Autonomous Human Intelligence

We are not building the world's average brain. We are creating yours.

A personalized Digital Brain that learns your intent, honors your values, and acts with your judgment. Privacy by design. Your data always remains yours.

The AHI Manifesto

Where Intelligence
Becomes Human.

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.

This is not artificial intelligence.
This is Autonomous Human Intelligence.

Your AHI brain speaks in your voice. It understands your goals, aligns with your ethics, and mirrors your decision-making. It helps you think faster, decide smarter, and live freer.

Because real intelligence isn't about computation—it's about connection. It's about empathy, understanding, and the human context in which every decision is made.

AHI doesn't replace you. It amplifies you—helping you spot biases, overcome limits, and accelerate growth. It's your judgment—enhanced. Your creativity—expanded. Your time—reclaimed.

Our mission is simple, yet revolutionary: to give every human being a digital brain that truly knows them. That learns faster, adapts deeper, and empowers life itself.

AHI.
Your mind—evolved.

Agostino Sibillo, PhD — Founder
Research Network
30
Global universities in our applied research network — peer-reviewed validation before market launch.
Patents
2
Issued U.S. patent families forming the proprietary foundation of our multimodal stack.
Infrastructure
DLC
Direct liquid-cooled Texas data center — purpose-built for real-time emotional inference.
Market
$770B
Global affective computing & emotion-aware AI market by 2032.
The Product

The Digital Brain.

A personalized AI model that learns—with consent—how you communicate, what you prefer, what you value, and how you make decisions.

Unlike generic language models focused on task completion and information retrieval, AHI creates adaptive, personalized intelligences that understand the emotional context of every interaction.

Your judgment, enhanced. Your creativity, expanded. Your time, reclaimed.

01 — Persistent

Memory that never resets.

Preferences, relationships, patterns, and goals accumulate continuously, consented, compounding with every interaction.

02 — Portable

Travels with you.

Your Digital Brain works across apps, devices, and vendors. No platform lock-in. The service queries your Brain.

03 — Private

Owned by you.

Access granted under license, not surrender. Privacy by design, sovereignty by architecture.

Architecture

How the Brain thinks.

A continuous loop powered by our proprietary Inferred Intent Engine — multimodal pipeline fusing voice, text, video, and physiological signals.

01

Capture

Continuous, consent-based ingestion of voice, micro-expressions, choice patterns, context.

02

Infer

The Inferred Intent Engine detects hesitation, hedging, commitment, engagement.

03

Reason

Query-time personalization grounded in your unique ethics and decision-making.

04

Act

Licensed API access: partners invoke the Brain — and pay the Brain Tax on every match.

The Market

The Neural Economy.

A new layer of the internet where personalized Digital Brains represent people and organizations — matching them to jobs, customers, partners, services, and solutions based on real intent.

The Digital Brain is the product. The Neural Economy is the market it creates.

Today — the old web
×
Targeting by age, zip, cookiesProxies for real need
×
~98% of impressions ignoredAttention burned, trust eroded
×
Value accrues to platformsNot to the user, not to the advertiser
AHI — the Neural Economy
Match on real stateEmotion, feeling, psychological context
The user isn't targeted — the Brain is queriedUnder the user's consent and rules
Zero-waste commerceEvery match relevant, consented, monetized

An advertiser no longer hunts customers.
The Brain identifies who is ready—and AHI collects the Brain Tax on the match.

Technology

The full stack.

A multimodal AI platform purpose-built for real-time emotional inference at scale. Every layer, from silicon to API, engineered for per-user economics.

Layer 05
The Intent Marketplace
Permissioned matching: recruiting, commerce, relationships
API · SDK · Webhooks
Layer 04
Digital Brain
Personalized AI model — one per user, consent-based learning
Representational Learning
Layer 03
Inferred Intent Engine
Multimodal fusion — voice, text, video, physiological signals
Proprietary IP
Layer 02
Emotional Intelligence Core
Nuanced state detection — hesitation, hedging, commitment
Peer-Reviewed Models
Layer 01
Sovereign Infrastructure
Dedicated Texas data center · Direct liquid-cooled GPU pods
NVIDIA · Dedicated
Business Model
The Brain Tax

A B2B2C licensing model where businesses pay to access each user's Digital Brain — with that user's permission. Simple economics. Compounding revenue. Decoupled from compute cost.

Detailed economics in the investor data room
  • 01Platform Brain TaxEmbedded in enterprise SaaS — CRM, HR, support, salesB2B2C
    Per-user licensing
  • 02Direct Enterprise SeatsInsurance, healthcare, contact centers, high-touch verticalsEnterprise
    ARR model
  • 03Outcome Matching FeesQualified leads — recruiting, sales, commerce matchingPer match
    High margin
  • 04Premium API & SubscriptionsHigh-reasoning actions, enterprise-grade brainsTiered
    Recurring
For Investors

Access our data room.

