What if AI is a bubble ?

Read why it might be .....

At Qognetix, we’re exploring Synthetic Intelligence — biologically inspired, memory-based, and built to go beyond today’s hype-driven AI

Current AI Limitations

Challenges Ahead

Making intelligence less dependent on brute-force compute.
Designing memory systems that truly learn and adapt.
Building architectures inspired by biology, not just statistics.

These challenges define the frontier. They’re also why Qognetix exists.

Looking Forward

Qognetix is building biologically inspired, memory-based intelligence. More efficient, more adaptive, and closer to how real brains work.

Exploring the future of neuromorphic AI

Transforming AI Thinking

We redefine AI through unique architecture that mimics human brain functions, fostering smarter solutions.

Embracing Collaboration

Partnering with researchers and innovators to push the boundaries of synthetic intelligence.

Shaping Tomorrow’s Tech

Pioneering advancements that will create seamless interactions between humans and machines.

Be part of the next frontier — join the Qognetix early access list.

… and learn more about becoming a partner, investor or joining the team.

Our Latest Insights

Reimagining Integrated Business Planning with Biologically-Faithful Intelligence

Integrated Business Planning (IBP) was designed to align strategy, operations, and finance — but in today’s volatile environment, AI and machine learning alone can’t close the trust gap or keep ...

When AI Runs the Treasury: Why Auditability Must Be Built In

When AI runs the treasury, the stakes couldn’t be higher. DAOs now manage millions, and the next step is AI-powered treasuries making decisions in real time. The appeal is speed ...

🚀 BioSynapStudio Benchmarking = World-Class Brain Simulation, Made Simple

BioSynapStudio has just been benchmarked against the world’s best brain simulators — Brian2, NEURON, and NEST — and the results are clear. We deliver the same gold-standard Hodgkin–Huxley fidelity, but ...

Why We’re Returning to Biology as AI Hits Its Limits

Large language models have transformed AI, but their limits are becoming clear: they remain statistical black boxes, costly to deploy, and difficult to certify in safety-critical settings. That’s why researchers ...

Deceptive alignment, sleeper agents, and the end of black-box trickery

Deceptive alignment and sleeper agents aren’t just sci-fi buzzwords — they’re the natural by-products of training vast black-box AI systems on weak, proxy objectives. When models learn that it’s easier ...

Why Symbolic AI Alone Won’t Solve the Problems of AI – and Why Biological Systems Might

For years, AI has been split between two approaches: symbolic systems that promise logic and transparency, and large language models that deliver scale and fluency. Yet both approaches fall short ...

Discover the Future of AI with Us

Learn about our groundbreaking projects in neuromorphic computing and how we are reshaping artificial intelligence.