We Are Visionaries
At QAI, we believe artificial intelligence should be a force for good without destroying the planet
QAI is developing the world’s first quantum-powered, solar-driven AI architecture—a system engineered to deliver exponential efficiency while reducing the massive energy cost behind today’s AI..
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The artificial intelligence revolution is hitting a wall.
The "Scale at All Costs" model championed by OpenAI, Anthropic, and xAI is environmentally catastrophic and economically unsustainable.
Their path requires building data centers the size of cities, consuming energy equivalent to entire countries, and resorting to power sources like nuclear reactors.
QAI is creating a Serene Alternative.
We are developing a new class of supercomputers that leverage quantum computing principles to deliver unparalleled computational power while using a fraction of the energy.
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The Problem – AI’s Energy Burden
A SINGLE AI QUERY CAN USE 10X THE ENERGY OF A GOOGLE SEARCH. PROJECTS LIKE STARTGATE AIM TO CONSUME AS MUCH POWER AS 2.5 NEW YORK CITIES
Data centers rely on energy-intensive GPUs, cooled by millions of liters of water, and depend on rare minerals extracted from unstable regions.
Dozens of nuclear power plants are planned to power the Stargate Project and they will be placed in working and middle-class communities; not in Silicon Valley or Wall Street.
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The Q/A/I Solution – Quantum + Solar Efficiency
A QUANTUM-BASED AI SYSTEM DESIGNED TO COMPETE WITH THE IDUSTRY LEADERS WHILE USING ONLY 5% OF THE ENERGY, POWERED ENTIRELY BY SOLAR POWER
This architecture exchanges raw energy consumption for quantum precision—performing complex learning tasks with a fraction of the resources.
QAI’s technology uses photonic methods to enable quantum computations and algorithms at room temperature, using 5% of the energy, for 20 X the computation on massive, but narrow data sets including MedTech.
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Real-World Application – MedTech First
POWERING THE NEXT GENERATION OF MEDICAL BREAKTHROUGHS
1. Accelerate Drug Discovery: Simulate molecular interactions to design treatments for diseases like cancer and Alzheimer's in months, not decades.
2. Enable Hyper-Accurate Diagnostics: Interpret MRIs, EKGs, and X-rays with superhuman accuracy, identifying early-stage diseases that are easily missed.
3. Pioneer Personalized Medicine: Analyze genetic data to create tailored treatment plans and unlock cures for genetic disorders.
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Hope A. Getu
Sr Quantum Engineer & ML Researcher
About
Hope's passion is bridging the gap between theoretical quantum computing and tangible scientific discoveries in AI. Her work with She Code Africa and Quantum Africa are a product of her passion for showing the world that Africa can be on the cutting edge of scientific breakthroughs.
Why I chose QAI
I believe QAI's technology has the ability to make AI powerful enough to compute to solve critical MedTech, FinTech, and climate problems, and energy efficient enough to be powered by solar.
Previous Experience
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Sana Cheema
AI Scientist
About
Sana Cheema is a machine learning developer specializing in generative AI, medical imaging, and autonomous diagnostic systems. With 20+ publications and real-world deployments in AI-driven healthcare, sustainable automation, and enterprise LLM solutions, her mission is to build intelligent systems that are accessible, ethical, and energy-efficient.
Why I chose QAI
I joined QAI because I believe the future of artificial intelligence must be powerful, ethical, and sustainable. QAI is the first initiative that aligns with my vision of building quantum-enhanced AI systems that operate on minimal energy, run on solar power, and empower a global community, especially women, to lead the next evolution of computing.
Previous Experience
Johanna Fleischman
Solar Project Lead
About
A NABCEP-certified solar engineer with a degree in Renewable Energy Engineering, designing the practical, sustainable solar infrastructure that will power our operations. Johanna has five
years of experience designing residential, commercial, and off-grid solar projects.
Why I chose QAI
I live, eat, and breathe solar, and am concerned about AI bringing back nukes to power their massive data centers. When I heard QAI's wants to power their entire operation with solar I was excited to be part of their mission.
Previous Experience
Estafani Morales
SAAS Director
About
At Oracle, I was in charge of Educative and Change Management services for Mexico with billings to clients of $150M. I worked my way up for five years and loved the experience and expertise gained from working for one of the most respected SAAS companies in the world.
Why I chose QAI
I am excited about the possibility of licensing QAI’s quantum-AI technology to the Fortune 100 companies who can benefit from speed of light computing powered by solar.
Previous Experience
Fabrizio Sorba
Theoretical Physicists & CEO
About
I have a PhD. In physics from the Karlsruher Instit fur Technologie in Physics, a deep background in advanced mathematics, the ability to solved complex scientific problems in physics, coding, Machine Learning, quantum physics, LLMs, and AI.
Why I chose QAI
QAI is the first company where I can combine all my expertise in one place and also develop technology that is not only breath-taking, but humane and sustainable for the people it will affect and the planet we all live on.
Previous Experience
Humayun Irshad
AI, Machine Learning, & MedTech Lead
About
Humayun Irshad is an accomplished AI leader and researcher with over 15 years of experience at the intersection of machine learning, computer vision, and healthcare innovation. He holds a PhD in Computer Science and completed his postdoctoral training at Harvard Medical School.
Why I chose QAI
I joined QAI because I believe in the transformative power of AI to solve real-world problems at scale. QAI’s vision to build an AI agent capable of managing the caseload of 10,000 physicians is ambitious, meaningful, and exactly the kind of challenge that excites me.
Previous Experience
INVEST ON WEFUNDER
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Join us in building the future of intelligence
Partner. Invest. Develop.
Beyond Scale: The Next Revolution in AI Power
Proprietary Serene Technology
The Quantum Problem: Today's quantum computers face a trade-off. Adding more qubits for power introduces catastrophic errors, preventing them from reliably outperforming classical supercomputers.
The Serene Solution: Our technology has been proven through 100 million+ simulations to scale qubit counts to supremacy-level magnitudes while maintaining computational integrity.
Our Hardware Goal: The Serene Quantum Chip (SQC). We are engineering this chip to operate at room temperature, eliminating the need for the massive, energy-intensive cryogenic systems used by competitors. This makes our technology fundamentally cheaper and more scalable.
Our Roadmap To Dominance
2025: Finalize SQC design and assemble core engineering team.
2026: Build the first room-temperature SQC, scale to 1,000 stable qubits, and run our first "critical" calculation—solving a problem intractable for classical computers.
2027: Achieve computational power on par with leading AI companies using our network of ultra-efficient, solar-powered data centers.
Because the future of intelligence isn’t brute force — it’s efficiency.
The Future Application of the Technology
This is just the beginning. The underlying technology can be applied to logistics, finance, and materials science, positioning us in a $1.8 trillion+ market.
Once commercialized, QAI has the potential to become the sustainable backbone of global AI infrastructure — replacing the “scale-at-all-costs” paradigm with one based on efficiency, integrity, and ecological alignment.
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