OROBIX
Luca Antiga is an experienced technology leader currently serving as Chief Technology Officer and VP of Engineering at Lightning AI since April 2021. Concurrently, Luca holds the roles of CTO, CEO, and Cofounder and Principal Scientist at OROBIX Srl, where involvement began in July 2009. Previously, Luca was the Chief Executive Officer at Tensorwerk Inc. from April 2019 to February 2022. Earlier in a career in medical research, Luca led the Medical Imaging Unit at the Mario Negri Institute from January 2004 to May 2011 and worked as a researcher. Initial academic training includes a PhD in Biomedical Engineering and an MSc in Biomedical Engineering, both obtained from Politecnico di Milano. Additional education includes studies at Università degli Studi di Brescia.
OROBIX
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At Oròbix, we implement and manage the lifecycle of artificial intelligence solutions. They can be newly designed or integrated into existing systems, spanning a wide range of industries from healthcare to manufacturing, from gaming to energy. We offer this service through Invariant.ai, our deployment, monitoring and governance platform for AIsystems. Invariant.ai® can reduce the time to value (TTV) of AI systems, maximize ROI, and guarantee conformity and reliability in all business contexts that involve artificial intelligence. As an AI service company, we can accompany our clients throughout the entire AI lifecycle, end-to-end, from problem set-up to deployment and monitoring in production. We have learned from our extensive experience that this integrated approach ensures optimized timelines and a quick return on investment (ROI). We use data to decipher reality, turn its complexity into new operational knowledge and technological solutions. In 10 years working in the field and completing over 100 projects, we have designed AI-based solutions for our clients that allowed them to streamline QC operations on manufacturing lines, provide support for medical diagnoses, and optimize production processes. Our team of data scientists monitors the behavior of AI systems in real time through monitoring algorithms that assess reliability, safety and security during pre-deployment auditing as well as in process. Our clients can thus use AI in a way that is safe, reliable and constantly monitored, and fully leverage the potential of their data.