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IBI Ag Unveils AI Platform for De Novo Bioinsecticide Protein Design After Key Proof of Concept

IBI Ag Unveils AI Platform for De Novo Bioinsecticide Protein Design After Key Proof of Concept

New updates have been reported about IBI Ag.

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IBI Ag has completed a proof of concept for its artificial intelligence–driven platform that designs novel bioinsecticide proteins from scratch, positioning the company at the forefront of data‑driven crop protection innovation. The platform generated new proteins that were validated in vivo in insect bioassays, confirming efficacy against priority agricultural pests while aiming to spare beneficial insects and reduce environmental impact.

By using proprietary biological datasets and intellectual property, IBI Ag’s de novo design approach is intended to shorten development timelines and broaden the addressable pest spectrum beyond what naturally occurring proteins can cover. Management sees potential to improve commercial parameters such as production cost, shelf life, stability, and field resiliency, which could enhance margins and adoption rates.

CEO Arnon Heyman described the platform as, to the company’s knowledge, the first de novo protein design system dedicated to bioinsecticides and a strategic lever to exploit IBI Ag’s IP in insect control targets. The successful POC effectively expands the company’s R&D pipeline, enabling systematic discovery and validation of additional candidate molecules.

IBI Ag plans to move the newly discovered proteins into greenhouse and field trials over the coming growing seasons, a critical next step toward regulatory engagement, product registration, and eventual commercialization. The company intends to collaborate with agricultural partners globally to test efficacy in diverse geographies and cropping systems.

This initiative reinforces IBI Ag’s positioning as an agri‑biotech player focused on sustainable pest management, building on its existing nanobody‑based mode of action platform. If subsequent trials confirm performance and safety, the AI‑enabled design capability could support premium pricing, portfolio diversification, and entry into new markets where conventional and biological insect control solutions have been insufficient.

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