Historically, commercial use of university research has been viewed in terms of spillovers. Recently, there has been a dramatic increase in technology transfer through licensing as universities attempt to appropriate the returns from faculty research. This change has prompted concerns regarding the source of this growth—specifically, whether it suggests a change in the nature of university research. (Thursby 2002) ^ University-based firms are receiving growing interest from policy makers and researchers. Such firms obtain a variety of tangible and intangible resources from their academic partners, and are expected to translate these advantages into substantial gains. (Bonardo 2011) ^Technology transfer is a big concern for universities, how can they identify business opportunities from IP developed? We have created relationships with universities to help them do just that. Contact us to learn more.

"Reputation management is an important factor in attracting partners and external funding. From interviews with CEOs and CTOs of nine large industrial and publicly funded firms, we have a clear indication that a corporate R&D lab's well-managed reputation has a direct impact on the firm's brand value. In other words, corporate research labs should not be measured only by their technological outcome, but also by the impact they have on a firm's brand value," according to Gassman et al., 2009, Research Technology Management, "R&D Reputation and Corporate Brand Value." The tools IP Street offers will help you identify (1) patents that significantly influence your brand (2) why the patents are significant (3) Internally communicate what, why, and how a patent influences brand to get executive-level buy-in and (4) Communicate to your customers what, why, and how to further develop the brand's impact.

The competitive landscape can be brutal, and commonly is referred to as the Red Ocean--you know, blood in the water with sharks lurking about (yeah, a few lawyer jokes come to mind, but I will restrain myself). Research at Harvard Business Review and elsewhere suggests that the most profitable business strategies are related to finding and/or creating Blue Ocean to reap rewards in a new space. How does that relate to studying patent data? Simple. You first need to understand what patents already exist in the invention-space. Second you need to understand and articulate how your invention is unique. Next you need to write your patent so it makes as many unique and new claims as it possibly can. Then you need to consider all possible opportunities to secure and expand your space. In IP lawyer-speak, this means that your invention needs to have a valid legal scope. If you find out, using our tools, that your invention is in a very competitive space (sharks in the bloody ocean), you may want to forego the costs associated with pursuing patent protection. IPstreet.com can help by searching millions of patents and simplifying the complexities of the data into an intuitive "scatter plot" that identifies your idea in context of the universe of patents and patent-pending applications. Ultimately, we can provide important business intelligence from the immense and excessive information available. Our goal is to take TMI (too much information) and report it to you which will better inform your business decisions. If you are searching for questions such as, "how to patent my idea, " or "how to patent my idea," then you've come to the right place. IPStreet.com's patent search tools are designed with you in mind. Using the patent search software, you can better understand how to patent your invention or patent idea, patent duration and find an experienced patent lawyers.

In order to develop IP Street, a team with diverse talent has been assembled. Our founders, Lewis Lee, Art Coffey, and Rick White represent the heart of IP Street. As a patent attorney, Lewis has seen a need for IP-intelligent tools to help people in their business endeavors; in fact, Lewis co-authored Managing Intellectual Property Rights to meet this need. After co-founding his law firm Lee & Hayes in Spokane with another entreneurial attorney, Dan Hayes, Lewis has interacted with a lot of inventors who specialize in information-systems technologies. He has also counseled executives, boards, and financial professionals on IP strategies and how to leverage IP for business purposes. His desire to help people understand the importance of IP assets within his IT-steeped environment sparked Lewis to an idea that has become IP Street. Simply stated, Lewis sought to create a company that utilizes cutting-edge analytics technologies to simplify the complexities of IP analytics and provide transparent, intuitive, and meaningful IP intelligence that business people can understand. To make this idea go, he surrounded himself with people who have been successful in the business world. Art had enjoyed a long and successful business career, serving in roles of CFO, Presiden, and CEO of a NYSE-traded company. Art's business experience brought a perspective of how business strategists and executives think. Rick, a trained corporate attorney, has also enjoyed success in the political arena, having served in the US Congress for the high-tech district of Washington State that encompasses Microsoft. Rick brought a public policy dimension to the formative years of IP Street, allowing us to better understand the societal needs for an innovation driven economy. Details of this team can be accessed at: The IP Street Team.

How can you separate "marketing fluff" from a true "value proposition" in this world of TMI (too much information)? This is not an easy question to answer, and we don't claim we have some magic crystal ball. We do, however, believe that our patent search tools are designed in such a way as to provide objective and transparent results to allow you to Discover, Measure, Compare, and Connect business opportunities. Many patent analytics tools are available. So what makes us different? Simple. We take the complexities and reduce them to meaningful visualizations. We take the complex legalese and simplify it to interpretable business intelligence to better understand the analytics of it.