Prosecution Insights
Prosecution Insights
Technology area: Communications
5 pending office actions • 1 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Waabi Innovation Inc. has a focused portfolio with 5 pending office actions in the Communications technology area. All 5 actions are located within 1 distinct art unit, indicating a highly specialized set of applications. Each of these actions is assigned to one of 5 distinct examiners, meaning there is no examiner overlap and each application is being reviewed by a different individual.
Tan Quang Nguyen is the busiest examiner for this company, currently managing 1 pending office action. Since there are 5 distinct examiners for the 5 pending office actions, every examiner is equally busy. The concentration of all work within 1 distinct art unit suggests that while the 5 distinct examiners differ, the technical standards and prior art landscape should remain consistent across the portfolio, providing a stable foundation for the company's prosecution strategy.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 + other | 1 (20%) |
| §103 only | 1 (20%) |
| Double-patenting only | 1 (20%) |
| Multi-statute (no §101) | 2 (40%) |
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 |
|---|---|---|---|
| NGUYEN, TAN QUANG | 1 | 90.6% | +7.1% |
| LIN, JESSICA YIFANG | 1 | 81.8% | -3.3% |
| TSWEI, YU-JANG | 1 | 83.6% | +16.0% |
| KUAN, JOHN CHUNYANG | 1 | 72.3% | +47.6% |
| ANYIKIRE, CHIKAODILI E | 1 | 74.9% | +11.1% |
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 |
|---|---|---|---|
| 18835285 | AUTONOMOUS SYSTEM TRAINING AND TESTING | TSWEI, YU-JANG | 9d |
| 19301806 | TRAJECTORY VALUE LEARNING FOR AUTONOMOUS SYSTEMS | NGUYEN, TAN QUANG | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18949302 | ROAD MAPPING FRAMEWORK | LIN, JESSICA YIFANG | — |
| 18598958 | LIDAR MEMORY BASED SEGMENTATION | KUAN, JOHN CHUNYANG | — |
| 18368488 | MOTION FORECASTING FOR AUTONOMOUS SYSTEMS | ANYIKIRE, CHIKAODILI 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18835285 | AUTONOMOUS SYSTEM TRAINING AND TESTING | TSWEI, YU-JANG | 9d |
| 18598958 | LIDAR MEMORY BASED SEGMENTATION | KUAN, JOHN CHUNYANG | — |
| 18368488 | MOTION FORECASTING FOR AUTONOMOUS SYSTEMS | ANYIKIRE, CHIKAODILI E | — |
| Art Unit | Apps |
|---|---|
| 2614 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19301806 | TRAJECTORY VALUE LEARNING FOR AUTONOMOUS SYSTEMS | NGUYEN, TAN QUANG | — | DP | Non-Final OA | — | Pending | Aug 15, 2025 |
| 18949302 | ROAD MAPPING FRAMEWORK | LIN, JESSICA YIFANG | — | §102§103 | Non-Final OA | — | Pending | Nov 15, 2024 |
| 18835285 | AUTONOMOUS SYSTEM TRAINING AND TESTING | TSWEI, YU-JANG | 2614 | §103 | Final Rejection | 9d | Pending | Aug 01, 2024 |
| 18598958 | LIDAR MEMORY BASED SEGMENTATION | KUAN, JOHN CHUNYANG | — | §101§112 | Non-Final OA | — | Pending | Mar 07, 2024 |
| 18368488 | MOTION FORECASTING FOR AUTONOMOUS SYSTEMS | ANYIKIRE, CHIKAODILI E | — | §102§103 | Non-Final OA | — | Pending | Sep 14, 2023 |
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