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Engineering the materials of what comes next.

We bridge the gap between computational physics and real-world engineering. At Yaavik, we leverage AI and machine learning to compress R&D timelines, transforming complex molecular lattices into high-impact materials. Our mission is to accelerate discovery through a three-step approach: computational discovery, experimental partnership, and application engineering. By embedding ourselves in the European research landscape, we build pioneering consortia that drive the frontier of advanced materials and deeptech innovation.

Our Approach

01

Computational Discovery

02

Experimental Partnership

03

Application Engineering

We leverage high-performance computing and machine learning to simulate complex material behaviors, compressing traditional R&D timelines from years to weeks.

Our simulations are validated through rigorous experimental collaboration with leading academic institutions and industrial partners to ensure real-world performance.

We bridge the gap between discovery and deployment, engineering tailored solutions for energy, quantum, and sustainable materials applications.

Grants & Consortia

Strategic navigation and execution for UK and European research partners.

01

Grant Strategy & Proposal Development

We identify relevant funding calls, assemble research consortia, and develop competitive proposals for Horizon Europe and Eurostars.

02

Consortia Formation & Work Packages

Identifying partners, assembling technical teams, and structuring work packages to ensure multi-partner success across the UK and Europe.

03

Horizon Europe & EIC Pathfinder

Active participation as lead applicant, consortium partner, and technical work-package lead in advanced materials and AI discovery.

04

Post-Brexit Horizon Navigation

Supporting UK partners with specialized association navigation and strategic alignment for post-Brexit research funding landscapes.

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