Technology area: Computing & Software
2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Agilesoda Inc. holds a company patent portfolio in the Computing & Software technology area. The portfolio currently has 2 pending office actions. While there are 2 distinct examiners assigned to these cases, they both operate within 1 distinct art unit. This suggests that while the individual reviewers differ, the technical classification and the overarching examination standards of the 1 distinct art unit remain consistent across the pending workload.
DRAPEAU, SIMEON PAUL is identified as the busiest examiner for this portfolio. This examiner is responsible for 1 busiest examiner pending office action. Given that there are 2 pending office actions in total, the 2 distinct examiners are each handling 1 of the pending office actions. For a practitioner, this scenario provides an opportunity to compare the approaches of different examiners within the same 1 distinct art unit. This concentration in 1 distinct art unit simplifies the technical landscape while the use of 2 distinct examiners provides some diversification of the review process.
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 (100%) |
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 |
|---|---|---|---|
| DRAPEAU, SIMEON PAUL | 1 | 18.8% | +70.3% |
| STOICA, ADRIAN | 1 | 67.4% | +31.9% |
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 |
|---|---|---|---|
| 17878451 | REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA | STOICA, ADRIAN | 155d overdue |
| 18082823 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA | DRAPEAU, SIMEON PAUL | 21d |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17878451 | REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA | STOICA, ADRIAN | 155d overdue |
| 18082823 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA | DRAPEAU, SIMEON PAUL | 21d |
| Art Unit | Apps |
|---|---|
| 2188 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18082823 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA | DRAPEAU, SIMEON PAUL | 2188 | §101§102§112 | Non-Final OA | 21d | Pending | Dec 16, 2022 |
| 17878451 | REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA | STOICA, ADRIAN | 2188 | §101§103§112Other | Non-Final OA | 155d overdue | Pending | Aug 01, 2022 |
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