Faster, smarter,
and more efficient research
Faster, smarter,
and more efficient research
Accelerate computation, skip repetitive tasks and simplify discovery – with Constructor Research!
Improve the quality of your experiments and discovery with an all-in-one solution that supports scientific and industrial research teams.
A high-performing infrastructure with advanced computing, secure storage, and next-gen collaborative features for data analysis enables you to streamline processes by limiting the need for manual deployment.
Focus on your research while we support and automate your data processing to improve the research innovation cycle and identify new opportunities.
Made by researchers – for researchers
From the office to the lab, develop and realize your research projects with AI-based and computational modelling.
Material scientists
Physicists, biochemistry and bio-material engineers, nanotechnology and polymer scientists
Life scientists
Biologist, genetics and microbiology engineers, biotechnology and bioinformatics scientists
IT engineers
Computer scientists, data analysts, software, robotics and cybersecurity engineers, artificial intelligence specialists
Accelerate your research with advanced computational tools
Automation
Save time with ready-to-use templates and customizable workflows for faster experiments.
Collaboration and instant sharing
Easily share data, algorithms, and results with your team and external partners for immediate feedback and progress.
Reproducibility
Make experiments reproducible by sharing access and ensuring consistency across collaborators.
Workflow management
Organize and access all your research data securely in one place.
Resource management
Optimize your resources, including servers and HPC, to get the most out of your infrastructure.
Security
Keep your research data secure with robust access controls and encryption to protect sensitive information.
The research example that used Constructor
A team under the leadership of Kostya Novoselov and Andrey Ustyuzhanin published a paper “Sparse representation for machine learning the properties of defects in 2D materials” in a prestigious journal npj Computational Materials. The code and the trained model weights are available at Constructor.
Research Process
Before | With Constructor Research | |
|---|---|---|
Server management | Bash/ssh setup with IT | Ready to use in the cloud |
Computational resources | Manually handle HPC, GPUs | On-demand with no setup |
Environment management | Manual software installation and versioning | Pre-configured and automatic |
Team collaboration tools | Complex manual integration | Pre-integrated and ready-to-use |
Leaders transforming the science landscape
Leaders transforming the science landscape
Trusted by
Trusted by
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