High-Throughput Experimentation
Digitally Integrated High-Throughput Experimentation
Digitally integrated HTE connecting design, automation, and analytics for faster, confident process decisions.
- Overview
- Where HTE delivers impact
- HTE capabilities
- Case study: Suzuki optimisation
- What you can achieve
- FAQs
At CatSci, High-Throughput Experimentation (HTE) is not just about running reactions faster, it’s about designing the right experiments for confident progression toward scale.
We frame each challenge around your commercial goals, safety, cost, risk, and manufacturability, ensuring experimental work supports robust, scalable chemistry suitable for development.
Through our integrated digital platform, CHETAH, we connect design, execution, and analytics within a single unified workflow.
CHETAH connects:
- Intelligent experimental design (Screening, DoE, Bayesian optimisation, AI-guided approaches)
- Robotic execution under controlled inert conditions
- Automated analytical sequencing and processing
- Structured data architecture compatible with client data lakes
- Visual AI tools and computer vision for enhanced reaction insight
The result is a model-informed optimisation environment where every experiment delivers data-ready data.
Case Study: Suzuki Optimisation
Using CHETAH-enabled High-Throughput Experimentation, we systematically screened catalyst, ligands, solvents, and temperatures across an expanded chemical space, generating structured, decision-ready data in days rather than weeks.
Key Outcomes
- 60% overall cost savings
- 100-fold reduction in catalyst and ligand loading
- Ligand swapped to a 3× lower-cost alternative
- 124 experiments completed in 12 hours of chemist time
- Process transferred for kilogram-scale manufacture
What You Can Achieve
Frequently Asked Questions
HTE is particularly powerful during all phases of development including route scouting, catalytic optimisation and early process development, where structured condition mapping can rapidly reduce uncertainty and accelerate decision-making.
Experimental design incorporates scalability considerations, including catalyst loading, solvent choice and robustness mapping. Conditions are verified beyond plate scale to ensure practical translation.
Yes. Screening of crystallisation, solution-phase and solid-phase metal removal approaches can be integrated into HTE workflows, supported by internal ICP-MS analysis.