Explore Invest

Develop Repeat

Our Origin

EINDEVR started as a project to design an ecosystem that can support data initiatives of all types. It has since expanded to support individuals and teams in realizing their most ambitious goals, grounded in the belief that meaningful results come from a cycle of exploration, commitment, and reinvention. 

"Explore, Invest, Develop, Repeat" is more than a tagline—it’s a philosophy for continuous growth and discovery. 

We’re here for those willing to dive deep, take risks, and revisit ideas with new perspectives. Free from external pressures and unencumbered by rigid policies, EINDEVR empowers clients to pursue their inquiries authentically and boldly. 

If you’re ready to push the boundaries of understanding, EINDEVR is here to help you every step of the way.

Meet the “Data Therapist”

- Jon Baynes (Founder)

Jon founded EINDEVR to bring context to the way data is collected, processed, analyzed, and distributed. After over 17 years of working with data at several capacities, he found himself drawn to the humanities and social sciences.

“With EINDEVR, I want to accomplish two things I believe are critical to designing and deploying intelligent systems: Understanding our relationship to the data and or relationship to the processes, including algorithms, that produce the data products we use. ”

A veteran of the U.S. Army, Jon served as an intelligence analyst from 2005 to 2009, receiving multiple awards and commendations for his service. Since then, he has been a consultant for the Department of Defense, Fortune 500 Companies, and leading academic institutions.

Jon holds a M.S. in Data Science from the University of Virginia School and a B.S. in Information Systems & Technology from Old Dominion University.

EINDEVR Specialties

Explore our Services page to see our full suite of capabilities

Data Visualization

Collaboratively craft clear, compelling visuals that transform your data into accessible, impactful human-first stories.

Data Science & Engineering

Design and implement scalable data pipelines and models, leveraging sustainable techniques to drive insights and innovation.

Data Platform Design & Selection

Finding or developing the right mix of tools required to achieve your desired goal. These could be commercial out of the box solutions, custom, or a mix of both.