Evolving AI from
Language to Reality.

The Ontological Gap: Current models predict the next token. We enable them to reason about the Whole Human. Introducing Wholistic Systemic Interpretability (WSI)—the missing reasoning layer for AI.

For AI Development Partners

From Human Data to AI Wisdom

The SMT is not just a chart. It is the structured data engine that powers WSI.

The Data Gap: AI needs "Ground Truth" to understand human context. Internet text isn't enough. It needs a structured map of human reality.

The Solution (The SMT): The image on the right shows the Spherical Modeling Tool (SMT). For 25 years, we have used this system to capture the "Shape" of human experience—from the stress of a student to the complexity of a city. Each sphere represents a unique, valid dataset of human structural integrity.

The Integration (WSI): Wholistic Systemic Interpretability (WSI) ingests this SMT data. It translates the contextual data—tension, distance, and connection—within these spheres into computable geometric vectors. This allows the AI to stop guessing at "tokens" and start reasoning about the "whole system" shown in these models.

We don't just visualize the data; we translate it into the math of empathy.

See the Architecture →
The SMT generates the fractal data that trains the WSI engine

Fractal Scalability: The SMT captures the structural data of any system—from Mental Health to Macro Systems—creating the 'Ground Truth' for AI reasoning.

AI's Expanded Purpose: Core Markets

Hyper-personalized "wholistic" capabilities for:

  • Enterprise Intelligence
  • Health and Wellbeing*
  • Communication Intelligence

*Health and Wellbeing example: current AI may analyze patient symptoms in isolation for care providers, while WSI enables patients and care providers to understand, through AI assistance, how their life context creates patterns affecting their health.

25
Years of R&D
Validated Systemic Modeling.
7,408,544
US Patent No.
Foundational IP for WSI.
∞
Generative Framework
Autonomous Reasoning Layers.

The Scaling Illusion

The industry has hit a wall. Adding compute power will not solve the lack of human context. To advance, AI requires a New Model of the World—one that captures the structural integrity of Complex Adaptive Systems. We built that model.

WSI: A New Integration Layer for AI

Linear thinking still has its place. But we need an essential upgrade for how we navigate our complex human environments.

Human-Centric Design

It's time to align AI development with the core needs of humanity—fostering well-being, contextual learning, and collaborative intelligence.

Interconnected Systems

It's time to connect AI to the rich relationships and context that create feedback loops in human experience, moving beyond data extraction.

Holistic Context

It's time to move beyond analyzing parts to understanding the whole system, revealing the unseen forces that shape outcomes.

From Theory to Patented Application.

Founded by leaders with a boots-on-the-ground advantage, built through decades of cross-sector experience spanning social impact, corporate leadership, technology deployment, and entrepreneurship before establishing Spherit as a focused R&D organization. We operate as a private R&D organization, not a startup, with 25 years validating spherical frameworks that can now be enhanced with AI to bridge the gap between artificial intelligence and human complexity.

Our Proprietary Spherical Modeling Tool (SMT)

Our system involves extensive proprietary methodologies developed beyond our U.S. patented technology, designed to model the complexities of human adaptive systems and enable humans to navigate these in real-time as context-aware decision-makers.

Our Proprietary Context Convo Maps

A methodology to facilitate structured, holistic dialogue—human to human, human to AI, AI to human—activating deeper insights and aligning participants around shared, systemic understandings. Field tested with over 45,000 users across 50+ unique applications, with transferability validated by 1,000+ professionals trained in high-stakes, mandated environments.

The Goal Isn't Smarter AI.
It's Wiser AI.

Wholistic Systemic Interpretability shifts the objective of AI from pure optimization to human flourishing. It provides the framework to build AI that fosters contextual reasoning, deepens understanding, and unlocks our collective potential for wholeness.

And who wouldn't want to implement this at the intersection of multiple billion-dollar markets — enterprise intelligence, mental wellness, personal development, and AI companions?

This Vision Requires the Right Partners Who 'Get It.'

This is an invitation for visionary AI developers and industry leaders to move beyond the crowded market of incremental AI tools and acquire the foundational framework for the next generation of intelligent systems.

Strategic Stewardship

We are open to a mission-aligned alliance with organizations—AI or otherwise—committed to integrating WSI into their systems to deepen human-centered contextual intelligence.

IP Acquisition

We seek IP acquisition by a visionary organization committed to collaborative implementation of our spherical framework to advance human-centered AI applications.

*All partnerships include essential implementation support as WSI requires some adjacent training in Complex Adaptive Systems and humanistic engagement approaches.

The Center for Spherical Thinking For organizations interested in broader cultural impact, we also welcome partnerships to establish an education and research institute advancing the adoption of this essential 21st-century mental model among leaders, innovators, and communities ready for systemic thinking.

Let's start a conversation.

hello@sphericalthinking.ai


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