Our Technology…
The majority of today’s research and business focus upward to which AI algorithms-based solutions are best. Quandris went downward to the actual limits imposed by modeling representations using only 1’s and 0’s and the limits binary operations have for processing.
While exploring the above, we shifted our perspective inspired by principles from Information Physics. From this understanding we have developed an approach beyond Turing’s Binary processors which focus only on closed systems. We built a Geometrical Information Processing Space. Its spatial encoding lends itself to the natural world by blending open and closed systems to work together.
‘Why does this matter?’, you ask. What started us on this path is that reality isn’t based on binary 1’s and 0’s. Reality has a deeper relationship than 1’s and 0’s, involving physical forms and features of those forms. We understand the math that explains why LLM based systems hallucinate. We solved this issue by building a spatial form of encoding that operates within a geometrical information processing space (GIPS).
The GIPS we have constructed is a virtual version today. It is already capable of tackling problems that current approaches fail to solve. This holds true even with the latest AI tools.
The Quandris Lens™ is our first vertical to take advantage the GIPS. We have several more planned and we expect to see many more organizations joining us in this new information processing approach.
We’re bringing GIPS to market through rebuilding algorithms around geometry itself. That shift frees us from the limits of binary processing, which is perfect for math but poorly suited for the complexity of real‑world systems.
We’ve patented the virtual GIPS technology, and our ultimate goal is to productize it into hardware. That shift will unlock performance increases of several thousand times. This hardware is planned as our third major product release in the next few years.
Our work is grounded in a unified theoretical foundation that resolves long‑standing limitations in traditional computational models. This foundation is patented and demonstrated in our virtual GIPS implementation. We will share more high‑level concepts as we continue to expand the public documentation.
Quandris Inc. 