Qualified investors can request access to our full investment materials — including business plan, financial projections, capital structure, and infrastructure roadmap.

  • 01
    Business PlanStrategic thesis, product roadmap, go-to-market strategy
  • 02
    Financial ModelMulti-year projections, unit economics, scenario analysis
  • 03
    Infrastructure & OperationsCompute architecture, data center, team and hiring plan
  • 04
    Capital StructureCap table, subsidiary structure, term sheet
  • 05
    Market & IPCompetitive landscape, patent portfolio, defensibility
  • 06
    Research NetworkUniversity partnerships and peer-review pipeline
Typical response · 24 hours

Request secured access

Access is granted individually to qualified investors after brief verification. You'll receive a secure link with analytics and time-limited credentials.

Data Room Access

Request access to the AHI investor materials.

Your request will be reviewed within 24 hours. You'll receive a secure, time-limited link with view analytics.

Brain Trust

A coalition of science, engineering, and sovereign law.

AHI is built alongside leading computer scientists, neurologists, legal scholars, and AI researchers across Stanford, MIT, UCL, Sant'Anna, ANVUR, Federico II, Calabria, Queen's, Campus Bio-Medico, and beyond.

Agostino Sibillo
Founder · CEO · Chief Scientist

Agostino Sibillo, PhD

Italian-American computer scientist, inventor, and lawyer

Founder & CEO of AHI Corp. Dual PhDs in Software Engineering and Finance/Law. Architect of the proprietary Emotional AI stack. Inventor of two issued U.S. patent families — US9,940,477 (augmented reality geolocation) and US11,671,407B2 (laser-based data transmission). Co-author with Prof. Walter Ricciardi of "Public Health and AI: Health Neural Network" (Springer/Nature, 2023; PMID: 37407811). Plenary speaker at the 17th World Congress on Public Health (Rome, 2023). Listed in Marquis Who's Who in America. Two decades building AI and computer vision companies.

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Antonio Felice Uricchio
Strategic Governance

Prof. Antonio Felice Uricchio

President, ANVUR · Former Rector, University of Bari

President of ANVUR's Governing Board since January 2020, appointed by Decree of the President of the Republic. Full Professor of Tax Law. Former Rector of the University of Bari "Aldo Moro" (2013–2019), where he modernized and internationalized the institution. President of the Regional University Coordination Committee (CURC) of Puglia. International teaching at universities in Argentina, Spain, Poland, and Albania.

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Eugenio Guglielmelli
Biomedical Robotics

Prof. Eugenio Guglielmelli

Pro-Rector for Research, Campus Bio-Medico · Human Brain Project

Full Professor of Industrial Bioengineering at Campus Bio-Medico University of Rome, where he has served as Pro-Rector for Research since 2013. Directs the Laboratory of Biomedical Robotics and Bio-micro Systems. Member of the Steering Committee of the FET Flagship Human Brain Project since 2016. PhD in Electronic Engineering (biomedical robotics) from the University of Pisa.

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Mario Caligiuri
Intelligence Studies

Prof. Mario Caligiuri

President, Italian Intelligence Society · University of Calabria

Full Professor of Pedagogy of Communication at the Università della Calabria, where he directs the Master in Intelligence and the Intelligence Laboratory. 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 of the Republic Francesco Cossiga.

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Claudio Caldarola
AI Law & Ethics

Claudio Caldarola

President, Global Professionals for AI (GP4AI)

Lawyer specializing in IT Law and Artificial Intelligence. Founder (2018) and President of GP4AI — Global Professionals for Artificial Intelligence. National PhD student in AI at Campus Bio-Medico University of Rome. Member of the international CIASU Study Group on Artificial Intelligence and Legal Systems. Frequent guest on television programs and interviewed by newspapers for expertise in AI.

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Marco Conti
National AI Research

Prof. Marco Conti

Scientific Head, CNR National Doctorate in AI

Scientific head of the CNR project for Italy's national doctorate qualification in Artificial Intelligence. Founder (2005) and Editor-in-Chief for special issues of Pervasive and Mobile Computing (Elsevier). Founder (2016) and Editor-in-Chief of Online Social Networks and Media (Elsevier). Member of the Strategic Committee and Board of Directors of EURid, the company that manages the .eu domain registry.

