by Eugenia Moris | Aug 14, 2025 | AI, Healthcare, Innovation, Innovation in Healthcare
One of the challenges I often face when working with AI models today is understanding how the data used for training can introduce unintended biases. We tend to think that a good split between training, validation, and test sets is enough to ensure our model will...
by Isadora Monteiro | Jul 31, 2025 | AI, AI Strategy & Implementation, Future, Healthcare, Innovation, Innovation in Healthcare
At Arionkoder, we believe innovation in life sciences isn’t just about bold theories. It’s about solving the quiet, overlooked bottlenecks that slow researchers down. That belief led us to co-create Titra, an AI-powered tool that automates the counting and measurement...
by Juan Pablo Vargas | Jul 17, 2025 | AI, AI Agents, Innovation
As you may have read in our previous article, at Arionkoder we have reinvented our approach to innovation through The Forge. Traditional hackathons are a thing of the past; we now run short, well‑defined challenges that allow us to: Tackle real customer or internal...
by Liz Luciano | Jul 3, 2025 | AI, AI Agents, Future, Innovation, Product Design & Development
In a world where usefulness is often confused with worth, we’ve built systems, intentionally or not, that ignore those who no longer fit our definition of “productive.” As someone who has experienced what it’s like to be judged for perceived usefulness, I...
by Isadora Monteiro and Juan Pablo Vargas | Jun 25, 2025 | AI, AI Agents, AI Strategy & Implementation, Innovation
The Dark Side of Cutting Corners There are 4 levels of risk according to the EU AI act: minimal, limited, high and unacceptable (Consillium, 2025). Minimal level refers to the majority of AI systems which do not pose a threat on users and therefore will not be...
