Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19194538 | APPARATUS AND METHOD FOR GENERATING AN INGREDIENT CHAIN | April 2025 | March 2026 | Allow | 10 | 0 | 0 | Yes | No |
| 19193590 | AI-DRIVEN QUERY GENERATION SYSTEM | April 2025 | February 2026 | Allow | 10 | 0 | 0 | No | No |
| 19192180 | REAL-TIME IDENTIFICATION OF FACT HALLUCINATIONS IN ARTIFICIAL INTELLIGENCE (AI) | April 2025 | March 2026 | Allow | 10 | 0 | 0 | Yes | No |
| 19066993 | SYSTEMS AND METHODS FOR GENERATING EXPLAINABLE FEATURES FOR MACHINE LEARNING | February 2025 | December 2025 | Allow | 10 | 0 | 0 | No | No |
| 19059302 | METHOD AND A SYSTEM FOR FEEDBACK FILTERING IN A MACHINE LEARNING MODEL | February 2025 | November 2025 | Allow | 9 | 0 | 0 | No | No |
| 18972857 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR PROCESSING INFORMATION | December 2024 | October 2025 | Allow | 11 | 0 | 0 | No | No |
| 18951513 | SYSTEM AND METHOD FOR REGULAR UPDATES TO COMPUTER-FORM FILES | November 2024 | October 2025 | Allow | 11 | 0 | 0 | No | No |
| 18906118 | SMART DATA SIGNALS FOR ARTIFICIAL INTELLIGENCE BASED MODELING | October 2024 | January 2026 | Allow | 16 | 1 | 0 | No | No |
| 18741848 | METADATA DRIVEN DATA PROCESSING PIPELINES | June 2024 | June 2025 | Allow | 12 | 1 | 0 | No | No |
| 18665126 | TECHNIQUES FOR AUTOMATED QUERY RESPONSE DETERMINATION USING A HYBRID ARTIFICIAL INTELLIGENCE (AI) MODEL | May 2024 | June 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18634565 | TECHNIQUES FOR EFFICIENT DATA CATEGORIZATION | April 2024 | November 2025 | Allow | 19 | 0 | 0 | No | No |
| 18626139 | SMART PERSISTENCE OF MODEL FOR EFFECTIVE PREDICTIONS AND UPDATES | April 2024 | October 2025 | Allow | 18 | 0 | 0 | No | No |
| 18420512 | PERFORMING MULTITASK MODEL TUNING AT EDGE LOCATIONS | January 2024 | January 2026 | Allow | 24 | 0 | 1 | Yes | No |
| 18544666 | DISTRIBUTED DATA PROCESSING | December 2023 | September 2025 | Allow | 21 | 1 | 0 | No | No |
| 18468496 | Hybrid Classical-Quantum Unsupervised Multiclass Classification | September 2023 | October 2025 | Allow | 25 | 2 | 0 | Yes | No |
| 18219676 | DATABASE INDEXING, RANKING, AND OPTIMIZATION SYSTEMS FOR ONLINE QUERIES | July 2023 | April 2025 | Abandon | 22 | 1 | 0 | No | No |
| 18271040 | INFORMATION PROCESSING APPARATUS, ADJACENT NODE SELECTING METHOD AND PROGRAM | July 2023 | June 2025 | Allow | 23 | 2 | 0 | No | No |
| 18039640 | METHOD AND SEARCH PLATFORM APPARATUS FOR PROCESSING SEARCH QUERIES DIRECTED AT A DATABASE CONTAINING MEDICAL SAMPLE DATA AND/OR SAMPLES | May 2023 | February 2026 | Allow | 33 | 3 | 0 | No | No |
| 18309025 | Generating Custom Audio Content for an Exercise Session | April 2023 | March 2026 | Allow | 34 | 2 | 0 | No | No |
| 18133899 | COMPUTER-IMPLEMENTED SYSTEM AND METHOD FOR UPDATING USER INTEREST PROFILES | April 2023 | June 2025 | Allow | 26 | 3 | 0 | Yes | No |
| 18174801 | STREAMING DATA CONTEXTUALIZATION FOR INDUSTRIAL ASSETS | February 2023 | October 2025 | Allow | 32 | 0 | 0 | No | No |
| 18162389 | UNIFIED DATA SIDE PANEL | January 2023 | February 2026 | Allow | 36 | 2 | 0 | No | No |
| 18018858 | METHOD FOR TRAINING VECTOR MODEL AND GENERATING NEGATIVE SAMPLE | January 2023 | October 2025 | Allow | 32 | 0 | 0 | No | No |
| 18156064 | FEATURE SELECTION IN VERTICAL FEDERATED LEARNING | January 2023 | October 2025 | Allow | 33 | 0 | 0 | No | No |
| 17936804 | SHARE POOLS FOR SHARING FILES VIA A STORAGE SERVICE | September 2022 | March 2026 | Allow | 42 | 2 | 0 | Yes | No |
