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
Ecoplant Technological Innovation Ltd. operates a company patent portfolio in the Computing & Software technology area. There is currently 1 pending office action associated with this portfolio. This figure represents the total volume of outstanding responses required by the patent office at this time.
The portfolio's prosecution involves 1 distinct art unit and 1 distinct examiner. Because the 1 pending office action is handled by a single examiner, the company's current patenting activities are confined to a very specific regulatory channel. This concentration simplifies the logistical oversight of the portfolio's intellectual property assets.
ALI, NAYMUR RAHMAN is the busiest examiner for the portfolio, holding 1 busiest examiner pending office action. This examiner is responsible for the entirety of the company's pending workload. Prosecution success for the current assets depends on addressing the specific concerns raised by this examiner within the 1 distinct art unit identified.
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 |
|---|---|
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| ALI, NAYMUR RAHMAN | 1 | 0.0% | +0.0% |
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 |
|---|---|---|---|
| 18121099 | MACHINE LEARNING BASED DETECTION OF COMPRESSED AIR LEAKS | ALI, NAYMUR RAHMAN | 8d overdue |
| Art Unit | Apps |
|---|---|
| 2123 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18121099 | MACHINE LEARNING BASED DETECTION OF COMPRESSED AIR LEAKS | ALI, NAYMUR RAHMAN | 2123 | §103§112 | Final Rejection | 8d overdue | Pending | Mar 14, 2023 |
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