Across biology, finance, and AI, network analysis is everywhere—but current methods can't disentangle the hidden, interwoven causes shaping these systems. Clusters form from multiple overlapping influences—genetic, structural, functional, or contextual—making it impossible to isolate true drivers of function, disease, or meaning. This is a core barrier to breakthroughs in precision medicine and next-generation AI.
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Comprehension Normalization Method (CNM) is a patented approach that exposes the underlying causal structure of networks - biological or linguistic. CNM reveals why elements in a network cluster together, not just how they do. It untangles layered and confounding factors, isolating the individual forces that drive network structure.
Software for Network Analytics
Networks are everywhere. CNM with networks isolates causal features underlying groupings be they because of coexpression or paper citations, CNM can find and isolate those underlying forces so that they may be studied in this more simplified situation. For natural networks - which appear in almost every field - there are causes to their architecture. CNM clarifies and simplifies causation to one or few underlying forces at a time. This is an advancement in understanding complexity.
Software for AI & Language
Language is also a network, depending on the connections a specific domain generates, CNM for language can get at commonalities in underlying meanings, in an understanding way instead of merely a predictive way. Current AI models rely on massive datasets, but struggle with logical consistency. CNM for AI and language expands connections by shared underlying meaning. CNM Mimics how humans refine understanding when they rephrase concepts in different ways.
Management Team
CEO and Cofounder
Bridget Osetinsky has a unique background in both Physics, at University of Notre Dame, and Law at Temple Beasley School of Law. She filed for a patent for a laser that converges to a variable focal depth while in college, and is the inventor of IIKONO’s current three technologies. She is also the recruiter of the rest of the management team of IIKONO.
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CTO and Cofounder
Dr. Abdul Aziz got his PhD in computer science from Southern Methodist University. He was formerly Dean of Information Technology at a top technical school in Pakistan. He has a history of successfully leading software development projects, as head of R&D and software development for Palmchip. Most recently he served as CEO of the eCommerce business Intellyct
COO and Cofounder
Bobby Mannepalli is the COO and Cofounder. He studied history and communications at the University of Pennsylvania. He formerly worked in Investment banking for Distressed Mergers & Acquisitions with SSG Capital, and as the head of strategic partnerships at Narmi. He guides financial choices and how to communicate our technology.
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Managing Director
William J. O’Brien has a background in healthcare informatics and data management. A skilled relationship builder he has successfully managed portfolios of prospective clients and funding sources. William’s collaborative approach and strategic vision make him particularly effective at identifying and cultivating partnerships
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