Technology areas: Computing & Software • Communications
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Reve AI Inc. currently has 4 pending office actions in the Communications technology area. This portfolio of 4 pending actions reflects the company's active pursuit of patent protection for its communications-related artificial intelligence innovations. The focus on the Communications sector is the primary area of activity for its current filings, showing a commitment to securing rights in a competitive technological field.
The prosecution is distributed among 4 distinct examiners and 4 distinct art units. With 4 pending office actions and 4 distinct examiners, every active case is being handled by a different individual at the patent office. The involvement of 4 distinct art units further indicates that each of these 4 pending office actions is being reviewed within a different specialized department, requiring the company to adapt to different departmental guidelines.
CREARY, LATRELL ANTHONY is the busiest examiner for the portfolio, with 1 busiest examiner pending action. Since the total pending office actions number 4 and the busiest examiner pending count is 1, the workload is perfectly distributed across the 4 distinct examiners. This decentralized structure across 4 distinct art units requires the company to manage four separate examiner relationships simultaneously to advance its 4 total pending office actions and secure its patent rights.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 | 3 (75%) |
| §102 only | 1 (25%) |
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 |
|---|---|---|---|
| CREARY, LATRELL ANTHONY | 1 | 76.2% | +37.0% |
| PHAM, THIERRY L | 1 | 80.6% | +5.0% |
| SPOONER, LAMONT M | 1 | 73.6% | +12.0% |
| AUGUSTINE, NICHOLAS | 1 | 72.7% | +28.2% |
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.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19301222 | SYSTEMS AND METHODS FOR CONTEXTUAL AND SEMANTIC SUMMARIZATION | PHAM, THIERRY L | 36d 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19072869 | NATURAL LANGUAGE CONTROL OF CONTENT GENERATION MODELS WITH SELF-CORRECTING ITERATIVE CONTENT GENERATION | SPOONER, LAMONT M | 31d overdue |
| 19072883 | MULTI-MODAL CONSISTENCY VERIFICATION AND HARMONIZATION MODELS | AUGUSTINE, NICHOLAS | 4d overdue |
| 19561775 | TEXT TO IMAGE SYSTEM WITH ENHANCED TEXT ADHERENCE, RESIDUAL BLOCK MODULATION FOR MODEL TRAINING, AND ADAPTIVE TEXT ENCODING | CREARY, LATRELL ANTHONY | — |
| Art Unit | Apps |
|---|---|
| 2613 | 1 |
| 2654 | 1 |
| 2657 | 1 |
| 2178 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19561775 | TEXT TO IMAGE SYSTEM WITH ENHANCED TEXT ADHERENCE, RESIDUAL BLOCK MODULATION FOR MODEL TRAINING, AND ADAPTIVE TEXT ENCODING | CREARY, LATRELL ANTHONY | 2613 | §103 | Final Rejection | — | Pending | Mar 10, 2026 |
| 19301222 | SYSTEMS AND METHODS FOR CONTEXTUAL AND SEMANTIC SUMMARIZATION | PHAM, THIERRY L | 2654 | §102 | Final Rejection | 36d overdue | Pending | Aug 15, 2025 |
| 19072869 | NATURAL LANGUAGE CONTROL OF CONTENT GENERATION MODELS WITH SELF-CORRECTING ITERATIVE CONTENT GENERATION | SPOONER, LAMONT M | 2657 | §103 | Final Rejection | 31d overdue | Pending | Mar 06, 2025 |
| 19072883 | MULTI-MODAL CONSISTENCY VERIFICATION AND HARMONIZATION MODELS | AUGUSTINE, NICHOLAS | 2178 | §103 | Final Rejection | 4d overdue | Pending | Mar 06, 2025 |
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