Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Anno.ai, Inc. has 2 pending office actions within the Communications technology area. These matters are distributed across 2 distinct examiners and a pair of distinct art units. CAMMARATA, MICHAEL ROBERT is the busiest examiner for the portfolio, currently managing 1 pending office action.
The presence of the pending office actions across the assigned examiners and art units suggests a diversified prosecution profile within the Communications field. Each pending matter is handled by a different examiner in a different art unit, requiring separate strategies for each. CAMMARATA, MICHAEL ROBERT handles 1 pending office action, representing a significant portion of the current pending workload. Practitioners should account for the unique procedural environment of each of the distinct art units. This arrangement indicates that the portfolio's current filings are technically distinct enough to be reviewed by different specialized groups. Consequently, the prosecution strategy must be tailored to the specific expectations and historical data of each art unit and examiner involved. The alignment of these figures reflects a broad approach to intellectual property development.
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 |
|---|---|
| §103 only | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| CAMMARATA, MICHAEL ROBERT | 1 | 69.8% | +34.5% |
| ARMSTRONG, JONATHAN D | 1 | 55.1% | +3.6% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18456926 | GEOPOSITION DETERMINATION AND EVALUATION OF SAME USING A 2-D OBJECT DETECTION SENSOR CALIBRATED WITH A SPATIAL MODEL | CAMMARATA, MICHAEL ROBERT | 92d overdue |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18456926 | GEOPOSITION DETERMINATION AND EVALUATION OF SAME USING A 2-D OBJECT DETECTION SENSOR CALIBRATED WITH A SPATIAL MODEL | CAMMARATA, MICHAEL ROBERT | 92d overdue |
| Art Unit | Apps |
|---|---|
| 2667 | 1 |
| 3645 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18456926 | GEOPOSITION DETERMINATION AND EVALUATION OF SAME USING A 2-D OBJECT DETECTION SENSOR CALIBRATED WITH A SPATIAL MODEL | CAMMARATA, MICHAEL ROBERT | 2667 | §103§112 | Non-Final OA | 92d overdue | Pending | Aug 28, 2023 |
| 18087500 | Device and System to Identify a Water-Based Vessel using Acoustic Signatures | ARMSTRONG, JONATHAN D | 3645 | §103 | Final Rejection | 111d overdue | Pending | Dec 22, 2022 |
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