We design and run high-throughput experiments to find formulations for concentrated biologics, using excipients already approved in marketed drug products.
Viscosity at high concentration depends on how one particular molecule behaves with one particular set of excipients. So far, it has to be measured rather than calculated, and the combinations worth considering run far beyond what any program can test on its own.
AEMS is built for exactly that problem. We screen at high throughput on small amounts of material, and we optimize with excipients already used in approved drug products. We are also building predictive tools from our own screening data.
A specialist service
Working with AEMS
We agree on the scope with your team, run the screen, and deliver formulation candidates with the measurements needed to assess them.
You bring
The biologic & the question
Your target, available material, and formulation constraints set the scope.
AEMS carries out
Design, screening & analysis
We prepare and measure mixtures, review the results, and decide which experiments to run next.
You receive
Candidates & evidence
Formulation candidates, measurements and conditions, trade-offs, and practical next steps.
Candidates are a starting point for further development and validation.
We screen excipients already used in FDA-approved drug products. Our viscosity-reduction approach does not rely on enzymes or polymers. Ingredient selection still depends on your product, route, and concentration.
Automated screening
We automate formulation preparation and measurement for high-throughput screening. PROPEL uses machine learning to help choose the next experiments from the results.
Experimental design
We use materials-science methods to study how ingredients work together. Testing mixtures in different proportions lets us examine combinations that changing one ingredient at a time can miss.
Where this is going
From measurement to prediction
We are building predictive models from our own research data, with one goal: to recommend a formulation for a molecule before it has been screened. This is a research goal, and we are working toward it alongside our screening service.
The service work supports that effort. We are looking for development teams, funders and research collaborators interested in helping us build this predictive capability.
Scott is a chemist and materials engineer. He completed his doctoral research at Colorado State University and postdoctoral research at Lawrence Livermore National Laboratory.
Alex Hendricks, PhD
Chief Innovation Officer & Co-Founder
Alex works on experimental design and innovation at AEMS. His doctoral research at Colorado State University focused on directed evolution of metal reductases.
Work with AEMS
Discuss your formulation
Tell us about your biologic, your viscosity target, and the material you have available. We’ll discuss which experiments would help.
