Assessment of data architecture for agrifood applications

This service addresses the common challenge faced by agritech companies when their software or AI solutions need to evolve beyond their initial scope. Companies may face issues like slow performance under increased workloads, difficulty adapting to new use cases, or concerns about system reliability. They may be unsure about which technical improvements would deliver the most business value or how to prioritise development efforts. After engaging with our service, companies get identified gaps and deliver strategies that help them refine their product and get it ready for broader market adoption. They gain detailed insights into their system's current limitations and concrete recommendations for improvement. For example, if a company has developed an AI system for crop monitoring that works well for a single farm, our assessment would reveal exactly how to modify the system architecture and data processing to handle multiple farms simultaneously. Companies also learn which specific technical improvements will have the biggest impact on their solution's performance and scalability, allowing them to make informed decisions about resource allocation and development priorities. Beyond technical improvements, the service helps companies understand the broader implications of suggested changes, including potential impacts on user experience, maintenance requirements, and operational costs. This comprehensive understanding enables them to confidently plan and execute improvements that will support their business growth.

The service is delivered through a structured assessment process that typically spans 4-6 weeks. The engagement begins with an initial consultation to understand your solution's current state and business objectives. Following this, our team conducts a detailed technical assessment. During the assessment period, we require access to your system's technical documentation, architecture diagrams, and performance metrics. If possible, access to a test environment or development instance of your solution will help us provide more accurate analyses. Our team will also need to conduct interviews with key technical staff and stakeholders to understand current challenges and future requirements. You’ll receive a comprehensive report detailing the key bottlenecks we’ve identified, along with actionable insights to help you overcome them and accelerate your path to market readiness.

The service can be tailored to accommodate the customer's desired features, based on the customer's final goal. As an example, a company has developed an AI system for crop monitoring that works well for a single farm and wants to handle 50 farms simultaneously. Our assessment would analyse features like possible bottlenecks, required system memory and storage, network bandwidth requirements, and the associated infrastructure costs for such expansion.The assessment can be comprehensively customised according to the specific system under evaluation. This includes thorough examination of data systems architecture, processing pipeline efficiency, algorithmic performance under load, and the final integrated system where the solution operates. Whether the focus is on database scalability, real-time processing capabilities, machine learning model performance, or end-to-end system integration, our analysis adapts to the technical stack and operational requirements. The metrics concerning system resilience and scalability are selected based on the customer's specific requirements and strategic priorities for their solution. These may include response time under varying loads, fault tolerance capabilities, resource utilisation efficiency, cost per transaction scaling, or recovery time objectives. Customers should be aware that the assessment timeline may vary depending on system complexity and the depth of analysis required, typically ranging from two to six weeks for comprehensive evaluations.