Introduction
Scientific discovery is no longer just about what happens in the lab—it’s about how we enable research through computing, automation, and AI. At Carlsberg Research Laboratory (CRL), our Accelerate Research initiative is designed to remove bottlenecks and drive breakthroughs by embedding cutting-edge technology into every step of the scientific process.
The Five Core Principles of Acceleration
To ensure our researchers can spend more time on discovery we are focusing on:
- Digitizing the Laboratory – Moving beyond manual processes to automated, IoT-enabled research environments.
- Data Platform – Creating scalable, accessible, and AI-ready data infrastructure that eliminates data silos.
- Reusable Workflows – Standardizing and automating research pipelines to improve efficiency and reproducibility.
- High-Performance Computing (HPC) – Powering complex simulations and large-scale data analysis. We are also preparing for the future of quantum computing, which promises to transform how we model molecular behavior and simulate complex biochemical systems at unprecedented speed and scale.
- Artificial Intelligence – Enhancing data analysis, predictions, and research automation beyond just generative AI.
The Expected Impact
By modernizing our approach, we aim to:
- Reduce research setup time by up to 70%
- Accelerate experiment iteration by 3x
- Improve cross-team collaboration efficiency by 5x
- Unlock deeper insights through AI-driven analysis and automation
We’re not just improving research at CRL; we’re redefining how scientific computing fuels innovation. The future of research is fast, automated, and AI-driven.
