Let Us Change the Way You Think About
Synergistic Antioxidant Mixtures
Effects of Oxidation on Products
Oxidation is a natural process that occurs when products such as food, cosmetics, and lubricants are exposed to oxygen, light, or heat. Learn more about how this degrades product quality:
Loss of freshness and flavor
Foods lose their appeal and nutritional value
Changes in texture and appearance
Cosmetics and industrial products become unstable and less effective.
Oxidation not only affects product quality but also generates significant economic and environmental impact
At Migma, we turn this challenge into an opportunity: We develop advanced solutions that preserve your products' quality, reduce waste, and ensure a more sustainable future.
Let us solve your problem
01
Design
We design the antioxidant mixtures tailored to your
product’s requirements.
70%
longer
expiration date
02
Predict
We use our AI to predict the efficacy of the designed
antioxidant mixtures.
03
Validate
We test the predicted mixtures in real-world applications
with the state-of-art equipment.
Approved
Industries Served
Services Offered
Predictive model
generation
Creating advanced models to predict future trends and optimize outcomes based on data analysis.
Data Modeling
Structuring and analyzing data to create valuable insights for business and research.
R&D and Consulting Services
Providing research and development expertise along with tailored consulting services to drive innovation.
New Formulations Discovery
Innovating and discovering new formulas to improve products and processes.
Licensing and Patenting
Securing intellectual property through patents and licensing to protect innovations.
R&D and Consulting Services
Providing research and development expertise along with tailored consulting services to drive innovation.
Our Science
Get to know the peer-reviewed publications behind our solution.
Functional Deep Eutectic Solvents to Boost Antioxidant Synergism in Edible Fats
The first DES-based antioxidant is described here!.
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Deciphering antioxidant interactions via data mining and RDKit
This paper details how a novel approach can learn faster than ever before.
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Predicting Antioxidant Synergism via AI and Benchtop Data
This publication explores the use of AI to predict the synergy between various antioxidants.
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eutXG: A Model to Understand and Predict the Melting Point of X-DES
This paper details how a novel approach can learn faster than ever before.
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Predicting the Formation of NADES Using a Transformer-based Model
The first demonstration of AI to predict the formation of Deep Eutectic Solvents.
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