Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Automated Machine Learning Limited is active in the Computing & Software technology area, where it currently has 1 pending office action. This prosecution activity is handled by 1 distinct examiner, reflecting a highly targeted focus for the company's current intellectual property efforts. The data also identifies 1 distinct art unit involved in these proceedings, which points to a specific technical classification for the company's machine learning innovations within the broader software landscape.
The busiest examiner assigned to this portfolio is ZENG, WENWEI, who is responsible for 1 busiest examiner pending office action. As the total count of pending office actions for the company is 1, this examiner is currently the sole point of contact for the company's active patent applications. This centralized prosecution structure means that the company's immediate outcomes in the Computing & Software space are entirely subject to the review of this one examiner. The simplicity of this profile suggests a very focused stage of patent activity with no current diversification across multiple examiners or art units.
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 only | 1 (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 |
|---|---|---|---|
| ZENG, WENWEI | 1 | — | — |
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 |
|---|---|---|---|
| 18213477 | METHODS AND DEVICES FOR OPERATING PREDICTIVE ENGINES | ZENG, WENWEI | 1d overdue |
| Art Unit | Apps |
|---|---|
| 2146 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18213477 | METHODS AND DEVICES FOR OPERATING PREDICTIVE ENGINES | ZENG, WENWEI | 2146 | §101 | Final Rejection | 1d overdue | Pending | Jun 23, 2023 |
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