Technology area: Communications
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Claripi Inc. has 2 pending office actions in Communications. The matters are assigned to 2 distinct examiners and 2 distinct art units.
WAMBST, DAVID ALEXANDER is the busiest examiner, with 1 pending matter. The separate assignments support coordinated communications claim themes, but each response should be tailored to its own examiner and art-unit record.
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 |
|---|---|
| §103 only | 1 (33%) |
| §112 only | 1 (33%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| TRAN, JENNY NGAN | 1 | 41.7% | +50.0% |
| WAMBST, DAVID ALEXANDER | 1 | 70.0% | +46.2% |
| CHANG, DANIEL CHEOLJIN | 1 | 88.2% | +14.4% |
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 |
|---|---|---|---|
| 18771538 | APPARATUS AND METHOD FOR DEEP LEARNING-BASED MEDICAL IMAGE STYLE NEUTRALIZATION | CHANG, DANIEL CHEOLJIN | — |
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 |
|---|---|---|---|
| 18771443 | APPARATUS AND METHOD FOR AUDITING OF ARTIFICIAL INTELLIGENCE-BASED MEDICAL IMAGE SEGMENTATION | WAMBST, DAVID ALEXANDER | — |
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 |
|---|---|---|---|
| 18811465 | APPARATUS AND METHOD FOR DENOISING OF MEDICAL IMAGE | TRAN, JENNY NGAN | 13d |
| 18771443 | APPARATUS AND METHOD FOR AUDITING OF ARTIFICIAL INTELLIGENCE-BASED MEDICAL IMAGE SEGMENTATION | WAMBST, DAVID ALEXANDER | — |
| 18771538 | APPARATUS AND METHOD FOR DEEP LEARNING-BASED MEDICAL IMAGE STYLE NEUTRALIZATION | CHANG, DANIEL CHEOLJIN | — |
| Art Unit | Apps |
|---|---|
| 2615 | 1 |
| 2663 | 1 |
| 2669 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18811465 | APPARATUS AND METHOD FOR DENOISING OF MEDICAL IMAGE | TRAN, JENNY NGAN | 2615 | §103 | Non-Final OA | 13d | Pending | Aug 21, 2024 |
| 18771443 | APPARATUS AND METHOD FOR AUDITING OF ARTIFICIAL INTELLIGENCE-BASED MEDICAL IMAGE SEGMENTATION | WAMBST, DAVID ALEXANDER | 2663 | §102§103 | Final Rejection | — | Pending | Jul 12, 2024 |
| 18771538 | APPARATUS AND METHOD FOR DEEP LEARNING-BASED MEDICAL IMAGE STYLE NEUTRALIZATION | CHANG, DANIEL CHEOLJIN | 2669 | §112 | Final Rejection | — | Pending | Jul 12, 2024 |
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Start Free TrialClaripi Inc. has 3 pending office actions as of October 2026, spread across 3 art units and 3 examiners.
Jenny Ngan Tran has the most, with 1 of Claripi Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
