Technology areas: Biotechnology & Pharmaceuticals • Computing & Software • Networking & Security • Communications
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 9 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 4 distinct art units. SHAH, UTPAL D is the busiest examiner, responsible for 1 pending office action.
This reflects a perfectly distributed workload where each of the 4 pending office actions is handled by a different examiner. The use of 4 distinct examiners and 4 distinct art units for 4 pending office actions suggests a lack of examiner concentration. Practitioners must navigate 4 separate examiner styles to resolve the current pending matters.
The one to one ratio between the 4 pending office actions and the 4 distinct examiners indicates a broad prosecution front within the Computing & Software sector. Since SHAH, UTPAL D only manages 1 pending office action, no single examiner holds a majority of the pending workload. This variety requires a flexible prosecution approach to accommodate the distinct procedural tendencies of 4 different examiners.
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 | 1 (20%) |
| Double-patenting only | 1 (20%) |
| 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 |
|---|---|---|---|
| CERVETTI, DAVID GARCIA | 1 | 82.7% | +15.3% |
| SHAH, UTPAL D | 1 | 87.8% | +11.4% |
| RAJAPUTRA, SUMAN | 1 | 68.6% | +37.4% |
| PULLIAM, JOSEPH CONSTANTINE | 1 | 38.5% | +33.2% |
| LEE, MICHAEL CHRISTOPHER | 1 | 64.0% | +25.5% |
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 |
|---|---|---|---|
| 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18048197 | System and method for improving efficacy of supervised learning | LEE, MICHAEL CHRISTOPHER | 72d |
| 19434580 | APPARATUS AND A METHOD FOR THE ANONYMIZATION OF USER DATA | CERVETTI, DAVID GARCIA | — |
| 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 5 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 |
| 19434580 | APPARATUS AND A METHOD FOR THE ANONYMIZATION OF USER DATA | CERVETTI, DAVID GARCIA | — |
| 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 |
|---|---|
| 2431 | 1 |
| 2668 | 1 |
| 2163 | 1 |
| 1687 | 1 |
| 2128 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19434580 | APPARATUS AND A METHOD FOR THE ANONYMIZATION OF USER DATA | CERVETTI, DAVID GARCIA | 2431 | §102§112 | Non-Final OA | — | Pending | Dec 29, 2025 |
| 18927795 | APPARATUS FOR AND METHOD OF DE-IDENTIFICATION OF MEDICAL IMAGES | SHAH, UTPAL D | 2668 | 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 | 1687 | §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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Start Free TrialNFERENCE, INC. has 5 pending office actions as of October 2026, spread across 5 art units and 5 examiners.
David Garcia Cervetti has the most, with 1 of NFERENCE, INC.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
