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Quartz Atlas AI™ for Agriculture

As research and development (R&D) costs rise and time to market slows, businesses need fast, efficient ways to test, validate, and launch new agricultural technology products. Deloitte’s Atlas AI™ for Agriculture, powered by NVIDIA, offers an innovative solution to accelerate scientific discovery and enhance product development with artificial intelligence (AI).

Your guide to reducing R&D time and cost

Agricultural product development can be fraught with challenges. But there’s a way to break the cycle of lengthy research phases and extended trial periods, and it starts with Atlas AI for Agriculture. Learn how.

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Put Generative AI and predictive insights to work

See how Atlas AI for Agriculture can help researchers enhance R&D success rates by connecting data, systems, and academic literature to run simulations and experiments in hours instead of years.

Accelerate research and improve scientific decision-making

Atlas AI for Agriculture connects data, large language models (LLMs), and scientific pipelines through a no-code interface to help teams predict, test, and maximize research, while lowering the bar to Generative AI (GenAI) adoption. This helps:

Break down silos and better understand the interaction between molecules and compounds
Simplify research by consolidating access to data, LLMs, and scientific pipelines into a no-code interface
Embrace next-generation AI to improve the accuracy of experiments, simulations, and validations
Accelerate time to market for new crop protection, seed, or fertilizer products while reducing errors and failure rates

Atlas AI for Agriculture

A powerful combination of NVIDIA technology and Deloitte AI models reveal how Atlas AI for Agriculture speeds agriculture technology R&D efforts.

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Data connectivity

Aggregate and visualize data across multimodal data sources and open-science reference databases.

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Scientific language models

Get visibility into molecule sequences, structures, and more with industry-specific, proprietary language models.

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GenAI

Leverage advanced GenAI capabilities without needing to procure or manage underlying infrastructure.

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