Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
15 pending office actions • 8 art units • 15 examiners • 0 of 15 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Preferred Networks Inc. has 15 pending office actions within the Computing & Software technology area. These actions are distributed across 15 distinct examiners, which means that every pending matter is being handled by a different individual. This level of examiner diversity suggests that the company is receiving a wide range of feedback and examination styles across its software portfolio.
The 15 pending office actions are further spread across 8 distinct art units, indicating a broad technical reach within the computing sector. MITCHELL, NATHAN A is the busiest examiner, holding 1 busiest examiner pending office action. Because the total number of examiners matches the total number of pending actions, the workload is evenly distributed with no examiner handling more than 1 case. Managing the 15 distinct examiners across 8 distinct art units requires a versatile prosecution strategy to address the various technical and procedural requirements encountered.
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 only | 1 (7%) |
| §101 + other | 8 (53%) |
| §103 only | 3 (20%) |
| Double-patenting + other | 1 (7%) |
| Multi-statute (no §101) | 2 (13%) |
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 |
|---|---|---|---|
| MITCHELL, NATHAN A | 1 | 73.0% | +10.0% |
| WASSUM, LUKE S | 1 | 67.0% | +16.5% |
| MCMAHON, DANIEL F | 1 | 89.7% | +2.3% |
| METZGER, MICHAEL J | 1 | 90.7% | +7.6% |
| TRAN, KENNETH PHUOC | 1 | 30.8% | +66.7% |
| SHELTON, SETH CAPRIANO-UMA | 1 | — | — |
| GAVIA, NYLA EMANI ANN | 1 | 78.8% | +16.7% |
| MARU, MATIYAS T | 1 | 61.0% | +5.9% |
| HEADLY, MELISSA A | 1 | 75.1% | +41.0% |
| DETERDING, GWYNEVERE AMELIA | 1 | 71.4% | +35.7% |
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 |
|---|---|---|---|
| 19057103 | SEMICONDUCTOR DEVICE AND DATA TRANSFERRING METHOD FOR SEMICONDUCTOR DEVICE | MCMAHON, DANIEL F | — |
| 19013344 | PROCESSOR AND CONTROL METHOD FOR PROCESSOR | METZGER, MICHAEL J | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17901216 | LEARNING DEVICE UNIT | ALABI, OLUWATOSIN O | 9d |
| 19092283 | SYSTEM, TERMINAL DEVICE, AND METHOD | MITCHELL, NATHAN A | — |
| 19060972 | TACTILE INFORMATION ESTIMATION APPARATUS, TACTILE INFORMATION ESTIMATION METHOD, AND PROGRAM | WASSUM, LUKE S | — |
| 18897595 | PROCESSOR AND METHOD FOR CONTROLLING PROCESSOR | TRAN, KENNETH PHUOC | — |
| 18533481 | INFERRING DEVICE, TRAINING DEVICE, METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | SHELTON, SETH CAPRIANO-UMA | — |
| 18533914 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | GAVIA, NYLA EMANI ANN | — |
| 18533491 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD | MARU, MATIYAS T | — |
| 18209477 | MACHINE LEARNING DEVICE, ROBOT SYSTEM, AND MACHINE LEARNING METHOD FOR LEARNING OBJECT PICKING OPERATION | DETERDING, GWYNEVERE AMELIA | — |
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 |
|---|---|---|---|
| 19092283 | SYSTEM, TERMINAL DEVICE, AND METHOD | MITCHELL, NATHAN A | — |
