Pioneering thought leadership and action with global teams on the use of AI and IIoT technologies
Aizon Innovation Lab
Recent articles and collaborations with leading entities & individuals
Continuously expanding the current state-of-the-art of AI and other advanced analytics technologies
Pharma 4.0 providers and enablers that enhance patient safety and product quality for our customers
Driving Thought Leadership to Commercial Success
Innovation labs — also known as hubs, incubators, or accelerators — are business units that employ the methods of agile startups, with the goal of devising novel ideas that can either disrupt or complement the overall company. It is a unit that is typically tasked with coming up with new ideas, executing them, and iterating until such idea is fully executed or integrated into the business.
Aizon’s Innovation Lab’s value proposal can be summarized in two key premises:
- All initiatives must be oriented to maximize the AI & GxP status quo, providing added value to the market and patients.
- Lab initiatives must be validated with the expert community in order to be proposed as part of the company’s portfolio.
We serve our customers to bring safe, high quality and effective drugs to patients.
Inspiration, vision, creativity and imagination are the forces guiding everything we do at Aizon’s Innovation Lab, but also hard work and scientific approach for analysis and rigor to drive conclusions. It is a collaborative space which aims to spin off its most promising proof of concept pilots and embed those into Aizon’s platform and product line.
Access our recent articles and collaborations with leading entities and individuals within the Pharma and AI spaces.
Empowering SMEs through 4IR Technologies – Artificial Intelligence
The United Nations Industrial Development Organization (UNIDO) released a technical paper entitled 『Empowering SMEs through 4IR Technologies – Artificial Intelligence...
CPV-enabled Refinement of Biotechnological Manufacturing Recipe
Collaborating with leading entities in a pioneering project with the aim to apply advanced analytics and AI to support decision-making while maintaining regulatory compliance...
AI’s Promise for ATMPS
Industry 4.0 applications in biopharma involve the complete spectrum of data science throughout the entire product life cycle of many disparate entity types. Tools such as digitalization, modern data science, and the industrial internet of things (IIoT) exist now...
Measuring Pharma’s Adoption of Industry 4.0
With the rise of new technologies and predictive analytics capable of handling the huge amounts of data within and across existing information systems, Industry 4.0 has been thriving in many sectors, such as industrial automation, financial technology, retail, and semiconductors...
AI Algorithm Qualification
Quality is defined by the American Society for Quality (ASQ) as ″the totality of features and characteristics of a product or service that bears on its ability to satisfy given needs″. Therefore, quality is applicable to processes ...
AI in Action for Manufacturing Process Improvement
The Xavier AIO (AI in Operations) Working Team is an organized, cross-industry discussion group of FDA officials and industry professionals working to increase the predictive assurance of product quality across all operations through the power of artificial intelligence...