Trusted services

Organizations evolve through data, intelligence, and innovation.

Data Evolution delivers AI, data engineering, infrastructure optimization, and research services that help organizations solve complex problems and create lasting impact.

Architecture

Services

Technical depth with business impact.

We combine research, systems thinking, and practical implementation to help organizations move from ideas to production.

AI & LLM Integration

Enterprise AI adoption, workflow automation, prompt engineering, and intelligent application development.

Data Engineering

Modern analytics pipelines, scalable data platforms, dashboards, and trusted operational reporting.

Systems Optimization

Benchmarking, infrastructure tuning, performance analysis, and high-performance technical prototyping.

Research & Analytics

Applied research, forecasting, experimentation, supply chain analytics, and decision-support models.

Selected impact

Built on practical experience.

$110M+ inventory optimized
$1B manufacturing facility analytics
8+ years of data science experience
Mark Doughten portrait

About the Principal, Technology

Mark Doughten

Mark Doughten started Data Evolution in May, 2020, a research firm focused on improving the well-being of people and communities around the world.

He earned a B.Sc. in Business Administration with a concentration in Finance from The College of New Jersey, a B.Sc. in Computer Science from Oregon State University, and an M.S. in Computer Science from Rutgers University.

His specialties span AI systems, data science, data engineering, benchmarking, infrastructure, supply chain analytics, and applied research.

Dylon Patel portrait

About the Principal, Healthcare

Dylon Patel

Dylon Patel joined Data Evolution in August, 2025 as Principal, Healthcare.

He earned a B.Sc. in Biology from The College of New Jersey, an M.B.A. with a concentration in Healthcare Administration from Seton Hall University, and a M.D. from Hackensack Meridian School of Medicine.

His specialties include diabetes, clinical research, healthcare administration, discretionary spending allocation, and standardized guideline development at the corporate level.

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