Disrypt™ designs, deploys, and governs AI systems that operate inside real institutional workflows. We work at the intersection of law, regulation, finance, and advanced AI to deliver systems that improve decision quality, operational efficiency, and long-term institutional resilience.
This is not research for its own sake, and not experimental AI.
Our work is deployed, measured, governed, and sustained in production environments.
AI-assisted research, analysis, drafting, quality assurance, and decision support embedded directly into live workflows.
AI systems designed to function within legal, regulatory, financial, and operational constraints from day one.
Usage standards, evaluation frameworks, and defensibility built into every system we deploy.
Technology alone is not the advantage.
Institutions fail when systems are built in silos.
Compliance, Defensibility, Governance
Sustainability, Preservation, Risk Alignment
Scalable Intelligence Embedded in Operations
Ownership, Continuity, Institutional Memory
Alignment of Funding with Execution
"That loop is our advantage."
Every tool you see in this incubator was born from a real client need, tested in live environments, and iterated in production. This is why our portfolio isn’t a list of ideas. It’s an inventory of deployed systems, internal engines, SaaS platforms, and nonprofit-grade tools already in use.
...and working systems into scalable platforms — across business, nonprofit, and institutional environments.
Disrypt™ operates as a collaborative organization combining legal, technical, and research expertise.
Founder & Applied AI Architecture Lead
U.S.-licensed attorney with 20+ years in legal, tax, financial, and operational systems and extensive experience delivering applied AI in production environments.
Systems & Applied AI Collaboration
Daniel leads business development and front-end operations, connecting us with clients and collaborators worldwide. His background in sales and relationship building ensures our ideas reach the people and industries that need them most.
Cognitive Science & Human-AI Decision Modeling
Pioneering neuroscientist and inventor of Brain Fingerprinting. Dr. Farwell brings world-class expertise in the intersection of human cognition, neuroscience, and artificial intelligence systems.
LLM Training, Evaluation & BCI Technology
Specialist in Large Language Model training methodologies, evaluation frameworks, and Brain-Computer Interface technologies. Kambrah ensures our AI models are rigorous, accurate, and aligned with human intent.
Lead Developer & Technical Architecture
Senior technical architect responsible for the core infrastructure and scalable deployment of our AI systems. Argie ensures robust performance and security across all deployed solutions.
AI Systems Engineering & Deployment
Expert in the practical engineering and deployment of AI agents and workflows. Donford bridges the gap between theoretical models and functioning, production-ready systems.