Private Equity Accounting System

A prominent private equity firm had difficulties with recording and reporting values in their portfolio owned by their various collections of partners.  When the business was small, off the shelf software was adequate to do the task, but as the number and caliber of the deals increased, along with the number of partners, it became more and more complicated, and difficult to control.

Medical Billing Software

We were hired by a small company in northern NJ back in 1995, who had a business doing medical billing for a few ambulatory surgery centers, their doctors, and anesthesiologists.  At the time they were using a small Paradox database originally designed for Windows 3.1.  The system was inadequate for their business the, which was grossing a little less than $2 million a year.

Enterprise-wise Budgeting and Forecasting System

A leading American operator of amusement parks had a need for controlling cash and inventory for their many disparate profit centers.  At the time, they had 12 parks, with each park having multiple departments, such as rides, restaurants, gift shops , and even down to the individual hot dog stands.  While each profit center had it own P&L, they were grouped and had common inventory and purchasing.  For instance, each park might have a few dozen hot dog stands, but they ‘bought’ inventory from a common supplier, and had their aggregate profits ‘rolled up’ at the end of the period.
The company had been using spreadsheets that the local centers willed out and then forwarded to corporate for consolidation.  The problem with that was it entailed a lot of manual effort, and invariably ran into issues when new line items or new centers were added – events which occurred multiple times a week.

Robotics Software

The GAGE Robot

We partnered with a NJ engineering firm to design a robot for one of the leading firms in the semi-conductor manufacturing industry.  That company made high definition automated cameras which examined the crystalline structure of silicon wafers to detect imperfections in the manufacturing process.  There were issues with the speed of the process in that the camera could do their work much faster than the wafers could be delivered to and received from the cameras.  The task was complicated by very precise requirements on the way the wafers were presented to the cameras, and the fact that there were different size wafers used in the process to which the robot needed to be agnostic.