Prosecution Insights
Prosecution Insights
Technology area: Communications
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Blueskeye AI Ltd. currently has 3 pending office actions within the Communications technology area. These actions are distributed among 3 distinct examiners, yet all are housed within 1 distinct art unit. This indicates that while different individuals are reviewing the applications, the subject matter is concentrated within 1 distinct art unit at the patent office. The fact that the distinct examiners are working within a single art unit suggests thematic consistency in the company's Communications-related filings.
KEVIN KY is the busiest examiner for the portfolio, with 1 pending office action. This is one of the total pending actions. Because the company has multiple pending office actions but only a single distinct art unit, the prosecution strategy appears focused on a specific niche within the Communications field. This concentration allows for a consistent examination environment even as different examiners provide perspectives on the individual applications. The focus on a single art unit for all Communications filings simplifies the administrative aspect of prosecution.
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 + other | 1 (33%) |
| Multi-statute (no §101) | 2 (67%) |
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 |
|---|---|---|---|
| KY, KEVIN | 1 | 77.4% | +25.2% |
| OMETZ, RACHEL ANNE | 1 | 73.2% | +30.2% |
| 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18364709 | Multistage Audio-Visual Automotive Cab Monitoring | OMETZ, RACHEL ANNE | 86d |
| 18942693 | Generative Neural Network For Synthesis Of Faces And Behaviors | KY, KEVIN | — |
| 18005862 | Context Aware Assessment | 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18364709 | Multistage Audio-Visual Automotive Cab Monitoring | OMETZ, RACHEL ANNE | 86d |
| 18942693 | Generative Neural Network For Synthesis Of Faces And Behaviors | KY, KEVIN | — |
| 18005862 | Context Aware Assessment | KRIANGCHAIVECH, KETTIP | — |
| Art Unit | Apps |
|---|---|
| 2668 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18942693 | Generative Neural Network For Synthesis Of Faces And Behaviors | KY, KEVIN | — | §103§112Other | Non-Final OA | — | Pending | Nov 09, 2024 |
| 18364709 | Multistage Audio-Visual Automotive Cab Monitoring | OMETZ, RACHEL ANNE | 2668 | §103§112 | Final Rejection | 86d | Pending | Aug 03, 2023 |
| 18005862 | Context Aware Assessment | KRIANGCHAIVECH, KETTIP | — | §101§102§103 | Non-Final OA | — | Pending | Jan 18, 2023 |
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