Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Computing & Software • Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
8 pending office actions • 5 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Terra Quantum AG has 8 pending office actions distributed across the Medical Devices & Mechanical Engineering technology area. These actions are handled by 8 distinct examiners, showing a high degree of examiner diversity for the volume of pending work. This distribution indicates that the patent office is utilizing a wide range of expertise to review the company's applications.
The portfolio spans 5 distinct art units, suggesting a broad technical scope within its primary technology area. TSAI, JAMES T is identified as the busiest examiner, though they currently oversee only 1 pending office action. This distribution means that every pending action is currently with a different examiner, as the 8 actions are split among 8 distinct individuals.
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 (38%) |
| §103 only | 2 (25%) |
| §102 only | 2 (25%) |
| §112 only | 1 (12%) |
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 |
|---|---|---|---|
| TSAI, JAMES T | 1 | 63.4% | +56.9% |
| SANA, MOHAMMAD AZAM | 1 | 86.3% | +20.8% |
| BERTRAM, ERIC D | 1 | 81.2% | +12.4% |
| FARAH, AHMED M | 1 | 79.0% | +18.8% |
| KOWALIK, SKIELER ALEXANDER | 1 | 40.0% | +72.2% |
| WARTALOWICZ, PAUL A | 1 | 64.4% | +18.8% |
| OYEBISI, OJO O | 1 | 50.3% | +11.8% |
| CLOW, LORI A | 1 | 64.2% | +28.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18370800 | Laser System and Method for Detecting and Processing Information | BERTRAM, ERIC D | — |
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 |
|---|---|---|---|
| 17855010 | METHOD AND SYSTEM FOR CONVERTING PHYSIOLOGICAL SIGNALS | CLOW, LORI A | 33d |
| 18388115 | METHOD FOR SOLVING MACHINE LEARNING PROBLEMS WITH HYBRID CLASSICAL-QUANTUM SOLVERS | SANA, MOHAMMAD AZAM | — |
| 18179085 | GRAPHITIC ROOM-TEMPERATURE SUPERCONDUCTOR | WARTALOWICZ, PAUL A | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18053642 | METHOD AND SYSTEM FOR PERFORMING CRYPTOCURRENCY ASSET TRANSACTION | OYEBISI, OJO O | 12d |
| 17855010 | METHOD AND SYSTEM FOR CONVERTING PHYSIOLOGICAL SIGNALS | CLOW, LORI A | 33d |
| 18588749 | HYBRID QUANTUM CLASSICAL CLASSIFICATION SYSTEM FOR CLASSIFYING IMAGES AND TRAINING METHOD | TSAI, JAMES T | — |
| 18388115 | METHOD FOR SOLVING MACHINE LEARNING PROBLEMS WITH HYBRID CLASSICAL-QUANTUM SOLVERS | SANA, MOHAMMAD AZAM | — |
| 18370800 | Laser System and Method for Detecting and Processing Information | BERTRAM, ERIC D | — |
| 18370733 | Laser System and Method for Detecting and Processing Information | FARAH, AHMED M | — |
| 18347323 | Method and System for Solving QUBO Problems with Hybrid Classical-Quantum Solvers | KOWALIK, SKIELER ALEXANDER | — |
| 18179085 | GRAPHITIC ROOM-TEMPERATURE SUPERCONDUCTOR | WARTALOWICZ, PAUL A | — |
| Art Unit | Apps |
|---|---|
| 3796 | 1 |
| 3792 | 1 |
| 2126 | 1 |
| 3695 | 1 |
| 1687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18588749 | HYBRID QUANTUM CLASSICAL CLASSIFICATION SYSTEM FOR CLASSIFYING IMAGES AND TRAINING METHOD | TSAI, JAMES T | — | §103 | Non-Final OA | — | Pending | Feb 27, 2024 |
| 18388115 | METHOD FOR SOLVING MACHINE LEARNING PROBLEMS WITH HYBRID CLASSICAL-QUANTUM SOLVERS | SANA, MOHAMMAD AZAM | — | §101§103 | Non-Final OA | — | Pending | Nov 08, 2023 |
| 18370800 | Laser System and Method for Detecting and Processing Information | BERTRAM, ERIC D | 3796 | §102Other | Final Rejection | — | Pending | Sep 20, 2023 |
| 18370733 | Laser System and Method for Detecting and Processing Information | FARAH, AHMED M | 3792 | §102 | Final Rejection | — | Pending | Sep 20, 2023 |
| 18347323 | Method and System for Solving QUBO Problems with Hybrid Classical-Quantum Solvers | KOWALIK, SKIELER ALEXANDER | 2126 | §103 | Non-Final OA | — | Pending | Jul 05, 2023 |
| 18179085 | GRAPHITIC ROOM-TEMPERATURE SUPERCONDUCTOR | WARTALOWICZ, PAUL A | — | §101§112 | Non-Final OA | — | Pending | Mar 06, 2023 |
| 18053642 | METHOD AND SYSTEM FOR PERFORMING CRYPTOCURRENCY ASSET TRANSACTION | OYEBISI, OJO O | 3695 | §112 | Non-Final OA | 12d | Pending | Nov 08, 2022 |
| 17855010 | METHOD AND SYSTEM FOR CONVERTING PHYSIOLOGICAL SIGNALS | CLOW, LORI A | 1687 | §101§112 | Non-Final OA | 33d | Pending | Jun 30, 2022 |
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