Our Story
Artificial Intelligence has dazzled the world — but it has also revealed its limits. Despite the hype, AI has struggled with scalability, interpretability, and trust. The cycle of inflated expectations and disappointment has left one truth clear: no commercially viable form of Synthetic Intelligence (SI) existed.
At Qognetix, we chose to start from first principles. Rather than stretching the boundaries of AI, we set out to build SI from the ground up — grounded in biology and physics, not just algorithms.
From Concept to Proof
Our journey began with the creation of a Brain Engine, from which we built BioSynapStudio, a scientific tool designed to model neurons and synapses with unprecedented fidelity. This wasn’t just software — it was our first proof point that SI could move from concept to reality.
To validate our approach, we produced a benchmarking paper comparing BioSynapStudio’s performance against canonical Hodgkin–Huxley models. The results confirmed what we believed: our synthetic approach achieves biological accuracy and opens the door to new possibilities.
We released this work openly through OSF, inviting the research community to engage, challenge, and build upon it. This step wasn’t just about credibility — it was about transparency and trust, values at the core of Qognetix.
Where We’re Going
Our strategy so far has been science first, commercialisation second. By establishing trust and validation early, we are laying the foundation for Synthetic Intelligence to become a reliable, interpretable, and commercially viable paradigm.
The next phase is Market Entry & Validation:
- Expanding partnerships with universities, labs, and sovereign AI initiatives.
- Securing early-stage funding to accelerate development.
- Extending BioSynapStudio into a wider SDK and IDE ecosystem.
Our vision is simple but ambitious: to establish Qognetix as the origin of viable Synthetic Intelligence — a platform that transforms both science and society.
Our journey is made possible by the partners who support and collaborate with us. Discover our partnerships.
A Different Kind of Team
We’re not career AI or neuroscience insiders — and that’s by design. Our backgrounds are in engineering, systems design, and applied science, not the Silicon Valley hype cycle or traditional academic pathways. Being outsiders gives us a critical advantage: we aren’t bound by conventional assumptions or institutional blind spots. Nor have we been swayed by large investors or constrained by rigid research pathways — we’ve had the freedom to pursue what the science itself demands.
This has allowed us to approach synthetic intelligence the way engineers and scientists should — by building from first principles, testing rigorously, and demanding evidence before claims. We’ve invested heavily in research and self-education to build the know-how needed to engage meaningfully with the science and contribute something genuinely new. Every step of our work is grounded in measurable benchmarks and reproducible results. For us, progress isn’t a press release — it’s data you can verify.