Trusted by R&D teams

Make Confident Decisions with Far Less Data.

SuntheticsML is an AI platform for optimizing chemical experiments and processes in complex, data-limited R&D.

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scientist

Stop running experiments that don't move you forward.
‍

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Reach the Right Answer, Faster

Converge on the true optimum, not just a local one.

Understand Every Recommendation

See which variables matter, and why.

Go Beyond What DOE Can Handle

Built for many variables, interactions, and noise.

Built for Bench Scientists

No coding. Upload, set a target, optimize.
How it works
SuntheticsML guides your experimental workflow from your first data upload to a confirmed optimum. You can start with an existing dataset or use the built-in DOE module to design your first experiment. The platform analyzes your results, identifies which variables matter most, and recommends the next experiments most likely to improve performance.

You can start with a Design of Experiments (DOE) setup or follow the workflow outlined below.
Upload you data illustration

Upload your Data

Starts with as few as 5 experiments or observations.
Configure your target illustration

Define Your  Target

Set the outcome you want to optimize.
Follow our algorithm illustration

Run Smart Experiments

Follow our suggestions on best experiments for optimal performance.
Reach Your Goals illustration

Achieve your Goals Faster

Campaigns converge on optimal conditions with fewer runs.
Don’t have data yet? Start strong by using our DOE module to design your first experiments. This step is optional, but highly recommended for faster results and better model performance.

The Sunthetics Advantage, Up to

99

%

Accuracy

prediction in Sunthetics-guided ML campaigns

97

%

Reduction of experiments

in Optimization Campaigns vs traditional DoE and HTE methods

32

X

Faster Progress

in Optimization Campaigns vs traditional DoE and HTE methods

Powerful ML software

Leveraging small data with machine learning for better results

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Sunthetics graph illustration

The future of R&D

Features you want

Explore your data with intuitive visuals, identify key variables, and evaluate model performance. Define constraints, map your predictive space, and optimize efficiently with Bayesian optimization. Set multiple objectives and analyze trade-offs to solve complex problems confidently.
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Validation Technology

Find out more about our case studies and how world leaders are using Sunthetics ML to accelerate their research.
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Seamless Integration

A friendly webapp you can start using right away! No coding or ML knowledge required.
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Technology

SuntheticsML utilizes a modified Bayesian Optimization approach tailored for small data, fast-track chemical innovation, and experimental R&D.

We help you make the most out of your data. Whether you already have data or are still generating it, SuntheticsML enables visualization, exploration, modeling, and optimization for your R&D workflows.

The best part? Our platform is easy-to-use, reaction-agnostic, processes data within minutes, and does not require coding knowledge.


You can access them through our cloud-based platform or in an Advanced ML Consulting agreement.
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Sunthetics Bayesian algorithm illustration

Hear from our customers

Global Innovator Leader in Advanced Materials and Coatings
Materials and coatings
SuntheticsML accelerated our scale-up efforts dramatically — it feels like we’ve gone from the Stone Age to the future in just a few weeks.
Ghent university
Center for Sustainable Chemistry Ghent University
"During the exploration of new synthetic methods, the Sunthetic platform allowed us to rapidly optimize yield and selectivity, and more importantly to determine the relative impact of each parameter. The real asset of the platform relies on 1. Its user-friendliness, 2. The speed of calculation (less than a minute), and 3. The availability and support of the Sunthetic team. The algorithm took us to sets of reaction conditions we would never have thought worthy of testing – one of which turned out to be the optimum set of conditions!"
J-Star research
Leader in pharmaceutical and biotechnology industries
After a successful retrospective validation, J-Star Research Scientists were able to reach a 67% reduction in experiments for the “optimization” of crystallization conditions using SuntheticsML proprietary technology, compared to traditional statistical design of experiments. SuntheticsML is a useful and easy to use platform, which automatically builds and optimizes machine learning algorithms to guide experimental work towards optimal operation conditions.

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Discover how you can utilize the easy-to-use machine learning software now. Explore the functionalities of this user-friendly machine learning software for seamless integration into your processes.

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