Why Did I Found Quando?

Some companies begin with a market opportunity. Others begin with technology. Quando began with a long personal journey, a growing sense of discomfort with how things are done today, and a conviction that a new computational paradigm—Quantum AI—will redefine how organizations create value.

For more than two decades, quantum computing has been quietly evolving. Long before it started appearing in headlines or strategy decks, it was already the subject of deep scientific work in universities and research labs. I had a unique window into that world because one of my brothers has been a distinguished researcher in quantum computing for more than twenty years.

Through countless conversations over the years, I was able to follow the field from the inside. At the beginning, it felt almost philosophical—fascinating science, but distant from practical reality. Progress was slow, hardware was fragile, and the applications were mostly theoretical. Yet even then, there was a sense that something fundamentally different was being built.

Unlike many technologies that suddenly appear in the market, quantum computing has been advancing step by step, quietly accumulating breakthroughs.

But watching a field evolve for that long changes your perspective. You start noticing patterns. You see when skepticism begins to soften. And you recognize the subtle moment when science starts turning into technology.

Over the past few years, that shift became impossible to ignore.

Watching a Technology Grow Up

When you observe a technology for twenty years, you develop a very different perspective from someone encountering it for the first time.

You see the false starts.You see the skepticism.You see how long real scientific progress actually takes.

But you also learn to recognize when something important is beginning to change.

Around 2024 and especially in 2025, something shifted in the quantum computing ecosystem. For the first time, credible use cases began to emerge that suggested real commercial relevance. Not hype, not distant promises—actual demonstrations showing that quantum approaches could start contributing to meaningful problems.

That moment matters.

New industries rarely appear overnight. They reach a point where the science becomes sufficiently mature for entrepreneurs, engineers, and companies to begin translating discovery into application.

When I saw that shift happening, I realized something: the conversation was about to move from “Is this possible?” to “How do we use it?”

And those are very different questions. 

My Unease With Modern AI

At the same time, I had been thinking a lot about artificial intelligence.

AI has created enormous value. There is no doubt about that. But the way we build most AI systems today has always made me uncomfortable, even when I was deeply involved with the technology through two AI companies that I founded in the past.

We often say that machines are “learning.” In reality, what we call learning is largely an enormous process of statistical fitting. We feed massive datasets into models, adjust millions or billions of parameters, and reward the system when it produces outputs that resemble what we expect.

It works, sometimes spectacularly well. But it is also extraordinarily inefficient.

Training modern models often requires staggering computational resources. Vast data centers. Huge energy consumption. Massive trial and error. From a certain perspective, it feels less like learning and more like brute force pattern extraction.

That raises an important question: is scaling compute really the only path forward?

For a long time, the industry acted as if the answer was yes. I wasn’t convinced.

If intelligence is going to become embedded in critical business processes across the global economy, the efficiency of how we compute that intelligence will matter just as much as the intelligence itself.

That is where Quantum AI enters the picture.

The Convergence That Changes Everything

Quantum computing alone is a powerful scientific development. AI alone is already transforming industries. But the real shift happens when the two start interacting.

Quantum AI is not about replacing classical artificial intelligence. It is about expanding how AI can be computed.

Certain AI tasks—optimization, probabilistic modeling, sampling from complex systems, searching vast solution spaces—are fundamentally constrained by classical computation. Classical machines must explore possibilities sequentially or through approximations.

Quantum systems approach these problems differently.

Without going into technical details, they allow certain classes of problems to be explored in a way that can dramatically change the computational landscape. Instead of simply scaling hardware to brute-force more calculations, quantum methods can restructure how the search for solutions happens.

For business leaders, the implication is simple: some AI problems that are currently too expensive, too slow, or too complex may become economically viable.

That possibility is the essence of Quantum AI.

The Moment It Became Real

For many years, Quantum AI felt like an academic concept rather than a business reality.

Then came the developments around 2025.

Several published use cases demonstrated that quantum approaches could begin enhancing machine learning and optimization tasks in meaningful ways. These were not science fiction scenarios or distant projections. They were early signals that hybrid quantum–classical systems could start delivering value.

Not everywhere. Not at scale yet. But credibly.

That distinction is critical.