| 17893620 | PREDICTING QUBIT ANOMALIES BASED ON UTILIZATION HISTORY | August 2022 | January 2026 | Allow | 41 | 2 | 0 | No | No |
| 17664139 | TECHNIQUES FOR DISCOVERING DATA STORE LOCATIONS VIA INITIAL SCANNING | May 2022 | February 2026 | Allow | 45 | 3 | 0 | No | No |
| 17445193 | HASH BASED FILTER | August 2021 | March 2026 | Allow | 55 | 4 | 0 | No | No |
| 17145769 | REDUCED DOWNTIME FOR DATABASE MIGRATION TO IN-MEMORY DATABASE | January 2021 | April 2025 | Allow | 51 | 4 | 0 | Yes | Yes |
| 16681890 | AUTOMATED FILE MERGING THROUGH CONTENT CLASSIFICATION | November 2019 | August 2021 | Allow | 21 | 1 | 0 | Yes | No |
| 16455463 | CUSTOMIZED SEARCH | June 2019 | April 2021 | Allow | 22 | 1 | 0 | No | No |
| 15776053 | FACILITATING DISCOVERY OF INFORMATION ITEMS USING DYNAMIC KNOWLEDGE GRAPH | May 2018 | March 2021 | Allow | 34 | 1 | 0 | No | No |
| 15979075 | METHODS AND APPARATUS FOR AUTOMATIC DATABASE FAILOVER IN A MASTER-REPLICA REPLICATION CONFIGURATION | May 2018 | July 2021 | Allow | 38 | 2 | 0 | No | No |
| 15801196 | APPARATUS, SYSTEM, AND METHOD FOR MAINTAINING A CONTEXT STACK | November 2017 | January 2020 | Allow | 26 | 1 | 0 | No | No |
| 15478014 | AUTOMOTIVE FITMENT VALIDATION SYSTEM AND METHOD | April 2017 | March 2020 | Allow | 35 | 1 | 0 | No | No |
| 14535069 | APPARATUS, SYSTEM, AND METHOD FOR MAINTAINING A CONTEXT STACK | November 2014 | July 2017 | Allow | 33 | 3 | 0 | No | No |
| 14532713 | METHOD AND SYSTEM FOR PROVIDING STORAGE CHECKPOINTING TO A GROUP OF INDEPENDENT COMPUTER APPLICATIONS | November 2014 | May 2016 | Allow | 18 | 1 | 0 | No | No |
| 14294515 | GENERATING DESCRIPTIONS OF MATCHING RESOURCES BASED ON THE KIND, QUALITY, AND RELEVANCE OF AVAILABLE SOURCES OF INFORMATION ABOUT THE MATCHING RESOURCES | June 2014 | November 2015 | Allow | 17 | 2 | 0 | Yes | No |
| 13779420 | OBJECT-BASED INFORMATION STORAGE, SEARCH AND MINING SYSTEM | February 2013 | August 2015 | Abandon | 29 | 1 | 0 | No | No |
| 13743849 | DISCLOSURE RANGE DETERMINATION METHOD, DISCLOSURE RANGE DETERMINATION APPARATUS, AND MEDIUM | January 2013 | May 2017 | Allow | 52 | 2 | 0 | No | No |
| 13657271 | SYSTEM AND METHOD FOR OPTIMIZING DATA RECOVERY IN A PARALLEL DATABASE | October 2012 | May 2017 | Allow | 55 | 6 | 0 | No | No |
| 13523217 | MODELING DATA EXCHANGE IN A DATA FLOW OF AN EXTRACT, TRANSFORM, AND LOAD (ETL) PROCESS | June 2012 | April 2014 | Allow | 22 | 3 | 0 | Yes | No |
| 13361455 | SYSTEMS AND COMPUTER PROGRAM PRODUCT FOR COST ESTIMATION USING PARTIALLY APPLIED PREDICATES | January 2012 | September 2013 | Allow | 19 | 2 | 0 | Yes | No |
| 12734859 | SCALABLE ASSOCIATIVE TEXT MINING NETWORK AND METHOD | August 2010 | November 2012 | Allow | 30 | 2 | 0 | No | No |
| 12837021 | CONSTRAINED NONNEGATIVE TENSOR FACTORIZATION FOR CLUSTERING | July 2010 | February 2013 | Allow | 31 | 1 | 0 | No | No |
| 12834879 | METHOD AND APPARATUS FOR MOBILE DATA COLLECTION AND MANAGEMENT | July 2010 | April 2014 | Allow | 45 | 4 | 0 | Yes | No |
| 12649584 | Optimized Partitions For Grouping And Differentiating Files Of Data | December 2009 | May 2014 | Allow | 53 | 4 | 0 | No | Yes |
| 12649688 | Stopping Functions For Grouping And Differentiating Files Based On Content | December 2009 | September 2014 | Allow | 56 | 4 | 0 | No | No |
| 12494867 | BUSINESS INTELLIGENT ARCHITECTURE SYSTEM AND METHOD | June 2009 | June 2015 | Allow | 60 | 7 | 0 | No | No |
