Aikemy provides AI-driven software for poultry producers to optimize feed formulation and monitor flock health. The platform uses machine learning to predict nutritional needs, reduce waste, and improve growth rates. It integrates sensor data and farm management tools to support data‑driven decision making in the poultry industry.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional laboratory testing of feedstuff, crops, and seeds for nutrient composition is time-consuming and expensive, leading to over-formulation of diets for livestock. This inefficiency results in increased nitrogen emissions and reduced sustainability in agriculture.
Solution
Aikemy provides a portable Near-Infrared (NIR) sensor technology, the Pocket Lab, that enables real-time analysis of nutrient composition in feedstuff, crops, and seeds. The device allows farmers, nutritionists, and researchers to quickly measure protein, fat, sugar, moisture, fiber, and ash content. The sensor integrates with a mobile application and cloud analytics to provide nutrient composition results and, in the future, will offer diet formulations with nature-based feed additives. By providing on-the-spot analysis, Aikemy facilitates more precise diet formulation, reduces waste, and minimizes environmental impact.
Target Audience
The primary customers are farmers, animal nutritionists, and agricultural researchers seeking real-time nutrient analysis for precise diet formulation and improved sustainability.
Features
- Portable NIR sensor for rapid scanning of feedstuff, crops, and seeds
- Measures key nutrient compositions: protein, fat, sugar, moisture, fiber, and ash
- Compatible with corn, wheat, soybean meal, distillers grains, and poultry feed
- Mobile application for instant results display
- Cloud-based analytics for data tracking and diet formulation
- Technology offsets nitrogen emissions by an estimated 13-40%
- Potential applications in pesticide and fertilizer residual detection, as well as counterfeit medicine detection