Durch die Kombination von Fachkenntnissen in lokalen IP-Verfahren mit dem Leistungsumfang eines weltweiten Full-Service-Anbieters ist die Dennemeyer Group Ihr Partner für das Management des geistigen Eigentums, egal wo Sie Geschäfte tätigen.
The context
Escalating disclosure volume
The annual influx of more than 100 invention disclosures required rigorous evaluation of IP value and market readiness. However, manual assessment methods could no longer sustain and deliver the required precision or speed.
Time-intensive prior art searches
Conventional Boolean searches consumed valuable hours. The team often had to improvise with query strings to learn the nuances of building an effective prior art search, which slowed progress and reduced responsiveness to inventors.
Continuous training cycles
Student researchers contributed to evaluations, but each semester brought a new learning curve. The constant rotation reduced efficiency and delayed the delivery of results.
Competing portfolio priorities
Licensing managers balanced disclosure assessments with the ongoing management of existing technologies. The strain made it challenging to sustain the same level of strategic oversight across their portfolios.
SUNY RF required a solution that could elevate the quality of its prior art searches while restoring operational agility. The goal was not only to shorten evaluation cycles but to equip staff and students with an artificial intelligence (AI) system that produced more relevant insights with minimal training and administration.
Our approach
Step 1: Redefining the search experience
SUNY RF adopted Octimine, an AI-driven patent intelligence platform designed to understand language, not just syntax. By augmenting Boolean logic with semantic search, the technology transfer office achieved more precise and relevant results from natural text. The team noted that the motivating factor was realizing they could achieve even better results without having to fully flesh out a search or the nuances of Boolean search, explaining they could simply input text and obtain equal or better outcomes.
Step 2: Building real-time collaboration
Through shared project workspaces, licensing managers and student analysts could collaboratively examine and refine search results. This transparency improved quality control and minimized duplication of effort.
Step 3: Integrating intelligent automation
With IPMS connectivity, Octimine enabled searches to begin automatically upon disclosure submission, reducing delays between intake and evaluation. After a year of use, assessments move faster and more decisively, with “thumbs-up or down” decisions made within weeks and portfolio triage handled far more efficiently.
Step 4: Exploring monitoring for enforcement.
Building on this progress, SUNY RF is preparing to use Octimine’s monitoring and watchlist features to strengthen oversight of granted patents. Having already succeeding in green-lighting patents with strong potential for claims, the office is ramping up efforts to track similar technologies, identify potential overlaps and explore enforcement opportunities as part of its expanding IP management strategy.
The adoption of Octimine transformed how SUNY RF evaluates innovation. Assessment cycles that once stalled under administrative pressure now advance swiftly and decisively. The platform's intuitive design reduced onboarding time for student researchers, while its search precision elevated the confidence of licensing managers.
Octimine has since become an integral part of SUNY RF’s operations. Each new disclosure begins its life cycle within the system, ensuring that evaluations are both data-driven and delivered with professional consistencY,
With Octimine, prior art searches are faster and more reliable than ever. It’s become an essential tool in our day-to-day workflow.
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