The Inevitable Evolution

of Digital Intelligence.

Every decade, a foundational company emerges to organize a new layer of human reality. We believe that Ai innovation is entering the era of Affective Infrastructure.

BriteMind Ai’s patent filed technologies provide unprecedented competitive advantage in the foundational logic layer for human context.

AI that understands, not just talks.

Founder Snapshot

Clark Swanson is the founder and Executive Chairman of BriteMind AI. Mr. Swanson is an American entrepreneur and technologist whose work spans large-scale computing, applied behavioral analytics, and human-centered system design. He is best known as the co-founder and former CEO of Blockcap, one of the world’s largest Bitcoin mining companies, which was acquired by Core Scientific in a $1.46 billion transaction.

Swanson previously pioneered patented behavior-monitoring and telematics technologies through Blackline Safety (TSX: BLN) serving more than a decade holding roles of co-Founder, President, Director & CEO. He has led development efforts for scientific research focused on cancer-therapeutics analytics, industrial computing, and outcome-driven data systems.
Through BriteMind AI, Swanson leads a stealth research and engineering team focused on building emotionally grounded artificial intelligence—systems designed to understand human state, intent, and change without reliance on extractive data-mining models. The company’s intellectual-property portfolio spans affective signal processing, predicate-based reasoning, and outcome-verified learning architectures, forming the technical foundation of MyTherapist™.

BriteMind AI™ is privately funded through Swanson-affiliated investment vehicles and operates with a strong emphasis on privacy, defensibility, and long-term systems thinking.

The Pedigree of Predicate Intelligence

Predicate reasoning is the formal logic of relationships and variables—the ability to understand that a signal’s truth depends entirely on its context.

Footnote — Predicate Logic & Emotional Intelligence Architecture: While modern large language models (LLMs) primarily operate via probabilistic inference over latent semantic representations, they do not natively employ explicit predicate logic over declared emotional states or outcome-verified psychological conditions. By contrast, early enterprise systems such as PayPal (fraud and risk adjudication) and Palantir (ontology-driven intelligence platforms) demonstrated the power of predicate-based reasoning in operational and decision-critical domains. BriteMind extends this paradigm into emotional intelligence by applying predicate logic to explicitly declared subjective emotional states, contextual triggers, and verified outcomes—enabling causal, auditable reasoning over human psychological experience rather than statistical approximation alone. To the best of the Company’s knowledge, no existing LLM-based system applies predicate-grounded reasoning to emotional state modeling with closed-loop outcome verification. The application of predicate logic to emotional intelligence in this manner constitutes a novel, non-obvious technological advancement and is the subject of pending patent filings.

What makes us different?

Linguistic Intelligence vs. Affective Intelligence

The current market leaders have optimized for language prediction and generative content. They are the masters of the “How”, i.e. how to write an email, how to summarize a report, and how to mimic human speech. However, these systems lack a true understanding of the “Why”.

They operate in a flattened world where words are divorced from the life-and-death or joy-and-grief realities that generated them.

By modeling the variables that lead to human improvement, we create a proprietary data loop where predictive accuracy compounds with every interaction.

This architecture provides BriteMind AI the ability to offer services unlike traditional Large Language Models (“LLM’s”).

BriteMind AI has introduced a novel computational architecture for transforming subjective human experience into structured, outcome-validated intelligence using predicate-gated reasoning and longitudinal learning.

The same underlying architecture governs both therapeutic and faith-based operation. Faith is not a separate feature; it is a domain-specific instantiation of the same patented intelligence syntax.

Calculating Human State at Machine Scale

The Higher-Order Layer: The Intelligence Layer for Human Context.
BriteMind is the foundational infrastructure for computing human state, situational trajectory, and behavioral consequence. We transform subjective experience into objective, multi-dimensional vectors.

The Value Proposition: Modern AI has mastered language reasoning and information retrieval. However, it remains context-blind—unable to distinguish the psychological distance between identical words used in different realities.
BriteMind closes this “Semantic Gap.”

We provide the horizontal layer that allows machines to reason not just over what is said, but over the state of the human saying it.

From Signals to State

The current digital economy is built on Engagement Signals: likes, scrolls, and dwell time. These are “behavioral exhaust” useful for preference prediction, but insufficient for high-stakes human interaction.
BriteMind AI differentiates by operating at the human-state inference layer rather than the attention or interaction layer. While most AI platforms optimize for engagement, responsiveness, or content relevance, BriteMind focuses on state-aware understanding and outcome prediction.

