Hard problems should not require a giant company to solve them.
SQT exists to make advanced ways of thinking, modeling and computing accessible to ambitious people and organizations whose problems are bigger than their internal technical capacity.
Complexity does not care how large your company is.
A ten-person startup can face a decision with millions of possible outcomes. A small logistics team can manage scheduling complexity that overwhelms manual planning. A growing company can face uncertainty its existing systems were never designed to explore.
Problem complexity is not proportional to headcount.
Democratize advanced problem solving.
We want ambitious organizations to operate with scientific and computational sophistication disproportionate to their size.
That means broader access to problem formulation, optimization, simulation, advanced computing, AI-assisted research, quantum thinking and specialist expertise when it matters.
We start with the problem.
Problem before technology.
Baseline before claims.
Evidence before adoption.
Simple solutions compete too.
Specialist depth when the problem requires it.
"A sophisticated answer to the wrong problem is still the wrong answer."
Quantum is more than a machine we are waiting for.
Quantum computing creates new computational possibilities. Quantum thinking creates another useful discipline: challenge the assumptions, reformulate the problem and stop assuming today's method is the only possible method.
The objective is not to replace classical computing with quantum computing. The objective is to discover better ways to solve the problem.
The method has to earn its place.
If classical wins, classical wins. If quantum loses, quantum loses. Evidence decides.
Two ways to create capability.
LEARN
Help people understand, experiment and become capable of solving harder problems themselves.
SOLVE
Work directly on an economically meaningful problem and test better ways to understand, formulate and solve it.
Learn builds capability. Solve applies it.
Small by design. Deep when required.
SQT operates with an AI-first core team. We use AI aggressively across research, analysis, experimentation, prototyping, documentation and learning before increasing permanent organizational complexity.
We add expertise when the problem requires expertise — not because the org chart requires headcount.
Expertise should enter when it creates value.
Some problems require deeper domain knowledge, advanced mathematics, scientific validation or technology-specific expertise. When they do, SQT brings the appropriate specialist into the work.
The objective is not to pretend we know everything. It is to know what the problem requires.
The core responsibility stays with SQT.
Understanding the business problem.
Challenging the current framing.
Defining what better means.
Establishing the baseline.
Designing the learning or experiment.
Orchestrating AI, specialists and technology.
Interpreting the evidence.
Helping decide what should happen next.
AI expands the core. It does not replace judgment.
We use AI as leverage across research, literature review, data exploration, formulation, code, prototypes, testing, documentation and adaptive learning.
AI can accelerate the work. Evidence, judgment and responsibility still matter.
A small core with a large ambition.
SQT is led by two founders working across advanced computing, artificial intelligence, quantum, business, learning and complex problem solving.
Ivonne Bernier
Founder
Ivonne leads quantum computing strategy, bio-computing research, and advanced scientific thinking at SQT.
LinkedIn ↗Jean Bernier
Founder
Jean leads artificial intelligence, analytics, digital transformation, and business problem solving at SQT.
LinkedIn ↗We would rather be precise than impressive.
What we bring today
Experience across AI, analytics, digital transformation, business problem solving, emerging technology education and quantum knowledge.
What we are building
A growing body of applied experiments, benchmarks, learning outcomes and real-world advanced-computing work.
We will not turn an experiment into a case study or a hypothesis into a proven advantage.
SQT is where Bernier Group explores the hardest problems.
Spin Quantum Tech is Bernier Group's applied science and advanced computing business unit — focused on complex problems, computational experimentation and the capabilities that can create better decisions and more valuable time.
Scientific and computational advantage should not be an enterprise privilege.
We want founders, professionals, engineers and smaller organizations to become capable of understanding and solving problems that previously required capabilities far beyond their size.
Smaller organization. Bigger capability.
SQT LEARN — PRE-LAUNCH
Be among the first to learn quantum around the problems that matter to you.
Join early access to receive launch updates, invitations to pilot learning experiences and priority access as SQT Learn opens.
Business, Engineer and Team paths. Available in English and Spanish.