training + prediction + scoring = smarter decisions
At pytho, we help you harness and maximize the analytical power of your organization. After years of working on the science and practice of forecasting, pytho's cofounders now deliver better foresight skills and tools to the private and public sectors.
Predictive analytics and artificial intelligence have extended our toolbox, but humans still call
the shots. We train people to become sharper through diagnostic and assistive methods and techniques.
We've developed proprietary tools – like neuerTM – and we design custom software to collect, analyze, quantify and boost the thinking and predictions that underlie your organization’s most critical decisions. Our professional experience and track record in intelligence analysis; government; media; telecoms; entertainment and intellectual property; energy; health care; and finance helps us understand and address a wide variety of industry sector challenges.
We develop software and tools for unlocking the insights of your organization and team members. One example includes neuerTM (patent pending), a bias-sensitive crowd-sourced structural analytic technique. Another includes our proprietary forecasting platform.
The technology behind these tools have undergone rigorous testing. But our product development experience allows us to provide clients with custom tool options. We have worked on applications for governments, NGOs, public and private companies.
Training. Our training modules help people hone their ability to find, verify and process information better, resulting more accurate predictions. This permits decision-makers to generate well-reasoned choices with less bias and noise.
Prediction tournaments. We make it easy to distill the wisdom of crowds inside and outside your organization.
Augmented decisions. We develop novel interfaces between humans and machines to harness the combined power of human and artificial intelligence.
THE WASHINGTON POST
is a futurist, information systems designer and technical creative director with a record of award-winning product development. As a political scientist and analyst her work assists governments and multinational organizations. Her corporate work spans the world, from Sony to Hearst to Liberty Global. Her entrepreneurial work consists of such technical advances as the creation of Blender, the world's first digital magazine. Joseph is a Good Judgment Project Superforecaster and her training protocols in forecasting and strategic foresight have become official curriculum coursework for European governments, as well as taught in such institutions as NYU. Joseph is a published author; her work has appeared in outlets including The New York Times, Forbes and Reuters, as well as in academic journals.
is a decision scientist with a product-development bent. As a post-doctoral scholar with the Good Judgment Project, he designed and evaluated technologies for improving predictions. These include cognitive training, forecast elicitation, skill assessment and statistical aggregation. His recent work has focused on the ways we update and bet on our beliefs. Pavel's research has appeared in academic and popular outlets such as Management Science and Scientific American. He has also worked on health economics and financial technology product management. Pavel holds a PhD in psychology & decision processes from the University of Pennsylvania.