Technology Landscape — Domain Studies

Technology Landscape — Engineering Meets Strategy

At Bullseye, every analytics engagement begins with a clear understanding of your specific strategic question — not a generic dashboard of patent metrics. We work backward from what you need to decide to identify which data and analysis will genuinely inform that decision.

Our engineering background ensures that technical patent analysis — understanding what claims actually cover, which patents are genuinely strong versus superficially broad, which prior art renders cited patents vulnerable — is grounded in domain knowledge, not just bibliometric scoring. A patent with 200 forward citations is not necessarily more valuable than one with 20, if the 200 citations come from examiners citing it as blocking art in competitor applications rather than from practitioners building on the technology.

How We Approach Technology Landscape

We combine systematic patent data analysis with technical claim evaluation — the two inputs that together determine what patent assets are genuinely worth and how they should be positioned strategically. Raw metrics (filing dates, citation counts, geographic coverage) provide the quantitative framework; engineering-level claim evaluation provides the qualitative insight that determines which metrics matter for your specific assets and context.