AINIA / AINIA digital
Ainia digital
We drive the digital transformation of the industry with advanced technological solutions, tailored to the needs of each organization.
From process automation to Artificial Intelligence and Big Data, we help improve efficiency, reduce costs and waste, ensuring maximum quality and safety, and boosting competitiveness in an increasingly demanding market. Turn digital technology into your best ally to grow and lead.
Food safety data analysis system with a computerized dashboard to analyze the evolution of food safety data and indicators of the company.
Software solution to streamline the processes associated with new product development, optimizing the steps from…
Agri-food software that traces and analyzes the production process of a product to improve its quality through predictive modeling.
Solution for the inspection of samples at reception to automate the quality control of suppliers through artificial vision, generating a report with objective information of the lot.
Tailor-made solution based on Artificial Vision and Deep Learning for the control of complex processes in the industrial…
Online food safety and quality control solution using near-infrared hyperspectral vision with software that analyzes the spectral signature of food products….
Solution for real-time product analysis and characterization in production by means of NIR spectroscopy and Machine Learning…
Patented solution that uses thermography and artificial intelligence to identify imperfections in the weld seam of plastic containers, whether visible or not….
In an environment where innovation is key to staying competitive, companies face critical challenges…
Food companies are exposed to food risks linked to the quality of their products….
In an increasingly digital environment, players in the agri-food sector need to…
Our advanced remote sensing solution designed for agri-food farms…
Advanced imaging technology, AI and collaborative robotics in the service of precision medicine
Advanced technologies that improve process efficiency, safety and sustainability.
Traditional visual inspections are slow and error-prone. Detecting defects and contaminants with the naked eye is not always effective.
Machine vision and photonics enable real-time quality inspections without contact with the product. Structural defects, contaminations and production variations can be detected in an automated manner.
Traditional chemical analysis requires sampling and laboratory time, which delays decision making.
Spectroscopy allows the chemical composition of products to be analyzed in real time without the need for sample destruction. It facilitates the detection of fraud, contamination and formulation variations.
Process automation is key to improving efficiency, reducing errors and minimizing operating costs.
The use of robots and drones makes it possible to perform repetitive tasks with high precision, such as crop inspection, quality control in production and automated product handling.
Companies generate large volumes of data that are not always used for decision making.
AI algorithms analyze data in real time, detect hidden patterns and enable decisions based on predictions. This improves operational efficiency, reduces waste and optimizes product quality.
Companies need to process large volumes of information efficiently to improve quality and safety management.
Big data platforms collect and analyze data in real time, making it possible to detect trends, optimize production and improve strategic decision making.
The food industry faces the challenge of ensuring product safety, traceability and quality in a context of stringent regulations, changing consumer demand and the need to reduce waste throughout the value chain.
The agricultural sector must optimize the use of resources such as water and fertilizers, improve production efficiency and anticipate risks such as pests and diseases, all in a scenario of climate change and growing demand for sustainability.
The cosmetics industry needs to innovate in safe and sustainable formulations, ensure the quality and authenticity of ingredients, and adapt to a market that demands customized and environmentally friendly products.
The healthcare sector faces the challenge of improving the early detection of diseases, optimizing the development of personalized treatments and ensuring the safety and efficacy of pharmaceutical products in a highly regulated environment.
Advanced analysis for food safety
Spectroscopy technology applied to the rapid and non-destructive detection of contaminants and fraud in food, improving safety and traceability.
Intelligent prevention of microbiological risks
Platform based on AI and big data that allows to anticipate the appearance of pathogens in the food production chain, minimizing health risks.
Optimization and digitization of production
Implementation of digital solutions to improve operational efficiency, quality and sustainability in snack production processes.
Artificial intelligence applied to agriculture
Advanced vision and data analysis system for crop optimization, enabling more efficient resource management and more sustainable production.
Intelligent and sustainable agriculture
Digital technologies to improve agricultural productivity through the use of sensors, drones and AI, optimizing irrigation and fertilization.
Innovation in the development of new foods
Use of artificial intelligence for the creation and optimization of food formulations, accelerating innovation in healthier and more sustainable products.
In AINIA digital we are able to...
Carlos Fernandez
Business Development
Carlos Fernandez
Business Development
Responsible
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