Technology areas: Computing & Software • Communications
7 pending office actions • 2 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Quantiphi Inc. currently has 7 pending office actions in the Computing & Software technology area. These actions are distributed among 7 distinct examiners, resulting in a unique examiner for every pending matter. The portfolio is active across 2 distinct art units, indicating a very focused technical scope despite the involvement of 7 distinct examiners.
Paul Michael Galvin-Siebenaler is the busiest examiner for the company, overseeing 1 pending office action. The concentration of 7 pending office actions within only 2 distinct art units suggests that the company's current prosecution is technically specialized. This allows for a strategy that addresses 7 different examiner styles while operating within a narrow technical and administrative framework at the patent office.
For a patent practitioner, the 7 pending office actions represent 7 separate interactions within the Computing & Software field. Because these actions are grouped into only 2 distinct art units, there may be commonalities in the prior art or legal issues raised across the portfolio. However, the 7 distinct examiners will each bring their own perspective to the 7 pending matters, requiring a tailored approach for each of the 7 actions.
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 |
|---|---|
| §101 only | 2 (29%) |
| §101 + other | 5 (71%) |
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 |
|---|---|---|---|
| GALVIN-SIEBENALER, PAUL MICHAEL | 1 | 27.3% | +27.8% |
| NORTON, JENNIFER L | 1 | 49.8% | +2.5% |
| RIVERA, ANIBAL | 1 | 90.9% | +11.9% |
| TSAI, JAMES T | 1 | 63.4% | +56.9% |
| THOMPSON, ALMA BENNETT | 1 | — | — |
| KAZEMINEZHAD, FARZAD | 1 | 71.1% | +66.5% |
| KRIANGCHAIVECH, KETTIP | 1 | 19.3% | +28.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18457607 | SYSTEM AND METHOD FOR MULTI-STAGE PROCESSING OF USER QUERY FOR ENHANCED INFORMATION RETRIEVAL | KAZEMINEZHAD, FARZAD | 62d |
| 18766733 | METHOD AND SYSTEM FOR OPTIMIZING PERFORMANCE OF GENETIC ALGORITHM IN SOLVING SCHEDULING PROBLEMS | GALVIN-SIEBENALER, PAUL MICHAEL | — |
| 18732269 | SYSTEM AND METHOD FOR INTELLIGENT SCHEDULING OF MANUFACTURING JOBS | NORTON, JENNIFER L | — |
| 18627430 | SYSTEM AND METHOD FOR GENERATION OF SUB-SKILLS | RIVERA, ANIBAL | — |
| 18527077 | METHOD AND SYSTEM FOR PERSONALIZED MULTIMODAL RESPONSE GENERATION THROUGH VIRTUAL AGENTS | TSAI, JAMES T | — |
| 18511796 | METHOD AND SYSTEM FOR INTEGRATED MULTIMODAL INPUT PROCESSING FOR VIRTUAL AGENTS | THOMPSON, ALMA BENNETT | — |
| 18147052 | SYSTEM AND METHOD FOR TRANSLATING IMAGE OF STRUCTURAL FORMULA OF CHEMICAL MOLECULE INTO TEXTUAL IDENTIFIER THEREFOR | KRIANGCHAIVECH, KETTIP | — |
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 |
|---|---|---|---|
| 18457607 | SYSTEM AND METHOD FOR MULTI-STAGE PROCESSING OF USER QUERY FOR ENHANCED INFORMATION RETRIEVAL | KAZEMINEZHAD, FARZAD | 62d |
| 18766733 | METHOD AND SYSTEM FOR OPTIMIZING PERFORMANCE OF GENETIC ALGORITHM IN SOLVING SCHEDULING PROBLEMS | GALVIN-SIEBENALER, PAUL MICHAEL | — |
| 18627430 | SYSTEM AND METHOD FOR GENERATION OF SUB-SKILLS | RIVERA, ANIBAL | — |
| 18527077 | METHOD AND SYSTEM FOR PERSONALIZED MULTIMODAL RESPONSE GENERATION THROUGH VIRTUAL AGENTS | TSAI, JAMES T | — |
| 18147052 | SYSTEM AND METHOD FOR TRANSLATING IMAGE OF STRUCTURAL FORMULA OF CHEMICAL MOLECULE INTO TEXTUAL IDENTIFIER THEREFOR | KRIANGCHAIVECH, KETTIP | — |
| Art Unit | Apps |
|---|---|
| 2115 | 1 |
| 2653 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18766733 | METHOD AND SYSTEM FOR OPTIMIZING PERFORMANCE OF GENETIC ALGORITHM IN SOLVING SCHEDULING PROBLEMS | GALVIN-SIEBENALER, PAUL MICHAEL | — | §101§103 | Non-Final OA | — | Pending | Jul 09, 2024 |
| 18732269 | SYSTEM AND METHOD FOR INTELLIGENT SCHEDULING OF MANUFACTURING JOBS | NORTON, JENNIFER L | — | §101 | Non-Final OA | — | Pending | Jun 03, 2024 |
| 18627430 | SYSTEM AND METHOD FOR GENERATION OF SUB-SKILLS | RIVERA, ANIBAL | 2115 | §101§103§112 | Final Rejection | — | Pending | Apr 04, 2024 |
| 18527077 | METHOD AND SYSTEM FOR PERSONALIZED MULTIMODAL RESPONSE GENERATION THROUGH VIRTUAL AGENTS | TSAI, JAMES T | — | §101§103 | Final Rejection | — | Pending | Dec 01, 2023 |
| 18511796 | METHOD AND SYSTEM FOR INTEGRATED MULTIMODAL INPUT PROCESSING FOR VIRTUAL AGENTS | THOMPSON, ALMA BENNETT | — | §101§102§103 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18457607 | SYSTEM AND METHOD FOR MULTI-STAGE PROCESSING OF USER QUERY FOR ENHANCED INFORMATION RETRIEVAL | KAZEMINEZHAD, FARZAD | 2653 | §101 | Non-Final OA | 62d | Pending | Aug 29, 2023 |
| 18147052 | SYSTEM AND METHOD FOR TRANSLATING IMAGE OF STRUCTURAL FORMULA OF CHEMICAL MOLECULE INTO TEXTUAL IDENTIFIER THEREFOR | KRIANGCHAIVECH, KETTIP | — | §101§102§103§112 | Non-Final OA | — | Pending | Dec 28, 2022 |
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