Biosimulant for R&D teams
A hosted workspace where your team can build, run and compare biology models. Tell us what you're working on and we'll help you get set up.
What your team gets
- Hosted by us
- Studio and your model runs are hosted on our infrastructure, so there's nothing for your team to install or maintain.
- The models you already have
- Bring SBML and CellML models, ONNX networks or your own Python code, and connect them in one lab.
- Runs you can repeat
- Every run keeps its inputs, settings and model versions, so it can be rerun or compared with another run later.
- No lock-in
- The runtime is open source under the MIT license. The same lab files run on a laptop or in CI, outside our hosted service.
Where Biosimulant fits
Six areas where R&D teams model biology. If yours isn't here, get in touch anyway.
Medical devices
Implants, bionics and bioelectronics
Model how a device and the tissue around it interact before bench or animal work.
- Combine SBML and CellML tissue models with your own Python code for electrodes and stimulation.
- Replace one-off MATLAB scripts with runs anyone on the team can repeat.
Drug discovery
Pharmacology and PK/PD
Explore targets, dosing and virtual patient groups before committing to experiments.
- Connect pathway, cell and machine learning models in one lab.
- Each run records its inputs and model versions, so results can be checked and repeated.
Wet lab
Simulation beside the bench
Use models to decide which experiments to run next.
- Turn spreadsheet calculations into models the whole team can rerun.
- Bench scientists can open a lab in Studio and change its inputs without writing code.
Synthetic biology
Pathway and strain engineering
Simulate pathway and strain designs before you build them.
- Combine SBML pathway models with your own kinetics in one lab.
- Run design variants and compare the results side by side in Studio.
Neurotech
Brain-computer interfaces
Model neural circuits, stimulation and tissue response together.
- Connect neuron models with stimulation waveforms written in Python.
- Every model version is kept, so a result can be rerun later.
Bioindustrial and agbio
Bioreactors, fermentation and crops
Model bioreactor runs, fermentation scale-up and crop growth.
- Keep process models in one place instead of scattered notebooks.
- Versioned labs mean everyone works from the same model.
Talk to our team
Tell us what you're modeling and how your team works today.
- We'll reply by email to set up a call about your models and your team.
- Biosimulant is hosted by us for now. If you need it to run in your own cloud, say so in your message.
- We'll talk through pricing based on your team size and the compute you expect to use.