We're building the Digital Brain — a persistent, personalized AI that learns with you, remembers for you, and acts on your behalf.
AI can speak like us. It can imitate tone, cadence, even emotion. But beneath the illusion, today's AI is still just a mirror — reflecting the internet, not the individual. It's built on billions of words, but it doesn't know you. It predicts the next token, not the next thought.
AHI changes that. We're building something profoundly different — not the world's average brain, but your brain, digitized, augmented, and autonomous.
In collaboration with universities, global institutions, psychologists, neurologists, and computer scientists, we're creating a personalized digital brain: a system that learns your intent, honors your values, and acts with your judgment.
AHI learns directly from you — your voice, your micro-expressions, your choices, your context. Every subtle cue that makes you unique. And it does so with privacy by design, so your data always remains yours.
AHI doesn't replace you. It amplifies you — helping you spot biases, overcome limits, and accelerate growth. Your judgment, enhanced. Your creativity, expanded. Your time, reclaimed.
This is not artificial intelligence.
This is Autonomous Human Intelligence.
A persistent, private intelligence model owned by the individual. It absorbs context continuously, reasons across time, and acts on behalf of its owner inside any third-party product.
Preferences, relationships, patterns, and goals accumulate into a personal representation — continuously, consented, and compounding with every interaction.
Your Digital Brain works across apps, devices, and vendors. No platform lock-in. Your intelligence isn't captured by the service — the service queries your Brain.
Access is granted under license, not surrender. Privacy by design, sovereignty by architecture. The only AI layer that works for you, not on you.
A continuous loop of capture, encoding, reasoning, and action — grounded in your consent and your context.
Continuous, consented ingestion of your digital signals — messages, documents, voice, context.
Compressed into a personal representation: preferences, relationships, patterns, goals, values.
Query-time personalization. Every response is grounded in your own context, not a generic average.
Licensed access via API: partners invoke the Brain to serve you — and pay to do so.
When the Brain knows how you actually feel, advertising stops being a guess — and becomes a match.
A B2B2C model. AHI owns the infrastructure. Users own their Digital Brain. Businesses pay to access it — per query, per seat, per outcome.
Hosts the Digital Brain
Owns the Brain, grants access
Apps, enterprises, agents
Usage-based revenue to AHI
AHI Data Infrastructure Inc. (AHIDI) is our sovereign compute subsidiary — a dedicated GPU cluster purpose-built to train, host, and serve billions of Digital Brains at per-user economics.
AHI is built with leading computer scientists, neurologists, legal scholars, and AI researchers across MIT, Stanford, Sant'Anna, Cambridge, McGill, and beyond.
Founder & CEO of AHI Corp and Co-Founder of Nexum Lab. PhD in Software Engineering; two decades at the foundation of cloud infrastructure and AI. Inventor of two issued U.S. patent families — augmented reality geolocation encryption (US9,940,477) and laser-based secure data transmission (US11,671,407B2). Co-author of "Public Health and AI: Health Neural Network" with Prof. Walter Ricciardi (Springer/Nature, 2023; PMID: 37407811). Plenary speaker at the 17th World Congress on Public Health (Rome, 2023, 3,000+ delegates) and the 57th National SItI Congress (Palermo, 2024). Listed in Marquis Who's Who in America. Featured on Amazon Prime's Advancements with Ted Danson. Currently building the Digital Brain and the Neural Economy.
President of ANVUR's Governing Board since 2020, appointed by Decree of the President of the Republic. Full Professor of Tax Law at the University of Bari "Aldo Moro" (on leave). Former Rector of the University of Bari (2013–2019), where he led modernization and internationalization. Has lectured in Argentina, Spain, Poland, and Albania, and taught in postgraduate programs at Bocconi, Università Cattolica, and the University of Bologna.
Full Professor of Pedagogy of Communication at the Università della Calabria and President of the Società Italiana di Intelligence since 2018. Launched the first Master in Intelligence in a public Italian university in 2007, at the request of former President Francesco Cossiga. Research spans intelligence theory, public communication, disinformation society, and the intersection of intelligence, democracy, security, and law.
Directs the Laboratory of Biomedical Robotics and Bio-micro systems at Campus Bio-Medico, where he has been Pro-Rector for Research since 2013. PhD in Electronic Engineering (biomedical robotics) from the University of Pisa. Coordinator of the EU FP7 EVRYON project; currently leads INAIL-funded research on prostheses. Founding member of the editorial board of the International Journal of Applied Bionics and Biomechanics.
Founder and President of GP4AI — Global Professionals for Artificial Intelligence. National PhD candidate in Artificial Intelligence at Campus Bio-Medico University of Rome. Member of the international CIASU Study Group on AI and Legal Systems. Teaches and provides professional training in law-related master's programs at universities and S.p.A. corporations. Frequent commentator for television and print press on AI.
Founder and Editor-in-Chief of Online Social Networks and Media (Elsevier). Previously Editor-in-Chief of Computer Communications (2009–2018). Founded Pervasive and Mobile Computing (Elsevier) in 2005. Scientific head of the CNR project for Italy's national doctorate qualification in Artificial Intelligence. Board member of EURid (the .eu domain registry operator for the European Commission) and START 4.0.
Director of AI at Spychatter and Spacenet; Principal Data Scientist at Theranova, where he led ML for next-generation catheter guidance, neonatal feeding-tube analytics, and ICU time-series modeling. Founder of GolfVision.ai. Co-author in the Journal of Machine Learning Research ("Transferability of Spectral Graph Convolutional Neural Networks," 2021) and NeurIPS 2019. Published in Scientific Reports on real-time clinical tube placement.
Full Professor of Computer Engineering at the University of Naples Federico II. Director of the CINI National Laboratory of AI and Intelligent Systems (AIIS) for the 2024–2027 term. Former President of the University IT Services Center. Research in machine learning, deep learning, image analysis, pattern recognition, image forensics, and network intrusion detection.
Director of the Department of Mathematics and Computer Science at the University of Calabria since 2018. EurAI Fellow — the most prestigious honor bestowed by the European Association for AI. Recipient of the IJCAI Distinguished Paper Award (2018) and the IJCAI–JAIR Best Paper Award (2008). Associate Editor of the Artificial Intelligence Journal. Research spans knowledge representation, multi-agent coordination, and fairness in AI decision-making.
Rector of the Scuola Superiore Sant'Anna in Pisa for the 2025–2031 term. Associate Professor at the BioRobotics Institute, where he leads the Wearable Robotics Laboratory. Co-author of over 80 ISI/Scopus-indexed scientific publications and co-inventor of more than 20 patents. Scientific Coordinator of the EU H2020 CYBERLEGs Plus Plus project and the national INAIL-funded MOTU project. Co-founder and scientific advisor of IUVO S.r.l.
Professor in the Department of Mechanical Engineering at Stanford University since 2019. PhD in Nuclear Engineering from MIT (2001). Lawrence Postdoctoral Fellow at Lawrence Livermore National Laboratory (2001–2004). Recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), NSF Career Award, AFOSR Young Investigator Award, and the ASME Applied Mechanics Division Hughes Young Investigator Award. Research on multiscale materials modeling and quantum simulations of electronic structure.
Postdoctoral research fellow at Queen's University, Canada. Previously at McGill University and the École de Technologie Supérieure (ÉTS) in Montréal. PhD in Biomedical Engineering from the University of Calgary. MSc in Computer Science from UNICAMP (Brazil). BSc in Computer Engineering from the Pontifical Catholic University of Peru. Research on machine learning for physiological signals, computer-assisted diagnostics, and deep neural networks for computational biomedicine.
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