intelligent automation
Reinventing how complex
molecules are made -
faster, cleaner, smarter
Coretech provides a closed-loop physical AI platform that makes chemical process development self-optimising. Think of it as an autopilot for your lab – it runs experiments, learns from each result, and automatically hones in on the best way to produce your molecule, while still leaving you captain of the ship.
Coretech provides a closed-loop physical AI platform that makes chemical process development self-optimising. Think of it as an autopilot for your lab - it runs experiments, learns from each result, and automatically hones in on the best way to produce your molecule, while still leaving you captain of the ship.
THE DEVELOPMENT GAP
Problem > Shift > Opportunity
Problem:
Modern discovery has sped up, but process development remains slow, manual, and costly. Even with record‑fast breakthroughs in medicines research, delays and rework in manufacturing and process development still cost millions and slow delivery to those who need them most.
Shift:
By pairing advanced AI with automated reactors in a closed-loop cycle, we can move from laborious trial-and-error to rapid, data-driven optimisation. In short, process R&D is shifting from manual experimentation to adaptive “self-driving” labs - faster, smarter, more reliable.
Opportunity:
Embracing closed-loop AI yields dramatic gains. Optimisations that once took months can finish in days, saving millions in time-to-market and rework costs while cutting waste. It’s a chance to leap ahead in efficiency and quality.
HOW IT WORKS
What Coretech does
Coretech provides a closed-loop physical AI platform that makes chemical process development self-optimising. Think of it as an autopilot for your lab – it runs experiments, learns from each result, and automatically hones in on the best way to produce your molecule, while still leaving you captain of the ship.
Closed-Loop Optimisation – How It Works:
Design:
AI proposes the next experiment (within safe chemical parameters).
Test:
Automated reactors run the experiment and in-line analytics collect data.
Learn:
AI analyses the new data and updates its process model.
Improve:
Repeat the cycle, adjusting conditions to quickly converge on optimal results.
Unlike many AI companies chasing drug discovery, Coretech is laser-focused on the process development stage - figuring out how to make molecules ready to scale.
This is a critical bottleneck in many chemical sectors, so our technology targets the operational gains (faster time to scale-up, lower costs, fewer delays) that deliver immediate value, rather than speculative promises.
THE NUMBERS
Quantified Impact:
Process optimisation cycles cut from months to days.
Cost Savings: Up to $5–10m
avoided by preventing impurity-related reworks.
Speed to Market: $0.5–2m per month
saved by accelerating time-to-market on critical programs.
WHO coretech WORK WITH
Industrial R&D &
Manufacturing Leaders:
Accelerate development from months to days while boosting yields and quality, with minimal disruption to your existing operations.
WHO coretech WORK WITH
Academic Collaborators:
Partner with us on cutting-edge AI–chemistry research and see your innovations scale beyond the lab into real-world impact.
