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 methodology is disruptive and valuable, as it enables the solution of operational problems and multivariable innovation challenges, starting from the selection 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 between themselves are solved using inventive principles—also described universally and organized in the Classical TRIZ Contradiction Matrix, which is recognized here as:“The world's first hand-made application of conceptual artificial intelligence AI”
This 39x39 innovation parameter matrix contains 1248 defined contradictions.
Aatrizinventor identifies innovative solutions by selecting a 5x5 parameter submatrix from the main matrix. This submatrix comprises up to four undesirable effects identified for the specific case being evaluated, along with one selected need to satisfy.
Since up to seven undesirable effects can be evaluated and combined with the ten defined needs, Aatrizinventor performs a sensitivity analysis of 350 alternative solutions, ultimately presenting 10 options for the Innovation Team to consider. This process ensures that the Aatrizinventor algorithm evaluates all interactions between the variables involved, leading to a high degree of convergence in identifying viable solutions with minimal cost and the highest benefit-to-cost ratio.

Those who adopt this methodology will discover disruptive solutions to their complex challenges with speed and focus.

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…

Hi, I'm José Roberto Espinoza, an engineer with 30 years of experience in the Chilean mining and electricity industries. My goal is to promote Nature's Language of Innovation and its algorithm, Aatrizinventor, an integrated methodology designed to satisfy people's needs.

This language selectively combines concepts from Restrictions Theory TOC, developed by Eliyahu M. Goldratt, Theory of Inventive Problem Solving TRIZ, developed by Genrich Altshuller, and Morphological Analysis, developed by Fritz Zwicky.
The methodology is also based on a Hegelian principle, as verified by Aatrizinventor: "the current situation determines the future one, and this, in turn, will condition the next one."

The central abductive hypothesis applied in this methodology, known as the Language of Innovation in Nature, is as follows: Innovation in nature is "mathematically quantifiable"; it is not random or intuitive, but rather can be formalized using concepts and patterns that are replicable at all stages of its evolution.

We have experimentally validated the methodology, showing its ability to predict innovation-evolution processes in nature and human history—including AI—and its projection toward future developments.