Discovery and Process Chemistry should be one.

Today, many companies face a hidden tax: after discovery, they must effectively “re-discover” their own chemistry. Route scouting is repeated, conditions are re-optimized under tighter process windows, and impurities that were previously ignored become critical challenges. Batch-to-batch variability emerges, chemistry changes at scale and previously acceptable reactions fail due to factors such as poor mixing, uncontrolled exotherms, sensitivity to trace contaminants etc.

This duplication of effort is not just inefficient, it introduces risk. Late-stage process failures can derail timelines, increase cost of goods, and complicate regulatory filings.

For too long, discovery chemistry and process chemistry have been treated as fundamentally different disciplines, separated by a costly and time‑consuming translation step. But what if they didn’t need to be?

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We believe discovery and process chemistry should be one continuous, unified approach.

When discovery is carried out with the rigor, precision, and traceability of process chemistry, the benefits are immediate. Experiments are designed with defined critical process parameters and critical quality attributes from the outset. Reaction conditions, temperature profiles, solvent systems, concentrations, stoichiometry, mixing regimes, and residence times are systematically controlled and recorded rather than loosely explored.

This enables reproducibility not just within a single lab, but across teams and scales. Data is structured and contextualized making it inherently reusable for scale-up, modelling, and regulatory documentation.

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Instead of generating promising but fragile results that will need re-discovery or re-tweaking, scientists should produce outcomes that are inherently robust and closer to real-world applications. When processes are better understood alongside chemistry context, side reactions are identified earlier, and scalability constraints, such as heat transfer, mass transfer, solubility limits, and reagent stability are considered during initial design rather than deferred to another department.

This shift doesn’t just improve science, it transforms how businesses operate.

By aligning discovery with process chemistry from the outset, that inefficiency disappears. Experiments are built around scalable reaction regimes, whether batch or flow, and informed by engineering considerations such as reactor design, agitation efficiency, and thermal management. Design of Experiments (DoE) and statistical modelling can be done early, enabling a deeper understanding of reaction space and robustness.

What is developed in the lab is already should be designed with scale in mind. There should be no need to retrofit or reinterpret. Technology transfer becomes a continuation, not a reinvention, of previous work.

The result is faster development timelines, lower costs, and a more direct path from idea to impact. Fewer iterations are needed between R&D and manufacturing, and process validation becomes more predictable because variability has already been minimized and characterized.

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Perhaps most importantly, this approach elevates the role of the chemist. Instead of spending time reworking or troubleshooting avoidable inconsistencies, scientists can focus on mechanistic understanding, reaction innovation, and the development of novel synthetic routes. They operate not just as explorers of chemical space, but as architects of scalable, reliable systems.

Unifying discovery and process chemistry isn’t just an operational improvement, it’s a fundamental rethink of how chemistry should be done. By embedding scalability, data integrity, and process understanding from the very beginning, we unlock a future where better science leads directly to better outcomes, without unnecessary friction in between.

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