Harnessing the Power of AI for Regenerative Agriculture

Transforming Agriculture
with AI

At VensoGrow, we believe the future of agriculture lies in intelligent collaboration with nature. As climate extremes intensify, AI offers us a way to build adaptive, biologically integrated control systems that sense, respond, and evolve with changing ecosystems.

AI drives the decision-making behind our seed treatment process, using data to guide precision at every stage and eliminating the need for expert operators. BreezeCoat™ improves with every application, learning from both field results and advanced simulation models.

This means our system gets smarter over time, delivering reliable performance across varying crops, climates, and coating conditions.

AI in Action:
Smarter Coatings, Better Crops

We’re applying AI technologies, including reinforcement learning, cutting-edge computational fluid dynamics simulations, and high-quality datasets, to optimise BreezeCoat™. Just as AI learnt to defeat grandmasters in challenging games such as Go, we teach our system how to maximise crop health and microbial performance across variable seed and coating conditions. This enables continuous improvement without relying solely on operator expertise—machines that learn, adapt, and outperform at scale.

Continuous Improvement

BreezeCoat™ learns from every application, constantly refining performance across changing environmental conditions and microbial interactions.

Online and Offline Optimisation

Just like DeepMind’s AlphaGo, our system learns and improves from real coating outcomes and computer simulations, fine-tuning treatments without the need for constant human input.

Precision at Scale

Our proprietary control system for BreezeCoat™ hardware will support repeatable, data-driven decisions to deliver consistent crop outcomes across large-scale operations with a wide range of seeds and coatings.

AI from Day One
Built to Simplify Complexity

Unlike many traditional seed coating solutions, VensoGrow has embedded AI into the core of our control software from the outset.

Our platform is designed for complex, networked systems, utilising high-performance Computational Fluid Dynamics to generate massive amounts of simulation data, which trains our AI models on a 24/7 basis.

This enables BreezeCoat™ to adapt and improve constantly, learning from a wide variety of seeds and coatings with diverse heat and mass transfer properties and aerodynamic behaviours.

Scalable & Repeatable – Automation Without Compromise

AI allows us to remove human bottlenecks in seed treatment applications. Instead of relying on expert operators, our intelligent control systems make precision repeatable—scaling up production without compromising on quality. Let the machines do the heavy lifting while you focus on outcomes.

This means reliable performance at an industrial scale every time.

Our vision goes beyond automation. We're building technology that enables resilient, intelligent, and human-centred innovation, contributing directly to the global challenge of sustainable food production.
Spherical Seed Heat Model
Elongated Seed Heat Model

Advanced Seed Control- Software in Action

Watch how our AI-powered control systems enable precise, automated application of BreezeCoat™ formulations, adapting in real time to changes in seed type, formulation, and environmental conditions.

The video demonstrates how reinforcement learning and data integration work together to deliver consistent quality, reduce operator dependency, and scale efficiently.

The Future of AI at VensoGrow

VensoGrow’s commitment to long-term value and industry transformation ensures lasting ROI through proactive system monitoring and continuous model refinement.

We empower teams across the Seed Applied Technologies ecosystem, from agri-seed and fertiliser companies, to co-ops, distributors and on-farm users, enabling collaboration and supporting the next generation of operators and decision-makers to thrive in a rapidly evolving industry.

Through enhanced precision and consistency, our AI-powered systems reduce waste and support climate-resilient cropping, optimising performance even under increasingly variable growing conditions.