Formulation Physicochemical Property Predictor and Optimizer
Digital twin instruments powered by deep neural networks trained on actual experimental data. Our molecular encoder was built for chemistry and trained on millions of chemical structures
Our models doesn't just crunch numbers or call an LLM, it understands molecular structure. Trained on millions of chemical compounds, it predicts how ingredients interact and what properties they'll create. That means smarter recommendations from less data.
Proper viscosity flow curves are critical to a product's stability and application. Predict viscosity and rheology flow curves for your formulations without endless lab testing. Generate predictions over any shear-rate and customize to your data.
Even if your product works in theory, you can't ship it if it doesn't remain stable. Predict formulation stability across environmental conditions without months of real-world testing. Fine-tune to your shelf-life requirements and specific constraints.
Surface tension governs how a formulation wets, spreads, and interacts with interfaces, directly impacting real-world performance. Predict surface tension and interfacial properties for your formulations. Fine-tune on your surfactant systems to accurately model how ingredients affect surface behavior.
Foaming behavior determines how much foam is generated and how stable it remains, affecting processing, usability, and end-use performance. Predict foam formation for shampoos, cleansers, and other aerated products. Fine-tune on your formulation history to get predictions that match real-world performance.
Leverage our chemically aware encoder to build custom models for any property relevant to your product. Bring your data, and we’ll develop a specialized model tailored to your unique requirements.
See it in action
Want to see how it works in practice? Join our 20-minute webinar for a product walkthrough and demo. Sessions run every Tuesday and Thursday at flexible times.
Sign up for our webinar!What sets FastFormulator apart
The only platform that predicts properties of full, complex formulations using pretrained, chemistry-aware models trained on proprietary mixture data.
Universal molecular encoder
Our chemistry-aware encoder adapts to new properties without starting from scratch, reducing data requirements for custom models by leveraging foundational chemical knowledge.
Pre-trained foundational models
Hit the ground running with models already trained on common properties like viscosity and stability. Finetune from a proven baseline instead of building from zero.
Trained on proprietary complex mixture data
Trained on thousands of proprietary complex formulations, our models understand multi-ingredient interactions in real products, not just isolated compounds like traditional chemical AI or LLMs.
Finetune on your data
Take any of our foundational models and finetune them on your proprietary data and ingredients. Leverage our universal molecular encoder and pre-trained knowledge for faster convergence and better accuracy from smaller datasets.
Your data stays yours
Your proprietary formulation data remains completely siloed and secure. We never mix it into our foundational models. It's used exclusively to finetune the models on your behalf and stays fully under your control.
True industry flexibility
From cosmetics to coatings, pharmaceuticals to agriculture—predict the properties that matter most across any industry with one unified platform.
Cut formulation cycles from months to weeks
See how teams are using FastFormulator to reduce failed experiments, accelerate time to market, and make product decisions backed by predictive models instead of guesswork.