| 19060972 | TACTILE INFORMATION ESTIMATION APPARATUS, TACTILE INFORMATION ESTIMATION METHOD, AND PROGRAM | WASSUM, LUKE S | — |
| 18897595 | PROCESSOR AND METHOD FOR CONTROLLING PROCESSOR | TRAN, KENNETH PHUOC | — |
| 18533914 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | GAVIA, NYLA EMANI ANN | — |
| 18505229 | INFORMATION PROCESSING SYSTEM | HEADLY, MELISSA A | — |
| 18209477 | MACHINE LEARNING DEVICE, ROBOT SYSTEM, AND MACHINE LEARNING METHOD FOR LEARNING OBJECT PICKING OPERATION | DETERDING, GWYNEVERE AMELIA | — |
| Art Unit | Apps |
|---|---|
| 3992 | 1 |
| 2183 | 1 |
| 2126 | 1 |
| 2125 | 1 |
| 2129 | 1 |
| 3656 | 1 |
| 2127 | 1 |
| 2146 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19092283 | SYSTEM, TERMINAL DEVICE, AND METHOD | MITCHELL, NATHAN A | — | §101§103 | Non-Final OA | — | Pending | Mar 27, 2025 |
| 19060972 | TACTILE INFORMATION ESTIMATION APPARATUS, TACTILE INFORMATION ESTIMATION METHOD, AND PROGRAM | WASSUM, LUKE S | 3992 | §101§102§103§112Other | Non-Final OA | — | Pending | Feb 24, 2025 |
| 19057103 | SEMICONDUCTOR DEVICE AND DATA TRANSFERRING METHOD FOR SEMICONDUCTOR DEVICE | MCMAHON, DANIEL F | — | §112DPOther | Non-Final OA | — | Pending | Feb 19, 2025 |
| 19013344 | PROCESSOR AND CONTROL METHOD FOR PROCESSOR | METZGER, MICHAEL J | 2183 | §103 | Non-Final OA | — | Pending | Jan 08, 2025 |
| 18897595 | PROCESSOR AND METHOD FOR CONTROLLING PROCESSOR | TRAN, KENNETH PHUOC | — | §103§112 | Non-Final OA | — | Pending | Sep 26, 2024 |
| 18533481 | INFERRING DEVICE, TRAINING DEVICE, METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | SHELTON, SETH CAPRIANO-UMA | — | §101§102§103§112 | Non-Final OA | — | Pending | Dec 08, 2023 |
| 18533914 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | GAVIA, NYLA EMANI ANN | — | §101§103 | Non-Final OA | — | Pending | Dec 08, 2023 |
| 18533491 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD | MARU, MATIYAS T | — | §101§103 | Non-Final OA | — | Pending | Dec 08, 2023 |
| 18505229 | INFORMATION PROCESSING SYSTEM | HEADLY, MELISSA A | 2126 | §103 | Non-Final OA | — | Pending | Nov 09, 2023 |
| 18209477 | MACHINE LEARNING DEVICE, ROBOT SYSTEM, AND MACHINE LEARNING METHOD FOR LEARNING OBJECT PICKING OPERATION | DETERDING, GWYNEVERE AMELIA | 2125 | §101§102§103 | Final Rejection | — | Pending | Jun 14, 2023 |
| 18076636 | INFERRING DEVICE, INFERRING METHOD, STRUCTURAL FORMULA, AND NON-TRANSITORY COMPUTER READABLE MEDIUM | ELKINS, BLAKE HARRISON | — | §101§102§103§112DP | Non-Final OA | — | Pending | Dec 07, 2022 |
| 17901216 | LEARNING DEVICE UNIT | ALABI, OLUWATOSIN O | 2129 | §102§103§112 | Final Rejection | 9d | Pending | Sep 01, 2022 |
| 17733949 | REMOTE CONTROLLED DEVICE, REMOTE CONTROL SYSTEM AND REMOTE CONTROL DEVICE | TRAN, SARAH ASHLEY | 3656 | §103 | Non-Final OA | — | Pending | Apr 29, 2022 |
| 17221060 | HYPERPARAMETER TUNING METHOD, DEVICE, AND PROGRAM | JABLON, ASHER H. | 2127 | §101 | Non-Final OA | — | Pending | Apr 02, 2021 |
| 17073517 | METHOD AND APPARATUS FOR TRAINING NEURAL NETWORK | RAMIREZ BRAVO, BEATRIZ A | 2146 | §101§103 | Final Rejection | — | Pending | Oct 19, 2020 |
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