Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
14 pending office actions • 6 art units • 13 examiners • 0 of 14 (0%) have an AI response strategy ready • 21 patents granted in the last 365 days
Zenseact AB has 14 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among 13 distinct examiners. The portfolio spans 6 distinct art units, indicating that the company's transportation technologies fall into several different technical classifications. The involvement of 6 distinct art units suggests that the company's innovations are being evaluated by multiple specialized groups, each with its own technical focus for the 14 pending office actions.
TURNBAUGH, ASHLEIGH NICOLE is the busiest examiner, managing 2 pending office actions. The remaining actions are spread across the other 13 distinct examiners. This means that 13 distinct examiners are providing feedback on the company's applications. The breadth of 6 distinct art units indicates that the company's research is technically diverse, requiring the prosecution team to navigate the unique examination cultures of several different specialized units. Having 2 pending office actions assigned to TURNBAUGH, ASHLEIGH NICOLE represents the highest concentration of work with any single examiner.
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 | 1 (7%) |
| §101 + other | 1 (7%) |
| §103 only | 6 (43%) |
| §102 only | 1 (7%) |
| Multi-statute (no §101) | 5 (36%) |
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 |
|---|---|---|---|
| TURNBAUGH, ASHLEIGH NICOLE | 2 | 51.4% | +6.9% |
| PALMARCHUK, BRIAN KEITH | 1 | 67.9% | +16.9% |
| MANLEY, SHERMAN D | 1 | 84.0% | +11.7% |
| KWON, JOHN | 1 | 85.5% | -3.6% |
| THOMPSON, JOSEPH LEIGH | 1 | 36.8% | +61.6% |
| WINDSOR, COURTNEY J | 1 | 86.2% | +9.3% |
| CARDIMINO, CHRISTOPHER RYAN | 1 | 57.7% | +22.1% |
| CODRINGTON, SHANE WRENSFORD | 1 | 83.3% | +20.8% |
| BUSE, TERRY C | 1 | 59.6% | +25.1% |
| PHAKOUSONH, DARAVANH | 1 | 25.0% | +100.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19086249 | STEERING INTERVENTIONS FOR VEHICLES | MANLEY, SHERMAN D | — |
| 19086277 | STEERING INTERVENTIONS FOR VEHICLES | KWON, JOHN | — |
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 |
|---|---|---|---|
| 18178730 | DYNAMIC ADJUSTMENT OF AN EVENT SEGMENT LENGTH OF A VEHICLE EVENT RECORDING BUFFER | TURNBAUGH, ASHLEIGH NICOLE | 195d overdue |
| 18991530 | METHOD FOR PROVIDING A FREE-SPACE ESTIMATION WITH MOTION DATA | THOMPSON, JOSEPH LEIGH | 34d |
| 19222142 | DYNAMIC ADAPTATION OF AN OPERATIONAL DESIGN DOMAIN FOR AN AUTOMATED DRIVING SYSTEM OF A VEHICLE | TURNBAUGH, ASHLEIGH NICOLE | — |
| 18991529 | METHOD FOR GENERATING AN ANNOTATED TRAINING DATA SET FOR TRAINING A PERCEPTION ALGORITHM OF AN AUTOMATED DRIVING SYSTEM | WINDSOR, COURTNEY J | — |
| 18956104 | PRECAUTIONARY PLANNING FOR A VEHICLE | CARDIMINO, CHRISTOPHER RYAN | — |
| 18915832 | COMPUTER IMPLEMENTED METHOD FOR PROVIDING INSIGHT INTO MACHINE LEARNING MODELS | CODRINGTON, SHANE WRENSFORD | — |
| 18398112 | TARGETED DATA GENERATION BY NEURAL NETWORK ENSEMBLES | PHAKOUSONH, DARAVANH | — |
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 |
|---|---|---|---|
