Home  Contact Us  Search  Site Map  Downloads  Careers

Mission Statement
Vision
History

Introduction

How much time and money do you think companies spend agonizing over decisions because they cannot afford to pay for mistakes – or worse yet, they fail to make a timely decision or even to make a decision altogether? All too frequently the justification for a decision ends up being a gut feeling, a hunch, a temporary fix, the status quo, or the addition of a 30% safety factor to past estimates. In an increasingly competitive marketplace, today’s companies should be very uncomfortable with such an uncertain approach to decision-making and the often unexpected and damaging results.

PredictionProbe is a predictive technology software solutions provider whose proven Probabilistic Technology allows companies to make faster, more accurate, more consistent, and more informed business decisions – that directly impact their bottom line. We have developed a way to systematically quantify and analyze the uncertainties that are inherent in decision-making related to business management, so that decisions are made more confidently, efficiently, consistently and accurately. Our predictive technology does not provide a right or wrong answer. It identifies the probability that a result will be the “right” answer – using techniques thought by many to be the way our brains constantly weigh uncertainties while making decisions. Six Sigma technology and programs, pioneered by Motorola and perfected by General Electric, are basic applications of Probabilistic Technology. GE credits Six Sigma with over $5 Billion in cost savings to date. Most major companies have adopted a Six Sigma approach to business management.

Our business is business – and the decisions that go into maximizing business success. We are leveraging our core technology to enter a number of large, untapped, and rapidly growing markets. These markets include the majority of the world’s leading businesses, operating in multiple industries such as real estate, insurance, engineering, telecommunications, wireless technology, financing, investment markets, biotechnology, manufacturing, transportation, medical, e-commerce and many others. Using our software applications and tools, companies can quickly and accurately:

bullet

  Establish valuations for commercial and residential property.

bullet

Score and rate credit, loans or portfolios (e.g. mortgage or investment.)

bullet

 Establish valuations for insurance claims and estimate losses.

bullet

Develop wireless communications signal optimization and routing.

bullet

Optimize telecommunications and network load distribution, rate maximization, speed and resources.

bullet

Analyze and perform biotech research with improved speed and accuracy.

bullet

Generate and optimize pricing and program models in multiple industries.

bullet

 Predict financial results including revenues, costs and staffing requirements, given uncertainties such as demand for products and services that normally effect these estimates.

bullet

Streamline manufacturing processes.

bullet

Allocate resources for national wilderness fire management.

bullet

Create and enhance computer software in order to achieve the goals never realized by artificial intelligence such as voice, handwriting and visual recognition, search engines, and “smart” operating systems.

bullet

Direct, schedule and predict bus, train, airline and other traffic, including least cost routing analysis for the transportation industry.

bullet

Establish valuations for stocks, options or futures while projecting their movements and fluctuations.

bullet

Optimize e-commerce including customer relationship management (CRM) models, distribution channels, strategic and enterprise marketing.

bullet

Optimize data manipulation and knowledge management resources.

These are just a sampling of the unlimited application and horizontal potential of Probabilistic Technology that PredictionProbe has harnessed and can seamlessly integrate into a company’s financial, Information Technology and other information or knowledge management systems. From Wall Street and the world’s largest technology-driven companies to the local multi-state franchise, PredictionProbe’s software products focus on maximizing profits and removing costs from processes and business models, while adding to the bottom line a minimum 5% savings, and in many cases, much more.

In the future, PredictionProbe plans to evaluate the development of software that encompasses all of the above-referenced applications and many more. Currently, we have completed the development of UNIPASS™ – our extremely advanced core software engine that is based on our predictive technology and performs the complex calculations necessary to generate highly accurate results and answers for virtually any identified problem, process, event or model. UNIPASS™ is the main component of all the software applications listed above. In addition, UNIPASS™ is a large part of our competitive advantage, because UNIPASS™ has no equal. No other predictive software technology even comes close. PredictionProbe’s Engineering Division is continuously enhancing UNIPASS™ and developing other applications for small and mid-market engineering companies, based on our software engine.

Although PredictionProbe’s roots are grounded in the engineering industry, where our predictive technology was originally conceived and developed, we are not an engineering company. Many would consider engineers to be professionals who excel in performing the calculations necessary to design a jet engine. They may not think of engineers supporting executives who are evaluating traditional business issues such as estimating revenue or analyzing pricing models. At PredictionProbe, we have bridged the gap between complex mathematical analysis in the engineering industry and the day-to-day decisions made by the world’s leading companies.

Mission Statement ] Vision ] History ]

Last Updated 12/18/06

Send mail to info@predictionprobe.com with questions or comments about this web site.
Copyright © 2001-2004 PredictionProbe, Inc.