Simpal uses molecular simulation and AI/ML models to predict how materials flow, deform, and interact before physical testing begins.
Predict viscosity, shear-thinning behavior, and flow response across processing-relevant conditions.
Estimate tensile strength, stiffness, and deformation behavior before running a single physical test.
Check polymer–polymer, additive, adhesive, and coating compatibility under processing conditions.
Simulate flow, tensile strength, and mixing stability in our virtual lab.
Drop in what you measured. The simulations calibrate to your real product.
A graph neural network reads each molecule, formulation context included.
Properties for blends you have never mixed, predicted by private AI Models.
Ask like you would ask a colleague.
The agent plans the runs, waits for your go-ahead, and tells you when the results land. You don't need to know how the simulation works.
You still confirm in the lab. You just stop searching there.
EcoPals develops polymer-modified materials where formulation decisions depend on rheology, mechanics, compatibility and processing behavior across complex systems.
Simpal was built to cut the formulate-test-reformulate cycle: create digital material specimens, run virtual tests, and identify the next most valuable physical validation step.
Physical testing remains essential. Simpal does not replace measurement. It narrows the search space and makes validation targeted and reproducible.
Request our methodology white paper to learn about our physics-informed simulation framework, material modeling pipeline, and virtual testing workflows.
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