Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
Qpiai India Private Limited is managing 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among 3 distinct examiners, meaning that each application is being reviewed by a different official. The prosecution activity is spread across 3 distinct art units, indicating that each of the 3 pending office actions is being handled by a different technical group.
The busiest examiner, ALGEHAIM, MOHAMED A, is currently handling 1 busiest examiner pending action. This reflects the complete lack of concentration in the portfolio, as the 3 pending office actions are spread evenly across 3 distinct examiners and 3 distinct art units. Each matter represents a unique interaction with the patent office, requiring a tailored approach for each pending application.
Practitioners should note that with 3 pending office actions in 3 distinct art units, there is no overlap in the examination teams. This requires a versatile approach to prosecution, as each of the 3 distinct examiners will have their own standards and timelines. The 1 busiest examiner pending action with ALGEHAIM, MOHAMED A is just 1 of 3 separate prosecution tracks for the company.
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 (33%) |
| §103 only | 1 (33%) |
| No statute on record | 1 (33%) |
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 |
|---|---|---|---|
| ALGEHAIM, MOHAMED A | 1 | 59.0% | +20.6% |
| HOPKINS, DAVID ANDREW | 1 | 31.5% | +37.5% |
| SINGLETARY, TYRONE E | 1 | 30.4% | +28.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18093510 | SYSTEM AND METHOD FOR SENSOR POSITION OPTIMIZATION FOR AUTONOMOUS VEHICLES | HOPKINS, DAVID ANDREW | — |
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 |
|---|---|---|---|
| 19327240 | SYSTEMS AND METHODS FOR MULTI-MODAL VISUAL REASONING USING DYNAMIC SCENE GRAPHS AND KNOWLEDGE GRAPHS | ALGEHAIM, MOHAMED A | — |
| 18093510 | SYSTEM AND METHOD FOR SENSOR POSITION OPTIMIZATION FOR AUTONOMOUS VEHICLES | HOPKINS, DAVID ANDREW | — |
| 17665463 | METHOD AND SYSTEM FOR COMBINATORIAL OPTIMIZATION OF VEHICLE ROUTING USING A SIMULATED ANNEALING ON A UNIVERSAL OPTIMIZATION PROCESSOR | SINGLETARY, TYRONE E | — |
| Art Unit | Apps |
|---|---|
| 3668 | 1 |
| 2188 | 1 |
| 3623 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19327240 | SYSTEMS AND METHODS FOR MULTI-MODAL VISUAL REASONING USING DYNAMIC SCENE GRAPHS AND KNOWLEDGE GRAPHS | ALGEHAIM, MOHAMED A | 3668 | §103 | Non-Final OA | — | Pending | Sep 12, 2025 |
| 18093510 | SYSTEM AND METHOD FOR SENSOR POSITION OPTIMIZATION FOR AUTONOMOUS VEHICLES | HOPKINS, DAVID ANDREW | 2188 | §101§103 | Final Rejection | — | Pending | Jan 05, 2023 |
| 17665463 | METHOD AND SYSTEM FOR COMBINATORIAL OPTIMIZATION OF VEHICLE ROUTING USING A SIMULATED ANNEALING ON A UNIVERSAL OPTIMIZATION PROCESSOR | SINGLETARY, TYRONE E | 3623 | — | Non-Final OA | — | Pending | Apr 11, 2022 |
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