The need for urgent action in global agriculture has never been more compelling.

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A NEW
WAY

The Traditional Way

The Enko Way

From massive physical infrastructure
To small, scalable footprint
From years to determining mode-of-action
To mode-of-action by design
From phenotypic screening, target unknown
To target-based discovery with predictive analytics
From a library of millions of molecules
To a library of billions of molecules
From trial-and-error optimization
To structure-based design, AI and Machine Learning
From routine testing cascades
To safety through selectivity

Our
Technology

ENKOMPASS™ is Enko's unparalled discovery engine that has exceeded the standard productivity of any well-established company within the agrochemical industry.

Enko's AI and Machine Learning discovery platform, ENKOMPASS™ guides the company’s R&D, identifying modes of action (MOA) and lead molecules 75% faster and at 90% lower cost than traditional R&D methods, screening billions of molecules simultaneously for safety attributes and efficacy before more costly optimization.

Data is the soil that feeds crops

AI models are only as good as their data sets, just as crops are only as good as their soil. Enko’s approach to discovery turns what used to take years into months using best-in-class data to inform AI’s discovery of crop protection products. By managing and testing billions of unique molecules, leveraging large, qualitative data sets to inform experiments regarding farm safety (including soil) and narrowing down to the most promising candidates quickly.

Enko stands apart from legacy players who may test far fewer molecules annually.

Our technology not only enhances productivity but also aligns seamlessly with the future of farming. By prioritizing high-quality data and rapid experimentation, Enko will equip farmers with targeted solutions to address today’s challenges and prepare for future threats.  

>> Watch our video to understand the science.

DNA-encoded Libraries

DNA-encoded Libraries (DEL)

DNA-encoded libraries (DEL) are changing the way the drug industry discovers new compounds. Enko is among the firs to apply this technology to the agriculture industry. By using DEL, Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively.

Artificial Intelligence (AI)

Artificial Intelligence (AI)

Enko is building large, unique datasets. We leverage physics-based models, advanced data analytics, Artificial Intelligence, and Machine Learning to discover novel molecules that meet our product safety and sustainability goals.

Machine Learning

Machine Learning

Machine learning combines with the DNA-encoded libraries (DEL) to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations across enzymes within our target pests. These high-quality training data points feed into our machine learning models to enable our researchers to find the right molecules with more favorable properties more quickly and effectively.

Structure based design

Structure based design

Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals while minimizing off-target effects. By knowing the target from the start, we can quickly achieve potency and selectivity through structure-based design.

DNA-Encoded libraries (DELs)

DNA-encoded Libraries (DELs)

DELs are changing the way the drug industry discovers new compounds. Enko is among the first to apply this technology to the agriculture industry. Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively using DEL technology.

Artificial Intelligence (AI)

Artificial Intelligence (AI)

Our AI platform accelerates research by rapidly putting results into the hands of researchers and allowing them to seamlessly incorporate the data from all previous research.  The result is that we can achieve potency and selectivity with far fewer resources creating opportunities to pursue projects not practical for other organizations.

Machine Learning (ML)

Machine Learning (ML)

ML combines with the DNA-encoded libraries (DELs) and our Artificial Intelligence platform to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations. These high-quality data are used to train machine learning models that enable our researchers to find active molecules with favorable properties more quickly and effectively.

Structure Based Design

Structure-Based Design

Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals focused on efficacy and safety. This target knowledge allows us to use Structure-Based Design to identify the parts of a molecule which can be altered to ultimately deliver safe, effective, and sustainable solutions to growers.

DNA-Encoded Libraries (DEL)

Tapping vast new molecular space through efficient screening of billions of molecules.

DNA-encoded libraries (DEL) are changing the way the pharmaceutical industry discovers new compounds. Enko is among the firs to apply this technology to the agriculture industry. By using DEL, Enko is able to tap vast new molecular space and to screen billions of compounds against each of our targets very quickly and cost effectively.

Artificial Intelligence (AI)

Leveraging automation and proprietary predictive analytics to streamline decision-making.

Enko is building large novel datasets. We leverage physics-based models, advanced data analytics, Artificial Intelligence, and Machine Learning to discover novel molecules that meet our product safety and sustainability goals.

Machine Learning

Unlocking virtual screening to increase speed, drive down costs, and improve outcomes.

Together, machine learning combines with the DNA-encoded libraries (DEL) to supercharge Enko’s discovery process. Each DEL experiment results in massive datasets with billions of binding observations across enzymes within our target pests. These high-quality training data points feed into our machine learning models, enabling us to find the right molecules with more favorable properties more quickly and effectively.

Structure Based Design

Targeted design for better outcomes by incorporating safety, selectivity, and potency from the start.

Our deep understanding of plant, insect, and fungal biochemistry enables us to select targets and molecules that are most likely to meet our product goals while minimizing off-target effects. By knowing the target from the start, we can quickly achieve potency and selectivity through structure-based design.

OUR
Products

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