You have a killer idea. We have over 80 years of combined successful experience in new ventures. Let us put it to the test, write your specs and budget it.

We are not kids. We are 40+ year old professionals that successfully went through the dotcom fever, saw the first MS Windows being advertised on TV, and registered generic top level domains before it was cool. But we are not technology hipsters. We have just accumulated a wealth of experience developing the prototypes for today's products. We can help your idea become something tangible.

If you choose to take this process a step further, we will use the Minimum Viable Product (MVP) strategy to come up with a working prototype.

In product development, the Minimum Viable Product (MVP) is a strategy used for fast and quantitative market testing of a product or product feature. The term was coined by Frank Robinson and popularized by Eric Ries for web applications.

A Minimum Viable Product has just those features that allow the product to be deployed, and no more. The product is typically deployed to a subset of possible customers, such as early adopters that are thought to be more forgiving, more likely to give feedback, and able to grasp a product vision from an early prototype or marketing information. It is a strategy targeted at avoiding building products that customers do not want, that seeks to maximize the information learned about the customer per dollar spent. "The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort." The definition's use of the words maximum and minimum means it is decidedly not formulaic. It requires judgment to figure out, for any given context, what MVP makes sense.

An MVP is not a minimal product, it is a strategy and process directed toward making and selling a product to customers. It is an iterative process of idea generation, prototyping, presentation, data collection, analysis and learning. One seeks to minimize the total time spent on an iteration. The process is iterated until a desirable product-market fit is obtained, or until the product is deemed to be non-viable.