Assignee
OLIVE SEED IND LLC
US·7 granted patents·2 pending applications·2 citations·filing 2020–2025
Top patents by PatentIndex Score
9 records- 0193US2026057421A1Methods and systems for personalizing a prospective visitor experience at a non-profit venueOLIVE SEED IND LLC·Filed 2025·Application pending·0 cites
- 0283US12265995B2Methods and systems for personalizing visitor experience and encouraging philanthropic activity as part of non-profit venue managementOLIVE SEED IND LLC·Filed 2020·Granted Apr 1, 2025·1 cites·20 claims
- 0383US12265994B2Methods and systems for developing a personalized non-profit venue experience and presenting personalized multimedia to a mobile computing deviceOLIVE SEED IND LLC·Filed 2020·Granted Apr 1, 2025·1 cites·22 claims
- 0472US12277580B2Methods and systems for personalizing visitor experience, encouraging philanthropic activity and social networkingOLIVE SEED IND LLC·Filed 2020·Granted Apr 15, 2025·0 cites·21 claims
- 0572US12265996B2Methods and systems for personalizing visitor experience at a non-profit venue using high-resolution composite photographyOLIVE SEED IND LLC·Filed 2020·Granted Apr 1, 2025·0 cites·18 claims
- 0671US12462279B2Methods and systems for personalizing a prospective visitor experience at a non-profit venueOLIVE SEED IND LLC·Filed 2020·Granted Nov 4, 2025·0 cites·20 claims
- 0771US12277581B2Methods and systems for personalizing non-profit venue referrals to a prospective visitorOLIVE SEED IND LLC·Filed 2020·Granted Apr 15, 2025·0 cites·20 claims
- 0871US12243079B2Methods and systems for personalizing visitor experience at a non-profit venue using machine learning to predict visitor sentimentOLIVE SEED IND LLC·Filed 2020·Granted Mar 4, 2025·0 cites·10 claims
- 0971US2020320592A1Methods and systems for personalizing visitor experience at a non-profit venue using machine learning to generate selection or sequence of non-profit venue location recommendationsOLIVE SEED IND LLC·Filed 2020·Application pending·0 cites
Counts cover granted patents and pending applications in the PatentIndex corpus. How scoring works →