Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
5 pending office actions • 3 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready
Exebrain Co. Ltd. currently manages 5 pending office actions within the Medical Devices & Mechanical Engineering technology area. These 5 actions are spread across 5 distinct examiners and 3 distinct art units. This distribution indicates a relatively diverse portfolio where the 5 pending office actions are not concentrated under a single individual or a single technical subgroup. The variety of art units implies that the company's innovations span several technical sub-sectors within the field.
The busiest examiner for this company is ROZANSKI, GRACE NMN, who is responsible for 1 busiest examiner pending action. With 5 pending office actions and 5 distinct examiners, each examiner is managing only 1 of the company's active matters. The use of 3 distinct art units suggests that the 5 pending office actions cover several different technical niches within the Medical Devices & Mechanical Engineering field. Practitioners must coordinate across 5 different examiners and 3 different art units to manage the 5 pending office actions effectively. This decentralized structure requires a flexible approach to accommodate the varying preferences of multiple examiners across the 3 distinct art units.
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 | 2 (40%) |
| §103 only | 2 (40%) |
| 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 |
|---|---|---|---|
| ROZANSKI, GRACE NMN | 1 | 60.5% | +20.7% |
| SAINT-VIL, EDDY | 1 | 43.1% | +29.3% |
| ALDERSON, ANNE-MARIE K | 1 | 32.4% | +40.8% |
| MERRIAM, AARON ROGERS | 1 | 31.6% | +63.1% |
| KRETZER, KYLE W. | 1 | 64.8% | +41.5% |
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 |
|---|---|---|---|
| 17893456 | METHOD FOR TRANSMITTING COMPRESSED BRAINWAVE PHYSIOLOGICAL SIGNALS | MERRIAM, AARON ROGERS | 15d |
| 18964571 | NEUROFEEDBACK DEVICE WITH ELASTIC ELECTROENCEPHALOGRAPHY CAP | ROZANSKI, GRACE NMN | — |
| 17495805 | SYSTEM AND METHOD FOR PROVIDING REAL-TIME BIOLOGICAL FEEDBACK TRAINING THROUGH REMOTE TRANSMISSION | KRETZER, KYLE W. | — |
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 |
|---|---|---|---|
| 18827971 | METHOD FOR AUTOMATICALLY SCREENING NEUROFEEDBACK TRAINING PROTOCOLS AND RECOMMENDING RESULTS | ALDERSON, ANNE-MARIE K | 9d |
| 17893456 | METHOD FOR TRANSMITTING COMPRESSED BRAINWAVE PHYSIOLOGICAL SIGNALS | MERRIAM, AARON ROGERS | 15d |
| 18964571 | NEUROFEEDBACK DEVICE WITH ELASTIC ELECTROENCEPHALOGRAPHY CAP | ROZANSKI, GRACE NMN | — |
| 18829386 | METHOD FOR NEUROFEEDBACK TRAINING TO OUTPUT BRAIN-REGION REALITY | SAINT-VIL, EDDY | — |
| 17495805 | SYSTEM AND METHOD FOR PROVIDING REAL-TIME BIOLOGICAL FEEDBACK TRAINING THROUGH REMOTE TRANSMISSION | KRETZER, KYLE W. | — |
| Art Unit | Apps |
|---|---|
| 3791 | 2 |
| 3715 | 1 |
| 3682 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18964571 | NEUROFEEDBACK DEVICE WITH ELASTIC ELECTROENCEPHALOGRAPHY CAP | ROZANSKI, GRACE NMN | — | §103§112 | Non-Final OA | — | Pending | Dec 01, 2024 |
| 18829386 | METHOD FOR NEUROFEEDBACK TRAINING TO OUTPUT BRAIN-REGION REALITY | SAINT-VIL, EDDY | 3715 | §103 | Final Rejection | — | Pending | Sep 10, 2024 |
| 18827971 | METHOD FOR AUTOMATICALLY SCREENING NEUROFEEDBACK TRAINING PROTOCOLS AND RECOMMENDING RESULTS | ALDERSON, ANNE-MARIE K | 3682 | §103 | Non-Final OA | 9d | Pending | Sep 09, 2024 |
| 17893456 | METHOD FOR TRANSMITTING COMPRESSED BRAINWAVE PHYSIOLOGICAL SIGNALS | MERRIAM, AARON ROGERS | 3791 | §101§103§112 | Final Rejection | 15d | Pending | Aug 23, 2022 |
| 17495805 | SYSTEM AND METHOD FOR PROVIDING REAL-TIME BIOLOGICAL FEEDBACK TRAINING THROUGH REMOTE TRANSMISSION | KRETZER, KYLE W. | 3791 | §101§103§112 | Non-Final OA | — | Pending | Oct 06, 2021 |
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