PLATFORM
Enterprise Engineering
Core stack
C#, .NET, Microsoft Azure, SQL Server, Blazor, Clean Architecture, APIs, and distributed services—the foundation on which the working POLOXI.ai prototype is built.
THE TEAM
From concept to working prototype—
engineered by 26 years of enterprise experience.
PRINCIPAL ARCHITECT & DEVELOPER
POLOXI.ai is the work of Nelson Castillon, a Senior Software Engineer with a B.S. in Computer Science and more than 26 years of experience in software development spanning Insurance, Healthcare, E‑Commerce, Marketing, Digital Advertising, and Custom Software Development.
26+ YEARS ENTERPRISE SOFTWARE•B.S. COMPUTER SCIENCE•SENIOR SOFTWARE ENGINEER•CROSS-INDUSTRY
EXPERIENCE & EXPERTISE
Enterprise depth.
Cross-industry breadth.
His experience includes designing and developing enterprise software using C#, .NET, Microsoft Azure, SQL Server, Blazor, Clean Architecture, APIs, distributed services, enterprise workflows, search, document intelligence, and AI-assisted business applications.
INTELLIGENCE
AI-Assisted Systems
Applied capability
Enterprise workflows, search, document intelligence, and AI-assisted business applications—the same capabilities POLOXI.ai orchestrates under a reasoning-control layer.
INDUSTRIES
Six Verticals
Domain reach
Insurance, Healthcare, E-Commerce, Marketing Campaigns, Digital Advertising, and Custom Software development—direct exposure to heterogeneous enterprise vocabularies and rules.
WHY IT MATTERS
Cross-industry experience is
the commercialization strategy.
Castillon is the principal architect and developer of the working POLOXI.ai prototype. His cross-industry experience directly supports the project's commercialization strategy because POLOXI.ai is designed to operate across heterogeneous enterprise vocabularies, evidence sources, business rules, and workflows rather than a single vertical.
THE ORIGIN INSIGHT
POLOXI.ai originated from enterprise intelligence development and an insight inspired by the Filipino reasoning game Pinoy Henyo: begin with a broad possibility space, ask increasingly valuable questions, expand possibilities, and repeat until sufficient evidence supports convergence.
PHASE I READINESS
Beyond concept.
Into experimentation.
The prototype has progressed beyond concept and implements the principal mechanisms required for Phase I experimentation. Castillon will lead architecture, implementation, experimentation, and technical validation. Specialized statistical/ML evaluation and commercialization expertise will be added as needed to address team gaps.
LEADS
Architecture & Build
Nelson Castillon
Architecture, implementation, experimentation, and technical validation of the POLOXI.ai reasoning-control engine.
PLANNED
Statistical / ML Evaluation
Specialized expertise
Statistical and machine-learning evaluation expertise will be added as needed to strengthen experimental rigor.
PLANNED
Commercialization
Go-to-market expertise
Commercialization expertise will be added as needed to address team gaps and accelerate cross-industry adoption.