The platform employs a multi-stage inference model that:

  • Interprets language to derive underlying meaning, capturing intent beyond surface-level sentiment or keywords

  • Maps meaning to human state, incorporating psychological pressure, emotional load, and situational constraints

  • Projects state to consequence, enabling probabilistic forecasting of behavioral trajectory and next-best outcomes

This approach positions BriteMind as a state-centric intelligence platform, suitable for use cases requiring predictive insight, resolution-oriented intervention, and longitudinal human outcome tracking, rather than short-term engagement optimization.

The Technology: A Stable Scaffold for Infinite Context

BriteMind’s breakthrough is a proprietary architecture that converts unbounded human experience into structured, computable intelligence.

Contextual Emotional Tokenization™

We treat emotions, life events, and environmental pressures as discrete tokens. These tokens are projected into a Multi-Dimensional Coordinate System forming a stable inference scaffold that organizes infinite inputs into a consistent, learnable structure.

  • Emotional Velocity: The system doesn’t just identify an emotion; it calculates its direction and intensity based on situational weighting.

  • Predicate-Governed Inference: Our architecture ensures that machine output is governed by the reality of the user’s situation, preventing “context-collapse” rejections.

  • Unbounded Context: Because our tokenization method is modular, the system compounds in intelligence with every new life event, cultural moment, or physiological signal it ingests.

BriteMind AI’s Flagship Product: MyTherapist™ is the first large-scale deployment of the BriteMind state-intelligence platform.

Built on BriteMind’s predicate-logic engine, MyTherapist translates human language, emotion, and context into structured state models—allowing the system to reason about where a person is, what pressures they are under, and which outcomes are most likely next.

Unlike traditional conversational AI, MyTherapist does not simply respond. It infers, predicts, and learns from outcomes, continuously refining its intelligence based on what actually produces measurable improvement rather than surface-level reassurance or engagement.

The underlying large language model has been programmatically curated by scientists, PhDs, and MDs with a singular focus on performance-driven outcomes—designed to perform, not placate. Clinical oversight is led by Dr. Robert “Neal” Mills, M.D., MBA, Chief Medical Officer, following his tenure as Global Chief Medical Officer of Goldman Sachs, Inc. Dr. Mills has pioneered a proprietary library of semantic and dialectical learning frameworks that form the cognitive scaffold of MyTherapist.

The product has been extensively pressure-tested by leading mental health professionals worldwide, consistently ranking at the top in evaluations of clinical rigor, practical utility, and outcome alignment.

”Carl Jung taught that the unconscious is revealed not by what is said, but by what remains unresolved. MyTherapist applies this insight computationally—mapping latent patterns beneath language to address root conditions, enabling resolution and healing in ways traditional conversational systems cannot.

— Dr. Robert “Neal” Mills, M.D., MBAChief Medical Officer, MyTherapist

Our Patent-Pending Architecture covers:

1. Methods for Contextual Tokenization: How subjective input is transformed into machine-usable state tokens.

2. Multi-Dimensional Mapping: The mathematical architecture for projecting affective states into a stable coordinate system.

3. Situational Weighting Engines: Proprietary methods for calculating “Psychological Velocity” and behavioral trajectories.

4. Outcome-Anchored Learning Loops: A protected feedback mechanism that refines intelligence based on real-world human consequences.

BriteMind AI’s advantage is not just data input vectors—it is the proprietary geometry of the data: how signals are structured, related, and evolve over time. This makes the platform inherently difficult to replicate for incumbents whose architectures were designed for static retrieval, not dynamic state modeling.

The Learning Loop: Outcome-Validated Intelligence

BriteMind AI is not a static model; it is a self-correcting engine. The platform improves through a closed, outcome-anchored loop:

State → Context → Output → Measured Outcome → Weight Optimization

BriteMind AI closes the loop between prediction and outcome by validating interventions against observed real-world results. Each interaction feeds back into the system, refining state inference and outcome forecasting over time.

This results in a self-reinforcing optimization cycle, where model accuracy compounds as longitudinal outcome data accumulates.

Horizontal Scalability: One Syntax, Infinite Markets

BriteMind AI is a horizontal infrastructure layer. The same “Human State Syntax” powers diverse, multi-billion dollar verticals.

”BriteMind is a predicate-logic engine for modeling human state under uncertainty—applicable to markets, politics, risk, and decision systems wherever behavior is driven by internal pressure, not just observable actions.

— Clark SwansonFounder & Executive Chairman

The Vision: The Inevitable Shift

The last decade of AI was defined by Generative Content. The next decade will be defined by Human-State Intelligence.

As AI moves into high-stakes roles—healthcare, crisis management, and enterprise decision-making—the ability to compute context and consequence becomes the “Great Requirement.”

BriteMind AI is the only platform built to be the default layer for this transition.