Technology areas: Computing & Software • Communications
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Soul Machines Limited is currently managing 5 pending office actions in the Communications technology area. These actions are assigned to 5 distinct examiners, ensuring that each pending matter is being reviewed by a different official. The prosecution is distributed across 4 distinct art units, showing a relatively broad technical scope within the communications sector for the company's current applications.
The busiest examiner for the company is NGUYEN, DAVID VAN, who is responsible for 1 busiest examiner pending office action. Since there are 5 pending office actions and 5 distinct examiners, the workload is evenly split among them. The fact that 5 distinct examiners are operating across 4 distinct art units indicates that the company's current patent activity is being evaluated by multiple technical groups simultaneously. This decentralized structure requires managing 5 separate examiner interactions to advance the 5 pending office actions currently active in the portfolio.
Based on the USPTO statutory response window for each pending office action. 2 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 | 3 (60%) |
| Multi-statute (no §101) | 1 (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 |
|---|---|---|---|
| NGUYEN, DAVID VAN | 1 | 87.5% | +14.6% |
| VINCENT, ROSS MICHAEL | 1 | 53.6% | +35.4% |
| LIU, ZHENGXI | 1 | 64.1% | +40.5% |
| TSWEI, YU-JANG | 1 | 83.6% | +16.0% |
| REYES, MARIELA D | 1 | 61.1% | +23.7% |
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 |
|---|---|---|---|
| 18397093 | MORPH TARGET ANIMATION | TSWEI, YU-JANG | 59d overdue |
| 18852223 | CONVERSATIONAL DIGITAL CHARACTER BLENDING AND GENERATION | NGUYEN, DAVID VAN | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18756881 | MACHINE INTERACTION | VINCENT, ROSS MICHAEL | — |
| 17621616 | ARCHITECTURE, SYSTEM, AND METHOD FOR SIMULATING DYNAMICS BETWEEN EMOTIONAL STATES OR BEHAVIOR FOR A MAMMAL MODEL AND ARTIFICIAL NERVOUS SYSTEM | REYES, MARIELA D | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18702866 | VIRTUAL AVATAR ANIMATION | LIU, ZHENGXI | 93d overdue |
| 18397093 | MORPH TARGET ANIMATION | TSWEI, YU-JANG | 59d overdue |
| 18852223 | CONVERSATIONAL DIGITAL CHARACTER BLENDING AND GENERATION | NGUYEN, DAVID VAN | — |
| 18756881 | MACHINE INTERACTION | VINCENT, ROSS MICHAEL | — |
| 17621616 | ARCHITECTURE, SYSTEM, AND METHOD FOR SIMULATING DYNAMICS BETWEEN EMOTIONAL STATES OR BEHAVIOR FOR A MAMMAL MODEL AND ARTIFICIAL NERVOUS SYSTEM | REYES, MARIELA D | — |
| Art Unit | Apps |
|---|---|
| 2617 | 1 |
| 2611 | 1 |
| 2614 | 1 |
| 2100 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18852223 | CONVERSATIONAL DIGITAL CHARACTER BLENDING AND GENERATION | NGUYEN, DAVID VAN | 2617 | §103 | Final Rejection | — | Pending | Sep 27, 2024 |
| 18756881 | MACHINE INTERACTION | VINCENT, ROSS MICHAEL | — | §101§103 | Non-Final OA | — | Pending | Jun 27, 2024 |
| 18702866 | VIRTUAL AVATAR ANIMATION | LIU, ZHENGXI | 2611 | §103 | Non-Final OA | 93d overdue | Pending | Apr 19, 2024 |
| 18397093 | MORPH TARGET ANIMATION | TSWEI, YU-JANG | 2614 | §103Other | Non-Final OA | 59d overdue | Pending | Dec 27, 2023 |
| 17621616 | ARCHITECTURE, SYSTEM, AND METHOD FOR SIMULATING DYNAMICS BETWEEN EMOTIONAL STATES OR BEHAVIOR FOR A MAMMAL MODEL AND ARTIFICIAL NERVOUS SYSTEM | REYES, MARIELA D | 2100 | §102§103 | Final Rejection | — | Pending | Dec 21, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial