Prosecution Insights
Prosecution Insights
Technology areas: Chemistry & Materials • Computing & Software • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 4 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Technology Innovation Institute - Sole Proprietorship LLC is managing 6 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among 6 distinct examiners, which indicates a decentralized prosecution strategy. This spread ensures that the company's patent applications are being evaluated by a variety of different individuals at the patent office.
The company's pending matters are situated across 4 distinct art units. This presence in 4 units reflects the technical variety of the portfolio within the Transportation, E-Commerce & Mechanical Systems sector. Navigating 4 different art units requires the company to address the specific expertise and procedural requirements of multiple administrative divisions.
The busiest examiner for the portfolio is ALATA, AYOUB, who is currently handling 1 pending office action. Since this examiner is responsible for only 1 of the pending office actions, the workload is evenly distributed across the 6 distinct examiners. This lack of concentration means that the overall progress of the portfolio is not dependent on the pace or style of any single examiner.
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 | 3 (43%) |
| §103 only | 2 (29%) |
| Multi-statute (no §101) | 2 (29%) |
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 |
|---|---|---|---|
| ALATA, AYOUB | 1 | 81.6% | +25.6% |
| INSERRA, MADISON RENEE | 1 | 69.6% | +36.0% |
| ILES, TYLER EDWARD | 1 | 55.6% | +66.7% |
| ZHAO, YU | 1 | 52.6% | +40.7% |
| FORRY, COLTON BUSA | 1 | 50.0% | +0.0% |
| KHAN, TAHSEEN | 1 | 61.7% | +20.5% |
| MAC, GARY | 1 | 40.9% | +38.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18809998 | Service Decision Method and Service Decision Device | INSERRA, MADISON RENEE | 29d |
| 19207802 | SYSTEM AND METHOD FOR ADAPTIVE INTRUSION DETECTION IN NETWORK ENVIRONMENTS | ALATA, AYOUB | — |
| 18602351 | ADAPTIVE Q LEARNING IN DYNAMICALLY CHANGING ENVIRONMENTS | ILES, TYLER EDWARD | — |
| 18690125 | DATA SELECTION AND STORAGE ON THE EDGE FOR EFFICIENT EDGE LEARNING | ZHAO, YU | — |
| 18531961 | Method of Producing Graphene and Holey Graphene and Electrode for the Same | FORRY, COLTON BUSA | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18809998 | Service Decision Method and Service Decision Device | INSERRA, MADISON RENEE | 29d |
| 18513952 | CARBON NANOTUBE SHEETS FOR INFRARED SHIELDING AND METHOD OF MAKING THE SAME | KHAN, TAHSEEN | 39d |
| 19207802 | SYSTEM AND METHOD FOR ADAPTIVE INTRUSION DETECTION IN NETWORK ENVIRONMENTS | ALATA, AYOUB | — |
| 18602351 | ADAPTIVE Q LEARNING IN DYNAMICALLY CHANGING ENVIRONMENTS | ILES, TYLER EDWARD | — |
| 18690125 | DATA SELECTION AND STORAGE ON THE EDGE FOR EFFICIENT EDGE LEARNING | ZHAO, YU | — |
| 18149476 | REDUCING BIAS IN VISUAL SPEECH RECOGNITION | MAC, GARY | — |
| Art Unit | Apps |
|---|---|
| 3662 | 1 |
| 4100 | 1 |
| 1781 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19207802 | SYSTEM AND METHOD FOR ADAPTIVE INTRUSION DETECTION IN NETWORK ENVIRONMENTS | ALATA, AYOUB | — | §102§103§112 | Non-Final OA | — | Pending | May 14, 2025 |
| 18809998 | Service Decision Method and Service Decision Device | INSERRA, MADISON RENEE | 3662 | §101§103 | Final Rejection | 29d | Pending | Aug 20, 2024 |
| 18602351 | ADAPTIVE Q LEARNING IN DYNAMICALLY CHANGING ENVIRONMENTS | ILES, TYLER EDWARD | — | §101§103 | Non-Final OA | — | Pending | Mar 12, 2024 |
| 18690125 | DATA SELECTION AND STORAGE ON THE EDGE FOR EFFICIENT EDGE LEARNING | ZHAO, YU | — | §101§112 | Non-Final OA | — | Pending | Mar 07, 2024 |
| 18531961 | Method of Producing Graphene and Holey Graphene and Electrode for the Same | FORRY, COLTON BUSA | 4100 | §102§103 | Non-Final OA | — | Pending | Dec 07, 2023 |
| 18513952 | CARBON NANOTUBE SHEETS FOR INFRARED SHIELDING AND METHOD OF MAKING THE SAME | KHAN, TAHSEEN | 1781 | §103 | Final Rejection | 39d | Pending | Nov 20, 2023 |
| 18149476 | REDUCING BIAS IN VISUAL SPEECH RECOGNITION | MAC, GARY | 2127 | §103 | Non-Final OA | — | Pending | Jan 03, 2023 |
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