By applying its advanced computational system, Agrematch can reveal molecules with biological activity (bioactive compounds) which were previously inaccessible by traditional discovery methods.
Agrematch’s artificial intelligence (AI) based discovery system, Agresense™, finds bioactive compounds faster and cheaper than ever before, while reducing development risks. Agrematch’s discovery engine is applicable to a wide range of industries, including nutrition, human health, and agriculture.
There is a wide array of applications which require novel bioactive compounds for their products.
Yet discovery of new compounds with specific requirements is very challenging, prohibitively expensive and inherently comprises high risk of late-stage development failure.
Current discovery methods are inefficient and have exhausted the known chemical space. They simply don’t possess the highly advanced tools required to satisfy the market's growing need for sustainable compounds.
Agrematch harnesses AI-based data-science to revolutionize the discovery process of new bioactive compounds
Founded in 2017, Agrematch is a data-science product discovery and development company located in Rehovot, Israel, catering to industries that require novel bioactive compounds for their products.
Agrematch’s multidisciplinary scientific team combined computational models, AI, machine learning (ML), big-data science and extensive biological and chemical know-how to develop Agresense™, our revolutionary AI engine for the rational identification of bioactive compounds. To date, the company has proven the value and advantages of its technology by uncovering several active compounds.
More than 1060 compounds are estimated to follow the Lipinski rule and are potentially feasible product candidates.
So far, existing models have had little success in navigating the chemical map and uncovering new meaningful ground.
We have developed a new biochemical language that articulates the needs and lights up spots around novel functional bioactive compounds.
a compound-organism interaction prediction system
Agrematch takes a compound-based product approach utilizing big-data tools to predict early and downstream considerations which are necessary for successful product launch.
Agresense™, our multi-layered discovery engine, is based on data science techniques that generate proprietary computational models to produce viable solutions. Agresense™ does this by predicting the bioactive compound's compatibility, and effect, on the target organism. Utilizing this system dramatically increases the extent of virtual screening, accelerates the development process, and mitigates the risks of not meeting downstream product requirements.
Agresense™ is especially tailored to identify sustainable and natural compounds that will be safer to the environment. While the system engine is domain agnostic, our initial focus was on the sustainable agriculture domain.
As a result, Agresense™ generated a set of active hits and product leads that comprise the company’s compound pipeline in this domain, with several compound families in various product development phases. Agrematch’s pipeline includes several compounds with weed and disease control properties, which were validated in field trials and are continuing through the development process. We focus on compounds which can successfully go through the development and registration process to become commercial products for sustainable agriculture.
Agrematch's management team is composed of proven entrepreneurs and is backed by a strong advisory board.