| 18621667 | VEHICLE LOCALIZATION | BUSE, TERRY C | 28d overdue |
| 18991530 | METHOD FOR PROVIDING A FREE-SPACE ESTIMATION WITH MOTION DATA | THOMPSON, JOSEPH LEIGH | 34d |
| 19188320 | IN-VEHICLE PERCEPTION PERFORMANCE EVALUATION | PALMARCHUK, BRIAN KEITH | — |
| 19086249 | STEERING INTERVENTIONS FOR VEHICLES | MANLEY, SHERMAN D | — |
| 18956104 | PRECAUTIONARY PLANNING FOR A VEHICLE | CARDIMINO, CHRISTOPHER RYAN | — |
| 18915832 | COMPUTER IMPLEMENTED METHOD FOR PROVIDING INSIGHT INTO MACHINE LEARNING MODELS | CODRINGTON, SHANE WRENSFORD | — |
| 18398112 | TARGETED DATA GENERATION BY NEURAL NETWORK ENSEMBLES | PHAKOUSONH, DARAVANH | — |
| Art Unit | Apps |
|---|---|
| 3747 | 2 |
| 3666 | 2 |
| 3665 | 1 |
| 3661 | 1 |
| 2663 | 1 |
| 3667 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19222142 | DYNAMIC ADAPTATION OF AN OPERATIONAL DESIGN DOMAIN FOR AN AUTOMATED DRIVING SYSTEM OF A VEHICLE | TURNBAUGH, ASHLEIGH NICOLE | — | §102§103§112 | Non-Final OA | — | Pending | May 29, 2025 |
| 19188320 | IN-VEHICLE PERCEPTION PERFORMANCE EVALUATION | PALMARCHUK, BRIAN KEITH | — | §103Other | Non-Final OA | — | Pending | Apr 24, 2025 |
| 19086249 | STEERING INTERVENTIONS FOR VEHICLES | MANLEY, SHERMAN D | 3747 | §102 | Non-Final OA | — | Pending | Mar 21, 2025 |
| 19086277 | STEERING INTERVENTIONS FOR VEHICLES | KWON, JOHN | 3747 | §103 | Non-Final OA | — | Pending | Mar 21, 2025 |
| 18991530 | METHOD FOR PROVIDING A FREE-SPACE ESTIMATION WITH MOTION DATA | THOMPSON, JOSEPH LEIGH | 3665 | §101§103 | Final Rejection | 34d | Pending | Dec 21, 2024 |
| 18991529 | METHOD FOR GENERATING AN ANNOTATED TRAINING DATA SET FOR TRAINING A PERCEPTION ALGORITHM OF AN AUTOMATED DRIVING SYSTEM | WINDSOR, COURTNEY J | — | §103§112 | Non-Final OA | — | Pending | Dec 21, 2024 |
| 18956104 | PRECAUTIONARY PLANNING FOR A VEHICLE | CARDIMINO, CHRISTOPHER RYAN | 3661 | §102§103 | Final Rejection | — | Pending | Nov 22, 2024 |
| 18915832 | COMPUTER IMPLEMENTED METHOD FOR PROVIDING INSIGHT INTO MACHINE LEARNING MODELS | CODRINGTON, SHANE WRENSFORD | — | §102§103§112 | Non-Final OA | — | Pending | Oct 15, 2024 |
| 18621667 | VEHICLE LOCALIZATION | BUSE, TERRY C | 3666 | §103 | Final Rejection | 28d overdue | Pending | Mar 29, 2024 |
| 18398112 | TARGETED DATA GENERATION BY NEURAL NETWORK ENSEMBLES | PHAKOUSONH, DARAVANH | — | §101 | Non-Final OA | — | Pending | Dec 27, 2023 |
| 18396315 | CLASSIFICATION OF OBJECTS PRESENT ON A ROAD | ORANGE, DAVID BENJAMIN | 2663 | §103 | Final Rejection | 37d overdue | Pending | Dec 26, 2023 |
| 18511233 | METHOD FOR PERFORMING A PERCEPTION TASK OF AN ELECTRONIC DEVICE OR A VEHICLE USING A PLURALITY OF NEURAL NETWORKS | THOMPSON, ALMA BENNETT | — | §103 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18178730 | DYNAMIC ADJUSTMENT OF AN EVENT SEGMENT LENGTH OF A VEHICLE EVENT RECORDING BUFFER | TURNBAUGH, ASHLEIGH NICOLE | 3667 | §102§103 | Final Rejection | 195d overdue | Pending | Mar 06, 2023 |
| 17892226 | VALIDATION OF SURROUNDING OBJECTS PERCIEVED BY AN ADS-EQUIPPED VEHICLE | AFRIN, NAZIA | 3666 | §103 | Non-Final OA | 4d overdue | Pending | Aug 22, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial