The AI industry stands at a critical juncture. While large language models (LLMs) have revolutionized technology and business, their underlying economics are unstable. The "AI bubble" represents a systemic risk, not just for the tech sector, but for the broader economy.

The core issue of the industry lies in the unsustainable scaling of LLMs. Despite their transformative potential, these models are fundamentally unprofitable, infrastructure hungry and energy unsustainable at scale.

The industry’s reliance on venture capital and subsidized trillion dollars infrastructure cannot persist indefinitely. We recognize that the path forward must prioritize efficiency and sustainability, not just brute-force scaling.

Energy consumption that reverses all tech giants' net zero commitments is another pressing concern. The exponential growth in compute requirements for training and deploying LLMs is unsustainable. Data centers consuming gigawatts of power and plans to use nuclear power plants, nuclear fusion or even launching infrastructure into orbit are not solutions - they are symptoms of a deeply flawed model.

Besides costs and energy, dependency on infrastructure that requires significant time to build is not going to be scalable. As an example, latest Nvidia datacenter takes 3 years to construct which is a century in the fast pacing AI race.

Our goal is to develop AI architectures that deliver value without the unsustainable burn rates and infrastructure of today’s approaches based on 5 principals.

We are committed to advancing AI technologies that minimize energy demands while maximizing performance, ensuring that AI can thrive in any environment, from cloud data centers to edge devices. From Earth where infrastructure is easily built to off-world destinations where every inch and ounce is scarce.

The industry's overreliance on a handful of API providers further compounds the risk. The AI ecosystem is dangerously interdependent, with over 95% of solutions built on top of a few dominant LLM platforms. A disruption in this fragile balance could have cascading effects across the industry. Our mission is to offer a future-proof alternative for the industry that doesn't rely on handful of AI vendors itself.

Being profitable is a guarantee to evade AI bubble in the future which is currently already more than 10x larger than dot com bubble due to inherently unprofitable LLMs. We maintain lowest possible cost price from day one which allows us to offer low prices to bring advanced AI to more people.

We believe that safe AI is explainable by design AI, not attempts to align or decipher a black box AI. With technology rooted in Neuro-Symbolic AI we bridge the best of two worlds keeping AI explainable and traceable by design.

We believe that LLMs are not the ultimate path to AI that truly understands the world and able to plan, respond and execute based on this understanding. With diminishing returns in LLMs performance, the lack of breakthroughs and inherent flaws, we need new ideas and algorithms. Our mission is to pioneer the next generation of AI architectures that are sustainable, affordable and explainable.