As a trusted data and AI partner to some of the most innovative leaders in food and agriculture, we continually push the boundaries of AI to elevate performance across the sector.

Rising population drives greater demand for food, while climate change places growing stress on agricultural systems and water resources. With advanced AI and algorithms, we help your business navigate these opposing pressures to achieve sustainable, high-performing outcomes.

Shaping the Future of AI in Agriculture

With shifting climates, rising global food demand, and increasing pressure for sustainability, businesses in the agriculture sector must respond swiftly and strategically. These powerful market forces—combined with long, complex development cycles—create immense opportunities to harness data and AI for transformational impact.

We partner with companies across the agriculture sector to develop and operationalize high-impact AI use cases. From supporting data scientists in applying algorithms to optimize crop yields, to advising leadership on how machine learning can reduce waste and minimize environmental impact—we help turn AI potential into measurable results.

An AI-powered sales engine drives a 6% boost in profit margins.

Challenge

Sales and account managers handle thousands of products across hundreds of businesses. With fluctuating commodity prices and intricate supply chains, keeping track of each customer’s needs and behaviors is a constant challenge. The sheer volume and volatility of information exceed what the human mind can process and retain. As a result, valuable sales opportunities were slipping away, and customers were being lost to competitors—often without the account manager even realizing it.

Solutions

Together with the client, we developed and scaled an advanced analytics engine to support a more proactive sales strategy, enhancing customer service and increasing customer lifetime value. The solution aggregates data from both internal and external sources to uncover patterns in customer behavior and purchasing trends. By applying sophisticated machine learning techniques, it anticipates demand shifts and generates predictive triggers that alert sales managers to emerging opportunities in real time. Continuous feedback is integrated to create a self-improving learning loop between human insight and machine intelligence.

Outcome

The solution has been widely embraced, with sales managers reporting a 90% improvement in their ability to anticipate and meet customer needs. This has led to an increase of over 25 points in customer satisfaction. Globally, the business attributes a 6% rise in gross profit margin to the implementation of the service.

Identifying new opportunities to address evolving market demands

Challenge

Rice breeding is a painstaking and complex process, with new varieties traditionally taking years to develop. However, the rice market faces growing pressure to adapt rapidly to shifting consumer preferences and climate-driven changes in agricultural production. To remain competitive, the industry must harness Data, Analytics, and AI to anticipate fast-changing trends and respond swiftly to market demands.

Solutions

In partnership with our client, we developed a Data Savviness training program designed to equip employees across all departments with the mindset and skills to think like AI natives. From board members to new hires, participants—spanning both business and technical teams—learned to collaborate, communicate, and apply data and AI in their daily work. The program enabled them to design and deliver data-driven, AI-powered solutions to real, pressing business challenges.

Outcome

In its first year, the program engaged over 300 participants, sparking more than 20 new business initiatives now in development or successfully implemented. Notable outcomes include:

• Enhancing breeding efficiency through digital phenotyping
• Boosting seed quality with lot-based priming
• Reducing negative genome regions linked to abiotic disorders