Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Kunato Inc. has 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These matters are distributed across 3 distinct art units. The company interacts with 3 distinct examiners. The 3 distinct art units show that each of the 3 active filings is in a different technical category within the transportation sector.
LOC TRAN is the busiest examiner, with 1 pending action. With 3 pending office actions and 3 distinct examiners, each examiner is responsible for exactly one matter. This means the company's current prosecution is divided among 3 distinct examiners across 3 distinct art units. For a practitioner, this indicates that each of the 3 pending office actions requires a unique approach, as there is no overlap in the examiners or the technical groups responsible for reviewing the company's applications.
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 (67%) |
| §103 only | 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 |
|---|---|---|---|
| CIRNU, ALEXANDRU | 1 | 42.7% | +21.3% |
| TRAN, LOC | 1 | 83.8% | +24.1% |
| ANSARI, AZAM A | 1 | 47.4% | +47.8% |
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.
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 |
|---|---|---|---|
| 19299082 | INTELLIGENT ADVERTISEMENT PLACEMENT SYSTEM USING REINFORCEMENT LEARNING AND QUANTITATIVE MARKET VALUE | CIRNU, ALEXANDRU | — |
| 18798869 | INTEGRATED SYSTEM AND METHOD FOR CONTEXTUAL, INTERACTIVE AND REWARDING ADVERTISEMENTS | ANSARI, AZAM A | — |
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 |
|---|---|---|---|
| 19299082 | INTELLIGENT ADVERTISEMENT PLACEMENT SYSTEM USING REINFORCEMENT LEARNING AND QUANTITATIVE MARKET VALUE | CIRNU, ALEXANDRU | — |
| 19298773 | METHOD, APPARATUS, AND COMPUTER-READABLE MEDIUM FOR ATTRIBUTE PROPAGATION | TRAN, LOC | — |
| 18798869 | INTEGRATED SYSTEM AND METHOD FOR CONTEXTUAL, INTERACTIVE AND REWARDING ADVERTISEMENTS | ANSARI, AZAM A | — |
| Art Unit | Apps |
|---|---|
| 3622 | 1 |
| 2164 | 1 |
| 3600 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19299082 | INTELLIGENT ADVERTISEMENT PLACEMENT SYSTEM USING REINFORCEMENT LEARNING AND QUANTITATIVE MARKET VALUE | CIRNU, ALEXANDRU | 3622 | §101§103§112 | Non-Final OA | — | Pending | Aug 13, 2025 |
| 19298773 | METHOD, APPARATUS, AND COMPUTER-READABLE MEDIUM FOR ATTRIBUTE PROPAGATION | TRAN, LOC | 2164 | §103 | Non-Final OA | — | Pending | Aug 13, 2025 |
| 18798869 | INTEGRATED SYSTEM AND METHOD FOR CONTEXTUAL, INTERACTIVE AND REWARDING ADVERTISEMENTS | ANSARI, AZAM A | 3600 | §101§103 | Final Rejection | — | Pending | Aug 09, 2024 |
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