Aatrizinventor Algorithm
for Systematic Innovation

The Aatrizinventor Algorithm applies a unique and disruptive methodology that systematically uses the Nature’s Language of Innovation, unveiled to discover innovative solutions in any area of human development.

We also refer to this methodology as Nature’s L.I., an acronym that sounds like Nature’s Light, because it illuminates innovation with the same logic that nature uses to create its own solutions.

This project is original and valuable, as it enables the resolution of operational problems and multivariable innovation challenges, starting from the identification of up to seven undesired effects and one need to satisfy that define the current state of an innovation challenge.
The methodology identifies in nature 24 undesired effects and 10 needs to satisfy, both described in universal terms.
These 10 needs define the innovation-evolution curve of both nature and human creations or actions.

Within Aatrizinventor, these undesired effects and needs to satisfy are referred to as innovation parameters, whose contradictions are solved using inventive principles—also described universally and organized in the Classical TRIZ Contradiction Matrix, which I recognize as: “The world's first hand-made application of conceptual artificial intelligence IA”

Do you have an operational problem or an innovation challenge? Do you need a solution?
Aatrizinventor may be the key you've been searching for.

and more...

Hello, I’m José Roberto Espinoza, an engineer with 30 years of experience in Chile’s mining and electrical industries. My mission is to promote the Nature’s Language of Innovation and its algorithm, Aatrizinventor—an integrated innovation methodology designed to truly address people’s needs.

The Nature’s Language of Innovation was revealed by selectively combining concepts from the Theory of Constraints (TOC), the Theory of Inventive Problem Solving (TRIZ), and the Theory of Morphological Analysis (MA).

This methodology is based on people’s knowledge of their own challenges and in a paradigm assigned to nature by Hegelian philosophy, verified by Aatrizinventor: 'the current situation determines the future one, and that in turn will condition the next'.

This language can be applied across any time, space, or condition. Because of this, humans have developed the ability to identify current situations—whether real, imagined, or imposed—thus accelerating their evolution through constant leaps toward new innovation-evolution curves.

The Aatrizinventor Algorithm is based on a bold yet deeply reasoned abductive hypothesis: Innovation is not a chaotic or purely intuitive process—it can be formalized through mathematical structures and replicable patterns.
In essence, this methodology affirms that the phenomenon of innovation is, ultimately, mathematizable.

We have experimentally validated this methodology and demonstrated its capacity to predict innovation-evolution processes that have occurred in nature and throughout human development—including artificial intelligence.

By extension, it will apply to all future innovation breakthroughs yet to come.