| 12398959 | Systems and Methods for Managing Queries | March 2009 | August 2014 | Allow | 60 | 4 | 0 | No | No |
| 12344132 | RAPID ITERATIVE DEVELOPMENT OF CLASSIFIERS | December 2008 | May 2014 | Allow | 60 | 4 | 1 | No | No |
| 12261075 | METHODS OF COST ESTIMATION USING PARTIALLY APPLIED PREDICATES | October 2008 | September 2011 | Allow | 34 | 2 | 0 | Yes | No |
| 12191727 | SYNTHESZING INFORMATION-BEARING CONTENT FROM MULTIPLE CHANNELS | August 2008 | January 2011 | Allow | 29 | 0 | 0 | Yes | No |
| 12181908 | ALGORITHM FOR UPDATING XML SCHEMA REGISTRY USING SCHEMA PASS BY VALUE WITH MESSAGE | July 2008 | May 2016 | Allow | 60 | 3 | 0 | No | Yes |
| 12172165 | GENERATING DESCRIPTIONS OF MATCHING RESOURCES BASED ON THE KIND, QUALITY, AND RELEVANCE OF AVAILABLE SOURCES OF INFORMATION ABOUT THE MATCHING RESOURCES | July 2008 | January 2014 | Allow | 60 | 4 | 0 | Yes | Yes |
| 12051518 | DATA MANIPULATION COMMAND METHOD AND SYSTEM | March 2008 | February 2011 | Allow | 35 | 1 | 0 | No | No |
| 12050977 | DATA MANIPULATION PROCESS METHOD AND SYSTEM | March 2008 | March 2011 | Allow | 35 | 1 | 0 | No | No |
| 12050846 | PERSONALIZING SPONSORED SEARCH ADVERTISING LAYOUT USING USER BEHAVIOR HISTORY | March 2008 | February 2014 | Allow | 60 | 5 | 0 | No | Yes |
| 12033024 | METHOD FOR EFFICIENT DATA TRANSFORMATION | February 2008 | December 2011 | Allow | 45 | 3 | 1 | No | No |
| 11936970 | DYNAMIC BINDING OF PORTLETS | November 2007 | October 2011 | Allow | 48 | 3 | 0 | No | No |
| 11874881 | System and Method of a Knowledge Management and Networking Environment | October 2007 | May 2014 | Allow | 60 | 3 | 1 | No | No |
| 11874157 | Method and Apparatus for Identifying, Extracting, Capturing, and Leveraging Expertise and Knowledge | October 2007 | July 2013 | Allow | 60 | 4 | 0 | No | No |
| 11856130 | SYSTEM AND METHOD FOR EXECUTING COMPUTE-INTENSIVE DATABASE USER-DEFINED PROGRAMS ON AN ATTACHED HIGH-PERFORMANCE PARALLEL COMPUTER | September 2007 | September 2010 | Allow | 36 | 2 | 0 | No | No |
| 11842711 | SHARING VIDEO | August 2007 | November 2016 | Allow | 60 | 8 | 1 | Yes | Yes |
| 11835097 | GRAPHICAL USER INTERFACE FOR DATA MANAGEMENT | August 2007 | June 2011 | Allow | 46 | 3 | 0 | No | Yes |
| 11621521 | METHOD AND APPARATUS FOR MODELLING DATA EXCHANGE IN A DATA FLOW OF AN EXTRACT, TRANSFORM, AND LOAD (ETL) PROCESS | January 2007 | July 2011 | Allow | 54 | 1 | 1 | No | No |
| 11589267 | INTERACTIVE USER-CONTROLLED RELEVANACE RANKING RETRIEVED INFORMATION IN AN INFORMATION SEARCH SYSTEM | October 2006 | June 2009 | Allow | 32 | 2 | 0 | Yes | No |
| 11499694 | MOBILE COMMUNICATION TERMINAL FOR DOWNLOADING CONTENTS AND METHOD THEREOF | August 2006 | April 2010 | Allow | 44 | 2 | 0 | Yes | No |
| 11493950 | BUSINESS INTELLIGENT ARCHITECTURE SYSTEM AND METHOD | July 2006 | June 2009 | Allow | 35 | 0 | 0 | Yes | No |
| 11278088 | METHODS OF COST ESTIMATION USING PARTIALLY APPLIED PREDICATES | March 2006 | June 2008 | Allow | 27 | 1 | 0 | Yes | No |
| 11350904 | METHOD AND APPARATUS FOR DETERMINING USEFULNESS OF A DIGITAL ASSET | February 2006 | October 2010 | Allow | 56 | 2 | 1 | Yes | No |
| 11350428 | METHOD AND APPARATUS FOR DETERMINING PEER GROUPS BASED UPON OBSERVED USAGE PATTERNS | February 2006 | June 2009 | Allow | 41 | 3 | 0 | Yes | No |
| 11350646 | METHOD AND APPARATUS FOR PREDICTING DESTINATIONS IN A NAVIGATION CONTEXT BASED UPON OBSERVED USAGE PATTERNS | February 2006 | April 2009 | Allow | 38 | 2 | 0 | Yes | No |
