Are off-the-shelf tools failing your unique workflows? We combine deep analytics, high-performance computing, and AI to engineer scalable pipelines and simulations tailored to your most complex enterprise challenges.
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We bridge the gap between deep scientific research and scalable enterprise software. If you are a decision-maker tackling complex technical hurdles, we are your specialized strike team.
Struggling to scale legacy pipelines or implement High-Performance Computing? We engineer robust C++/Python architectures and containerized DevOps workflows (Docker/GitHub Actions) that eliminate processing bottlenecks.
Need to model complex policies or rapid epidemic scenarios? We build scientifically rigorous Agent-Based Models and large-scale simulations trusted by federal agencies to drive high-stakes policy decisions.
Are off-the-shelf AI tools failing your specialized use cases? We deploy bespoke ML pipelines, mechanistic machine learning models, and local LLM workflows (Ollama) tailored exactly to your proprietary data domain.
Founded by George G. Vega Yon, Ph.D., Vega Yon Analytics brings over 15 years of experience in high-performance computing, large-scale simulations, and AI-driven engineering.
Our distinct advantage lies in a broad, multidisciplinary foundation. With formal training spanning Business Management, Economics, Public Policy, Statistics, and AI, we don't just write code—we understand the structural, economic, and strategic implications of the software we build for your organization.
We specialize in creating personalized, tailored software and analytic tools using the latest advancements in data science, ML, and AI.
Development of high-performant, production-ready software packages (R/Python/C++) and bespoke analytic tools designed specifically for your stakeholders.
Integration of emerging AI-driven approaches, creating intelligent agents and machine learning pipelines that automate workflows and generate insights.
Design of large-scale simulations, network modeling, and scalable cloud/HPC workflows tailored for intensive computational demands.
Expert advisory for academic groups, federal agencies, and private companies on advanced analytics, modeling, and software infrastructure.
Deployment of robust software engineering infrastructure, including containerized workflows, reproducible environments, and scalable data pipelines.
We deliver tangible outcomes for high-stakes environments, from predicting network failures in global mines to modeling public health responses for major world events.
Partnered with US public health agencies to run advanced Agent-Based Modeling (ABM) "what-if" scenarios across major metropolitan host cities, ensuring robust outbreak preparedness ahead of the World Cup.
View RepositoryPublished extensively in top-tier journals on topics ranging from exponential random graph models to mechanistic machine learning. Developed novel statistical methods for integrating multi-omic data and modeling complex systems.
View Google ScholarEngineered outlier detection models for government regulators in the casino industry, and designed complex agent-based simulations to estimate unemployment insurance usage for the Chilean government.
Read PublicationWe have a proven track record of leading technical teams and delivering solutions for top-tier organizations. From building epidemic models for federal agencies to actively training the next generation of data scientists.
Centers for Disease Control and Prevention (CDC), Booz Allen Hamilton
Trained 500+ data scientists across corporate bootcamps, graduate courses, and specialized workshops. View academic profile.
Creator of statistical software widely used across industries, with over 1M+ downloads globally.
Stop settling for off-the-shelf tools that don't fit your enterprise. Book a discovery call to discuss how custom AI, simulations, or specialized data pipelines can solve your hardest challenges.