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Carlo Sansone
AI Laboratories

Prof. Carlo Sansone

Director, CINI National Lab of AI and Intelligent Systems

Full Professor of Computer Engineering at the University of Naples Federico II. Director of the National Laboratory of Artificial Intelligence and Intelligent Systems (AIIS) of CINI for the 2024–2027 term. Research areas include machine learning, deep learning, image analysis, pattern recognition, image forensics, and network intrusion detection.

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Gianluigi Greco
Multi-Agent Systems

Prof. Gianluigi Greco

EurAI Fellow · University of Calabria

Full Professor of Computer Science at the University of Calabria and Director of the Department of Mathematics and Computer Science since 2018. EurAI Fellow — the most prestigious honor bestowed by the European Association for AI. IJCAI Distinguished Paper Award (2018). Associate Editor of the Artificial Intelligence Journal. Research on knowledge representation, multi-agent systems, and fairness in AI decision-making.

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Nicola Vitiello
Wearable Robotics

Prof. Nicola Vitiello

Rector-Elect, Scuola Superiore Sant'Anna (2025–2031)

Rector-elect of Scuola Superiore Sant'Anna in Pisa for 2025–2031. Associate Professor at the BioRobotics Institute, where he leads the Wearable Robotics Laboratory. Co-author of over 80 ISI/Scopus-indexed publications and co-inventor of more than 20 patents. Co-founder, Director and Scientific Advisor of IUVO S.r.l., a Sant'Anna spin-off.

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Wei Huang
Technology Lead

Wei Huang, PhD

Senior AI Algorithm Engineer · USI Lugano / Oxford

PhD in Computational Science (Machine Learning & Computational Mathematics) from Università della Svizzera italiana (USI), 2024. Visiting PhD Researcher at the Institute for AI, University of Oxford (2023–2024), host Prof. Michael Bronstein. Co-author of "Transferability of Spectral Graph Convolutional Neural Networks" (JMLR, 2021). Currently Senior AI Algorithm Engineer at Skyverse Technology developing physics-based ML for semiconductor metrology.

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Renzo Phellan Aro
AI Research Lead

Renzo Phellan Aro, PhD

Postdoctoral Fellow, Queen's University

Postdoctoral Research Fellow at Queen's University in Canada, conducting research in AI applied to biomedical data and intelligent systems for predictive analytics. Previously postdoc at McGill University and École de Technologie Supérieure (ÉTS) Montréal. PhD in Biomedical Engineering from the University of Calgary. M.Sc. from UNICAMP, Brazil. Active collaborator across Canada, Latin America, and Europe.

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Lorenzo Bucci
Applied Deep Learning

Lorenzo Bucci

Deep Learning Researcher · Ex-Theranova

Deep learning researcher and entrepreneur specializing in AI systems for real-world deployment across healthcare, IIoT, and consumer applications. Principal Data Scientist at Theranova, where he led ML research for next-generation catheter guidance, neonatal feeding-tube analytics, and ICU time-series modeling. Co-author of "Transferability of Spectral Graph Convolutional Neural Networks" (JMLR, 2021) and publications in Scientific Reports on real-time clinical tube placement.

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WL
AI Integration & Platform

Wayne Li (李忠伟)

Software Engineer · Metrology & AI Platform

Software engineer with 3+ years building AI-integrated systems in IoT and precision semiconductor manufacturing. M.S. in Artificial Intelligence from Nanjing University of Information Science & Technology, with peer-reviewed publications in ML/NLP and Blockchain. Currently at SEMI · Zhongke Feitesting, leading AI Mark Recognition integration and Physics-Based ML tools deployed across tier-1 Chinese fabs. Red Hat RHCE Certified Engineer.

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GE
ML Research · Biomedicine

Giulia Evangelisti

MSc AI for Biomedicine · UCL London

Machine learning researcher pursuing an MSc in AI for Biomedicine and Healthcare at University College London, with thesis on Gene Ontology prediction using Qwen3 LLM fine-tuning. ML Researcher at Polytechnic University of Marche on EHR datasets for nephropathy prediction in diabetic patients. A*STAR Singapore SIPGA award recipient (2021). Former software engineer at Intesa Sanpaolo on the IsyBank platform and Open Reply Rome.

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Contact

Let's build the Neural Economy.

Headquarters
San Francisco, California455 Market Street, Suite 1940
San Francisco, CA 94105
California, United States of America
Operations Office
Riverside, California11801 Pierce Street, Suite 200
Riverside, CA 92505
California, United States of America
Corporate
Autonomous Human Intelligence Corp.Incorporated in California · Backed by NGE Fund
Subsidiary: AHI Data Infrastructure Inc. (AHIDI)
For
Strategic Partners · Press · Research Collaborators