Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security
10 pending office actions • 9 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Feedzai - Consultadoria E Inovação Tecnológica S A has 9 pending office actions in the Computing & Software technology area. These actions are distributed among 9 distinct examiners and 8 distinct art units. This high level of distribution indicates that almost every pending matter is being handled by a unique examiner in a unique art unit. This requires a highly adaptable prosecution strategy to account for the diverse preferences of 9 different examiners.
BENGZON, GREG C is the busiest examiner for the company, with 1 pending office action. Because each of the 9 pending actions is assigned to a different examiner, no single individual dominates the prosecution. The involvement of 8 distinct art units suggests a wide range of technical classifications within the company's software portfolio. With 9 pending office actions and 9 distinct examiners, the company's current USPTO workload is almost entirely decentralized, requiring broad oversight across many different technical groups within the Computing & Software sector.
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (20%) |
| §101 + other | 2 (20%) |
| §103 only | 3 (30%) |
| §102 only | 1 (10%) |
| Multi-statute (no §101) | 2 (20%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| BENGZON, GREG C | 1 | 57.9% | +7.0% |
| SKHOUN, HICHAM | 1 | 77.1% | +5.5% |
| CALDERON SANTIAGO, ALVARO RAFAEL | 1 | 41.5% | +35.4% |
| BAKER, EZRA JAMES | 1 | 42.3% | +29.8% |
| AHSAN, SYED M | 1 | 73.1% | +22.3% |
| NYE, LOUIS CHRISTOPHER | 1 | 28.6% | +30.0% |
| STARKS, WILBERT L | 1 | 74.7% | +3.3% |
| ALLEN, NICHOLAS E | 1 | 75.6% | +14.6% |
| STORK, KYLE R | 1 | 63.2% | +28.7% |
| KWON, JUN | 1 | 41.0% | +47.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18522773 | METHOD FOR GENERATING TEXTUAL DESCRIPTIONS FOR A DATA CHART AND ENHANCING NAVIGABILITY ON GRAPHICAL INTERFACES | CALDERON SANTIAGO, ALVARO RAFAEL | 86d overdue |
| 16667696 | EXPLANATION REPORTING BASED ON DIFFERENTIATION BETWEEN ITEMS IN DIFFERENT DATA GROUPS | KWON, JUN | 5d overdue |
| 17500310 | MODEL-AGNOSTIC APPROACH TO INTERPRETING SEQUENCE PREDICTIONS | STARKS, WILBERT L | 34d |
| 17331501 | ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA | STORK, KYLE R | 70d |
| 18507568 | METHOD FOR FAIRNESS-AWARE DATA VALUATION PROCESSING FOR SUPERVISED LEARNING | BAKER, EZRA JAMES | — |
| 17891981 | SELF-SUPERVISED FRAMEWORK FOR GRAPH REPRESENTATION LEARNING | NYE, LOUIS CHRISTOPHER | — |
| 17386291 | AUTOMATED FEATURE MONITORING FOR DATA STREAMS | ALLEN, NICHOLAS E | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18522773 | METHOD FOR GENERATING TEXTUAL DESCRIPTIONS FOR A DATA CHART AND ENHANCING NAVIGABILITY ON GRAPHICAL INTERFACES | CALDERON SANTIAGO, ALVARO RAFAEL | 86d overdue |
| 16667696 | EXPLANATION REPORTING BASED ON DIFFERENTIATION BETWEEN ITEMS IN DIFFERENT DATA GROUPS | KWON, JUN | 5d overdue |
| 18345626 | METHOD AND SYSTEM FOR SECURING AN ONLINE CLIENT-SERVER SESSION BETWEEN A CLIENT DEVICE AND A SERVER DEVICE BY APPLICATION OF AT LEAST A COUNTERMEASURE | AHSAN, SYED M | 20d |
| 17331501 | ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA | STORK, KYLE R | 70d |
| 18507568 | METHOD FOR FAIRNESS-AWARE DATA VALUATION PROCESSING FOR SUPERVISED LEARNING | BAKER, EZRA JAMES | — |
| 17891981 | SELF-SUPERVISED FRAMEWORK FOR GRAPH REPRESENTATION LEARNING | NYE, LOUIS CHRISTOPHER | — |
| 17386291 | AUTOMATED FEATURE MONITORING FOR DATA STREAMS | ALLEN, NICHOLAS E | — |
| Art Unit | Apps |
|---|---|
| 2444 | 1 |
| 2164 | 1 |
| 2171 | 1 |
| 2491 | 1 |
| 2141 | 1 |
| 2122 | 1 |
| 2154 | 1 |
| 2128 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19216988 | COMPUTER-IMPLEMENTED METHOD FOR MONITORING A COMPUTER SYSTEM FOR ACCOUNT AND/OR SESSION SECURITY ATTACKS, AND COMPUTER SYSTEM THEREOF | BENGZON, GREG C | 2444 | §103 | Non-Final OA | — | Pending | May 23, 2025 |
| 18989655 | GRAPH SEARCH AND VISUALIZATION FOR FRAUDULENT TRANSACTION ANALYSIS | SKHOUN, HICHAM | 2164 | §103 | Final Rejection | — | Pending | Dec 20, 2024 |
| 18522773 | METHOD FOR GENERATING TEXTUAL DESCRIPTIONS FOR A DATA CHART AND ENHANCING NAVIGABILITY ON GRAPHICAL INTERFACES | CALDERON SANTIAGO, ALVARO RAFAEL | 2171 | §102§103§112 | Final Rejection | 86d overdue | Pending | Nov 29, 2023 |
| 18507568 | METHOD FOR FAIRNESS-AWARE DATA VALUATION PROCESSING FOR SUPERVISED LEARNING | BAKER, EZRA JAMES | — | §103§112 | Non-Final OA | — | Pending | Nov 13, 2023 |
| 18345626 | METHOD AND SYSTEM FOR SECURING AN ONLINE CLIENT-SERVER SESSION BETWEEN A CLIENT DEVICE AND A SERVER DEVICE BY APPLICATION OF AT LEAST A COUNTERMEASURE | AHSAN, SYED M | 2491 | §102 | Final Rejection | 20d | Pending | Jun 30, 2023 |
| 17891981 | SELF-SUPERVISED FRAMEWORK FOR GRAPH REPRESENTATION LEARNING | NYE, LOUIS CHRISTOPHER | 2141 | §103 | Non-Final OA | — | Pending | Aug 19, 2022 |
| 17500310 | MODEL-AGNOSTIC APPROACH TO INTERPRETING SEQUENCE PREDICTIONS | STARKS, WILBERT L | 2122 | §101 | Non-Final OA | 34d | Pending | Oct 13, 2021 |
| 17386291 | AUTOMATED FEATURE MONITORING FOR DATA STREAMS | ALLEN, NICHOLAS E | 2154 | §101§103 | Non-Final OA | — | Pending | Jul 27, 2021 |
| 17331501 | ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA | STORK, KYLE R | 2128 | §101§103 | Final Rejection | 70d | Pending | May 26, 2021 |
| 16667696 | EXPLANATION REPORTING BASED ON DIFFERENTIATION BETWEEN ITEMS IN DIFFERENT DATA GROUPS | KWON, JUN | 2127 | §101 | Final Rejection | 5d overdue | Pending | Oct 29, 2019 |
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