About Us

We believe in pushing mathematical and technological progress forward.

We believe in human ingenuity and innovation.

We believe in change through decisions and actions.

We work to bring — in a flexible, transparent, intuitive, and easy-to-apply manner — the consistency and rigor of Wall Street valuation to organizations' decisions and systems that need it.
  • Data: Future e-CEO?

    Data: Future e-CEO?

  • Jaynes: Bayesian master

    Jaynes: Bayesian master

  • Edison: Innovation icon

    Edison: Innovation icon

Meet our Team

Mark Erickson

Mark Erickson

CEO and Co-founder of Provisdom, MIT math, Stanford PhD in Management Science and Engineering, MIT Blackjack Team founder.

Dave Dixon

Dave Dixon

Chief Software Architect, Treasurer, and Director of Provisdom, UCR PhD in Theoretical Physics, NASA, IBM

Kenny Williams

Kenny Williams

Senior Software Developer at Provisdom, Full Stack Developer, Specializes in UI and UX, Coding Prodigy

What we do

Measure Value
Measure Value

We are driven by the idea that improving an organization's decisions and systems measurably affects their value, their stakeholders, and the world around them.

Learn
Learn

For well over a decade, we have performed research, development, trial-and-error, studies, pilot projects, and consulting engagments.

Invent and Innovate
Invent and Innovate

We have created proven math, models, algorithms, and software products that apply and extend practices across multiple disciplines (probability, information, economic, decision, optimization, and finance).

Help Others
Help Others

We have helped both private companies and some of the world's largest corporations who share our beliefs work through their toughest problems, make better decisions, and increase their shareholder value significantly.

Our Modeling Principles

Inclusive, Flexible, and Analytical
Inclusive, Flexible, and Analytical

Analyze decisions and include all available relevant information, even when incomplete or imperfect, from both people and internal and external data.

Consistent and Accurate
Consistent and Accurate

Accurately reflect probabilistic learning, dynamics, and financial market risk.Value every modeled choice occuring at various future times in a manner consistent with all financial market data.

User-friendly
User-friendly

Create tools to build and explore models transparently, intuitively, quickly, and easily.Think and work in the natural world with natural discount rates, as opposed to the artficial risk-neutral world favored by financial theorists.