| 11351143 | METHOD AND APPARATUS FOR SUGGESTING/DISAMBIGUATION QUERY TERMS BASED UPON USAGE PATTERNS OBSERVED | February 2006 | May 2009 | Allow | 39 | 2 | 0 | Yes | No |
| 11319928 | METHOD AND APPARATUS FOR IDENTIFYING, EXTRACTING, CAPTURING, AND LEVERAGING EXPERTISE AND KNOWLEDGE | December 2005 | June 2009 | Allow | 42 | 2 | 0 | Yes | No |
| 11134494 | METHOD FOR UPDATING XML SCHEMA REGISTRY USING SCHEMA PASS BY VALUE WITH MESSAGE | May 2005 | June 2008 | Allow | 37 | 2 | 0 | No | No |
| 11134796 | LEVERAGING GARBAGE COLLECTION TO DYNAMICALLY INFER HEAP INVARIANTS | May 2005 | August 2010 | Allow | 60 | 5 | 0 | Yes | No |
| 11131777 | TRANSCODING MEDIA FILES IN A HOST COMPUTING DEVICE FOR USE IN A PORTABLE COMPUTING DEVICE | May 2005 | November 2008 | Allow | 42 | 3 | 0 | Yes | No |
| 11091079 | MAPPING OF A FILE SYSTEM MODEL TO A DATABASE OBJECT | March 2005 | September 2008 | Allow | 42 | 2 | 0 | No | No |
| 11049908 | METHOD AND APPARATUS FOR GENERATING PAGE-LEVEL SECURITY IN A COMPUTER GENERATED REPORT | February 2005 | September 2008 | Allow | 44 | 3 | 0 | No | No |
| 10758768 | Method and system for mobile telemetry device prioritized messaging | January 2004 | March 2014 | Allow | 60 | 6 | 0 | No | Yes |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner BROMELL, ALEXANDRIA Y.
With a 50.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 33.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner BROMELL, ALEXANDRIA Y works in Art Unit 2156 and has examined 54 patent applications in our dataset. With an allowance rate of 98.1%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 42 months.
Examiner BROMELL, ALEXANDRIA Y's allowance rate of 98.1% places them in the 90% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by BROMELL, ALEXANDRIA Y receive 2.69 office actions before reaching final disposition. This places the examiner in the 79% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by BROMELL, ALEXANDRIA Y is 42 months. This places the examiner in the 18% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +3.0% benefit to allowance rate for applications examined by BROMELL, ALEXANDRIA Y. This interview benefit is in the 25% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 36.8% of applications are subsequently allowed. This success rate is in the 84% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.
This examiner enters after-final amendments leading to allowance in 15.8% of cases where such amendments are filed. This entry rate is in the 17% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 160.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 90% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences are highly effective with this examiner compared to others. Before filing a full appeal brief, strongly consider requesting a PAC. The PAC provides an opportunity for the examiner and supervisory personnel to reconsider the rejection before the case proceeds to the PTAB.
This examiner withdraws rejections or reopens prosecution in 71.4% of appeals filed. This is in the 58% percentile among all examiners. Of these withdrawals, 50.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.
When applicants file petitions regarding this examiner's actions, 30.8% are granted (fully or in part). This grant rate is in the 18% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 22.2% of allowed cases (in the 98% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 12% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.