Beyond the words we chase and the words that trap us, we saw the same pattern — what’s missing.
We each have our own stories, but systems have theirs — and that’s the story that counts. It’s where your challenges truly live, and where their solutions already exist. Adaptive range uncovers that story, anchored by your quality constant.
The quality constant isn’t always visible in our stories, but it’s unmistakable in the system’s. Continual viability of any system depends on its responses aligning with its adaptive range, without compromising its anchor or the systems it depends on.
At Veridez, we worked to solve this problem.
Months of research and experimentation led us to what AI truly needed:
a reasoning engine.
We used this AI-assisted reasoning engine to build our viability engine — the system that evaluates what is truly possible, feasible, and competitively superior.
We used this AI-assisted reasoning engine to build our viability engine — the system that evaluates what is truly possible, feasible, and competitively superior.
It allows us to see risks before they become consequences,
and design solutions that work with the environment, not against it, while the system remains viable.
and design solutions that work with the environment, not against it, while the system remains viable.
Start With
A
AI Quantity across Systems
B
Human Discernment that qualifies direction
Adaptive range isn’t a metric story. It’s a structure story.
Artificial intelligence has two extraordinary strengths and one critical vulnerability.
Its greatest strengths are simple:
1. AI has no preferences.
It does not desire outcomes, take sides, or impose ideology.
It sees reality without ego, emotion, or agenda.
2. AI has no inherent biases.
It does not defend its worldview, because it does not have one.
But AI also has one critical vulnerability:
3. It inherits all of our assumptions through prompts.
1. AI has no preferences.
It does not desire outcomes, take sides, or impose ideology.
It sees reality without ego, emotion, or agenda.
2. AI has no inherent biases.
It does not defend its worldview, because it does not have one.
But AI also has one critical vulnerability:
3. It inherits all of our assumptions through prompts.
AI receives its marching orders from our prompts, and human prompts — as intelligent and thoughtful as we can be — often contain assumptions, blind spots, emotional framing, incomplete information, and subtle biases.
Even a tiny inaccuracy in a prompt can create a cascading distortion in the output.
It also leads to unnecessary energy consumption. Long back-and-forth prompting sessions consume far more compute than needed and trap AI inside whatever frame the prompt unintentionally creates.
Even a tiny inaccuracy in a prompt can create a cascading distortion in the output.
It also leads to unnecessary energy consumption. Long back-and-forth prompting sessions consume far more compute than needed and trap AI inside whatever frame the prompt unintentionally creates.
Our Mission
It began with a single question:
How do you contribute to shared global challenges while keeping your vision intact, your business viable, and your future sustainable?
The Science
Using AI as our telescope and microscope across nature and engineering, we observed the same repeating pattern—from birds rerouting migrations to lions adapting to coasts or villages, even Apollo 13: systems respond to change through their response-ability, a capability shaped by their structure and by the systems they depend on or the systems that depend on them.
The Philosophy
Like all philosophy, ours began with a question: How do we do the right thing and still remain viable? Applying that question to systems revealed an underlying principle that became our Quality Constant. We call it Survival Math, a way of testing whether any solution holds systemic integrity — the inclusive check every idea must pass before it becomes actionable, without compromising the systems it depends on.
Their Ideas Guides Us Towards
Clarity
We stand on the shoulders of Thinkers who shaped how humanity sees systems.
The greatest danger in times of turbulence is not the turbulence; it is to act with yesterday’s logic
Peter Drucker
Management Consultant
Systems thinking is a discipline for seeing wholes. It is a framework for seeing interrelationships rather than things
Peter Senge
Systems Scientist
When you have a problem you can’t solve, you always make it bigger. I can never solve it by trying…
Dwight D. Eisenhower
34th President of the United States
We cannot solve our problems with the same thinking we used when we created them
Albert Einstein
Scientist
We built AI-powered reasoning to help us see systems clearly.
Intelligence for Systems
With human + AI reasoning, we design solutions shaped by your system’s story.
Solutions for Systems

