Research platforms
The speed of scientific and industrial progress is limited by the tools available to researchers and engineers. We invest in platforms that compress discovery-to-deployment timelines across domains.
Research infrastructure is a leverage point across every technical domain. Companies that build better tools for experimentation, validation, and scale-up create value not just for themselves but for entire ecosystems. We look for platform companies that become essential infrastructure for researchers, engineers, and technical teams — the picks and shovels of frontier science and engineering.
Laboratory automation
Robotic systems, workflow automation, and LIMS platforms that increase throughput and reproducibility in research and development environments.
Data infrastructure
Scientific data management, analysis pipelines, and collaboration platforms for research teams across academia and industry.
Simulation and modelling
Computational tools for virtual prototyping, process simulation, and predictive modelling across engineering and scientific domains.
Scale-up systems
Platforms and processes that bridge the gap between laboratory results and industrial-scale production.
- Much of R&D time still goes into setup, repetition, and handoffs — automation and better tooling free teams for design and inference.
- Reproducibility and data quality are persistent bottlenecks in life sciences and engineering.
- Simulation and digital twins can reduce costly physical iteration when models are trusted.
- Platforms that sit in critical workflows tend to retain usage and expand within accounts.
Energy systems
→Storage, hydrogen, and grid infrastructure that makes decarbonisation operable at scale.