Overcome the renewables and energy challenges while accelerating, standardizing, digitalizing your R&D with Chemspeed's tailor-made solutions.
The sustainable supply of energy and chemicals becomes continuously more challenging as the global demands increase dynamically while we are facing increasing constraints related to fossil fuels, nuclear power plants, regulations in the context of CO2 emissions and global warming at the same time.
R&D organizations therefore need to cope with these challenges typically with the same amount of resources. The only way out of this “catch 22” is to accelerate, standardize and digitize R&D.
Chemspeed provides highly innovative, high throughput and high output solutions which accelerate, standardize, digitze your R&D without compromise by using concepts designed for scientists by scientists in areas such as: Development (synthesis, formulation, application, testing) of alternative energy solutions providing innovative materials or renewable (non-petro based) chemicals, e.g.
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Chemspeed's FLEX POWDERDOSE with its proprietary overhead gravimetric solid dispensing / dosing (mg to g) and our user-friendly software allow you to automatically dispense virtually any powder / solid and extrudate into any type of destination.
Automated gravimetric solid dispensing / dosing - precision, accuracy, speed, data integrity (incl. applications in GMP environments).
Gravimetric pick & decision dispense of solids (matrix-to-matrix) - paradigm shift in solid / powder distribution / reformatting.
Step-change in end-to-end DSC sample preparation - gravimetric pick & decision dispense of solids / matrix-to-matrix reformatting.
Step-change in end-to-end NMR and LCMS sample preparation - gravimetric pick & decision dispense of solids / matrix-to-matrix reformatting, dissolution and online / offline NMR and / or LC-MS (incl. applications in GMP environments).
Paradigm shift in catalyst screening - gravimetric pick & dispense of ligands, catalyst precursors, catalysts.
Automated, parallel library synthesis / lead optimization in drug discovery (medicinal chemistry).
Automated, parallel library synthesis and reaction screening with online benchtop NMR (e.g. automated synthesis, online characterization, data analysis, AI / ML closed loop).
High throughput library synthesis of organics, inorganics, and hybrid materials in disposable glass vials and / or reusable double-jacket reactors and / or microwave reactors and / or photochemical glass reactors with mixing, heating, refluxing, cooling, vacuum, inert gas.
Parallel heterogeneous catalyst preparation by automated versatile impregnation such as incipient wetness, excessive liquid impregnation. You certainly face challenges in manual catalyst preparation by impregnation like:• Lack in quality and reproducibility• Lack in systematic diversity for optimization & innovation• Increasing constraints by environmental impacts and corresponding regulations
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At the University of Liverpool, AI-powered robots are transforming lab work.
The challenges posed by global climate change and disease risks have intensified the demand for efficient and practical materials and molecules. Traditional trial-and-error approaches are becoming increasingly inefficient and resource-intensive. The rapid advancement of artificial intelligence (AI) has opened new avenues to accelerate research and shorten development cycles.
Iridium (III) complexes are used for a wide variety of applications owing to their thermal stability, tuneable electronic properties and strong photoluminescent character. Iridium (III) complexes can be structurally altered to change the wavelengths of light they absorb and emit making them desirable for organic light emitting diodes (OLEDs) and photocatalysis.
The design and synthesis of functional polymers, aimed at targeted properties through specific structures, have long been challenged by their complex and often nonlinear structure− property relationships. Key processes, including knowledge accumulation for predictive design and experimental refinement and validation, are traditionally labor-insensitive and timeconsuming, making it difficult to balance accuracy and efficiency.
Self-driving labs (SDLs) combine robotic automation with artificial intelligence (AI) to allow autonomous, high-throughput experimentation. However, robot manipulation in most SDL workflows operates in an open-loop manner, lacking real-time error detection and error correction. This can reduce reliability and overall efficiency.
The design and discovery of porous materials have become a central theme in materials science, driven by their applications in gas storage, separation, carbon capture, and catalysis. Rapid advances in synthetic chemistry, particularly in metal–organic frameworks, porous organic cages, and conjugated microporous polymers, have enabled the generation of increasingly large and diverse material libraries.
From innovation to quality, Chemspeed delivers automation & digitalization that grows with your lab.
Chemspeed is a global team committed to enable automated and digitalized workflows for scientists in R&D and QC.
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