When technology crosses the line from theoretical promise to early practical demonstration, a window opens. The organizations that step in at that moment help shape how the technology evolves.

Waiting until everything is mature often means arriving too late to influence the landscape.

That realization played a major role in my decision.

Quantum AI was no longer just a scientific field. It was becoming an emerging industry.

Why Build a Company Now

I have spent the last decade building companies and working in entrepreneurship. That experience teaches you a very pragmatic way of looking at the world.

Ideas are important.Technology is important. But in the end, reality is defined by whether something creates value in the market.

That experience shaped how I approached Quantum AI.

Many discussions in the field are still driven by the technology itself—qubits, hardware architectures, error correction, physical implementations. Those topics are essential, but businesses don’t adopt technology because it is fascinating. They adopt it because it solves problems that matter.

I founded Quando to operate from exactly that perspective.

Instead of asking, “What can Quantum AI theoretically do?” we start with a different question: “Which real problems become solvable or dramatically better if Quantum AI approaches are introduced?”

That shift in mindset changes everything.

It forces the technology to evolve in response to application and commercial constraints. It prioritizes usefulness over elegance. And it creates a bridge between cutting-edge science and organizations that need practical results.

Why Quantum AI Matters for Businesses

Most organizations are not looking for new technology. They are looking for better outcomes.

• Higher revenue.

• Lower costs.

• Better risk decisions.

• More efficient operations.

AI has already helped companies move in that direction, but many of the most valuable problems remain extremely difficult to solve. These problems often involve enormous numbers of possibilities, uncertain environments, and complex constraints.

In other words, they are computationally intense.

Quantum AI offers a new way to approach those challenges.

By combining classical AI with quantum techniques, it becomes possible to explore solution spaces that were previously impractical. The goal is not theoretical elegance—it is better decisions and better economics.

If AI determines how decisions are made, then the efficiency of how AI itself is computed becomes a strategic factor.

That is the shift we are entering.

The Vision Behind Quando

Quando was founded to operate exactly at this intersection.

Not as a quantum research lab.

Not as a traditional AI company.

But as a company focused on Quantum AI applications that create measurable business value.

Our philosophy is simple: technology should evolve in response to real-world problems.

Instead of building technology and then searching for use cases, we start with the value-critical processes inside organizations—areas where better decisions directly impact financial performance.

Once those problems are clear, we design hybrid approaches that combine classical AI with emerging quantum capabilities.

This pragmatic approach matters because quantum technology is still evolving. The most effective path forward is not replacing existing systems, but augmenting them.

Quantum AI becomes a new computational layer—one that can progressively unlock value as the technology matures.

Timing Matters

Every technological wave has a moment when it moves from possibility to inevitability.

For Quantum AI, that moment is beginning to form.

The science has matured enough to demonstrate real potential. Hardware progress continues at a steady pace. Algorithms are becoming more sophisticated. And businesses are starting to ask practical questions.

The organizations that engage early will not just adopt the technology—they will help shape how it is used.

Waiting until everything is obvious usually means arriving after the most important opportunities have already been taken.

Quando exists because I believe we are at that inflection point.

A Personal Mission

Founding a company is never just a rational decision. It is also a personal one.

For years I had a front-row seat to the evolution of quantum computing through my brother’s work. At the same time, my entrepreneurial journey taught me how ideas become companies and how companies create impact.

Eventually those two paths converged.

I realized that the emerging world of Quantum AI needed builders—people willing to translate research into applications, experiments into products, and potential into value.

Quando is my way of contributing to that transformation.

Not by chasing hype.

Not by waiting for perfect technology.

But by engaging with the real challenges of bringing a new computational paradigm into the world.

The AI Frontier Expanded

Artificial intelligence will shape the next decades of economic and social progress. But its future will not be defined only by better models or larger datasets.

It will also be defined by how intelligence is computed.

Quantum AI introduces a fundamentally new dimension to that question.

We are only at the beginning of understanding what becomes possible when these two fields converge. But history tells us that when computing paradigms change, entire industries follow.

Quando was founded with a simple belief:

The next leap in AI will not come only from better algorithms—but from better computation.

And Quantum AI may be the key that unlocks it.

Join the new era. Expand the AI frontier.