Meet the Minds Behind Innovation

We're a small but dedicated team of AI specialists who believe that smart decision-making shouldn't require a computer science degree. Our approach combines deep technical expertise with real-world business experience.

AI Architecture

Darren Culbertson

Senior AI Systems Architect

Darren spent eight years at Microsoft working on predictive analytics before joining us in 2023. He has this unusual ability to explain complex algorithms using everyday examples. What sets Darren apart is his background in both enterprise software and small business consulting. After leaving Microsoft, he worked with over 50 local businesses in Seattle, helping them understand which decisions actually matter for growth. He discovered that most business owners were drowning in data but starving for actionable insights. That experience shaped his philosophy: AI should make decisions clearer, not more complicated.

Predictive Modeling Business Intelligence Python Azure ML

ML Strategy

Vivian Thorne

Machine Learning Strategy Director

Vivian brings a unique perspective from her background in cognitive psychology and data science. She holds a PhD from Stanford and has published research on decision-making biases. Before entering tech, Vivian studied how people make decisions under pressure. Her research at Stanford focused on why smart people often make predictable mistakes when analyzing data. This background proves invaluable when designing AI systems that actually help rather than overwhelm users. She joined our team because she believes AI should complement human intuition, not replace it. Her approach involves understanding the psychology behind business decisions first, then building tools that support better outcomes.

Cognitive Science TensorFlow Decision Theory Research

Our Collective Impact

Since launching in 2024, we've focused on quality over quantity. Rather than chasing large numbers, we work closely with businesses and individuals who want to understand AI's practical applications. Our small team structure allows us to maintain close relationships with everyone in our community. We measure success differently - it's not about how many people sign up, but about how many actually apply what they learn to make better decisions in their work.

127 Active Community Members

18 Months of Research

340+ Hours of Content Created

What Drives Us Forward

We believe AI should make business decisions clearer and more confident, not more complicated.

Our Vision

We see a future where small businesses and individual professionals have access to the same decision-making tools that large corporations use. AI shouldn't be limited to companies with million-dollar budgets and teams of data scientists. Good decisions come from understanding patterns in your data, and that understanding should be accessible to everyone.

How We Work

We focus on practical education rather than theoretical concepts. Every course we develop starts with real business challenges that our community members face. We test our approaches with actual companies before turning them into learning materials. Our goal is to help people become more confident decision-makers, whether they're choosing marketing strategies, hiring decisions, or investment opportunities.