologal breakthroughs through high-risk R&D partnerships, applying computational physics and deep learning to materials innovation.
Eureka / Eurostars
Industrial R&D collaboration within international networks, leveraging SME innovation for market-driven materials engineering solutions.