Technology area: Computing & Software
4 pending office actions • 2 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
NFERENCE, INC. currently has 4 pending office actions in the Computing & Software technology area. These actions are assigned to 4 distinct examiners and 2 distinct art units. This distribution shows that the company's active cases are being reviewed by multiple individuals across a limited number of technical groups, which may provide a balance between diverse perspectives and technical consistency.
SHAH, UTPAL D is identified as the busiest examiner for the company, currently handling 1 pending office action. With 4 pending office actions and 4 distinct examiners in the portfolio, each examiner is responsible for 1 case. This indicates that no single examiner has a concentrated workload for the company, even though the 4 distinct examiners are working within only 2 distinct art units.
The concentration of the portfolio within 2 distinct art units suggests that the company's Computing & Software applications are technically related. Practitioners should be aware that while SHAH, UTPAL D handles 1 pending office action, the other three cases are being reviewed by different examiners. Coordinating the prosecution of these 4 pending office actions across 2 distinct art units will be essential for maintaining a unified legal strategy.
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 (50%) |
| §103 only | 1 (25%) |
| Double-patenting only | 1 (25%) |
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 |
|---|---|---|---|
| SHAH, UTPAL D | 1 | 87.9% | +11.3% |
| RAJAPUTRA, SUMAN | 1 | 69.5% | +37.5% |
| PULLIAM, JOSEPH CONSTANTINE | 1 | 38.1% | +31.2% |
| LEE, MICHAEL CHRISTOPHER | 1 | 62.5% | +25.1% |
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 |
|---|---|---|---|
| 18927795 | APPARATUS FOR AND METHOD OF DE-IDENTIFICATION OF MEDICAL IMAGES | SHAH, UTPAL D | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18048197 | System and method for improving efficacy of supervised learning | LEE, MICHAEL CHRISTOPHER | 72d |
| 18087337 | METHOD OF AND SYSTEM FOR PREDICTION OF VIRAL VARIANTS CHARACTERISTICS | PULLIAM, JOSEPH CONSTANTINE | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18643174 | APPARATUS AND METHOD FOR GENERATING A MEDICAL DATABASE QUERY | RAJAPUTRA, SUMAN | 99d overdue |
| 18048197 | System and method for improving efficacy of supervised learning | LEE, MICHAEL CHRISTOPHER | 72d |
| 18927795 | APPARATUS FOR AND METHOD OF DE-IDENTIFICATION OF MEDICAL IMAGES | SHAH, UTPAL D | — |
| 18087337 | METHOD OF AND SYSTEM FOR PREDICTION OF VIRAL VARIANTS CHARACTERISTICS | PULLIAM, JOSEPH CONSTANTINE | — |
| Art Unit | Apps |
|---|---|
| 2163 | 1 |
| 2128 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18927795 | APPARATUS FOR AND METHOD OF DE-IDENTIFICATION OF MEDICAL IMAGES | SHAH, UTPAL D | — | DP | Non-Final OA | — | Pending | Oct 25, 2024 |
| 18643174 | APPARATUS AND METHOD FOR GENERATING A MEDICAL DATABASE QUERY | RAJAPUTRA, SUMAN | 2163 | §103 | Final Rejection | 99d overdue | Pending | Apr 23, 2024 |
| 18087337 | METHOD OF AND SYSTEM FOR PREDICTION OF VIRAL VARIANTS CHARACTERISTICS | PULLIAM, JOSEPH CONSTANTINE | — | §101§103§112 | Non-Final OA | — | Pending | Dec 22, 2022 |
| 18048197 | System and method for improving efficacy of supervised learning | LEE, MICHAEL CHRISTOPHER | 2128 | §101§103 | Final Rejection | 72d | Pending | Oct 20, 2022 |
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