Green chemistry - from pilot to commercial production

Substitution of reagents and solvents by greener alternatives and utilization of renewable feedstocks can have a huge impact on the overall environmental footprint. Thus, we focus on the production of green chemicals and renewable fuels from agricultural byproducts or side streams of the forestry industry. We also recognize various fractions of industrial and household waste, such as plastic, as well as CO₂ as valuable sources of carbon in the circular economy. 

• Electrosynthesis
• Organic synthetic chemistry
• Battery materials

Synthetic route design enhanced by modern digital tools provides an opportunity to device an efficient, economical, and novel manufacturing strategy for your target compound. Moreover,  this enables finding solutions which adhere with current requirements on sustainability and process safety.

• Organic synthetic chemistry

Scale or fail – but do it quickly! Our scale-up experience covers every stage of a process – we can take your ideas from the laboratory to kilogram-scale in a pilot plant and pave the path for commercial manufacturing.  We cover a Technology Readiness Level (TRL) from 1 – 6 according to Horizon2020 definitions, or TRL 1 – 8 according to Vinnova. 

• Chemical process development and scale up
• Biobased material development from design to scale up

All fields, from pharmaceutics to consumer products, material chemistry, biofuels or bio-based chemicals share a great demand for chemical and physical analysis. We provide customized solutions for your specific analytical needs, ensuring highest quality for method development and validation, quality control, stability studies, problem solving and assessments.  

• Chemical analysis

In any stage of process development, chemical process safety is of utmost importance. Acquiring relevant data requires expertise and equipment. For instance, we can support you on your journey towards a safe process with: 

• General process safety evaluation and risk assessment 
• Stability testing of compounds and mixtures under process-relevant conditions 
• Reaction calorimetry and kinetics  
• Material compatibility testing 

Many forms and amounts of data are accumulated during development work and we aim to collect as much data as possible for later analysis as required. We apply statistical modelling, from simple linear regressions to advanced machine learning techniques. Even artificial intelligence can be applied, e.g. in retrosynthetic analysis. 

Publication: Machine Learning to Reduce Reaction Optimization Lead Time – Proof of Concept with Suzuki, Negishi and Buchwald-Hartwig Cross-Coupling Reactions