Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Semiconductors, Circuits & Optics
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Moixa Energy Holdings Limited has 2 pending office actions in the Computing & Software technology area. These 2 actions are assigned to 2 distinct examiners, meaning each examiner is responsible for a pending matter. This split ensures that no single examiner has a dominant influence over the company's current pending portfolio. The 2 distinct examiners bring separate perspectives to the Computing & Software filings, requiring the applicant to tailor responses to each individual official.
The workload is divided between 2 distinct art units, indicating that the company's computing and software filings are being reviewed by different specialized groups. Santosh Raj Poudel is the busiest examiner for the portfolio, with 1 pending office action. This 1 action accounts for a portion of the 2 total pending actions currently facing the organization. The presence of 2 distinct art units indicates that the subject matter is categorized into different administrative silos within the USPTO.
With 2 distinct examiners across 2 distinct art units, the prosecution requires addressing two separate sets of technical and administrative expectations. Practitioners must manage these 2 pending office actions by tailoring their responses to the specific art unit environments and the individual preferences of Santosh Raj Poudel and the other examiner involved. The 1 pending office action under Santosh Raj Poudel is a key component of this small but technically divided portfolio. Maintaining consistency across the 2 distinct art units is essential for a cohesive strategy.
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 (50%) |
| §103 only | 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 |
|---|---|---|---|
| POUDEL, SANTOSH RAJ | 1 | 76.6% | +32.3% |
| PUENTES, DANIEL CALRISSIAN | 1 | 88.7% | +3.1% |
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 |
|---|---|---|---|
| 18624962 | SYSTEMS, DEVICES AND METHODS FOR ELECTRICITY PROVISION, USAGE MONITORING, ANALYSIS, AND ENABLING IMPROVEMENTS IN EFFICIENCY | PUENTES, DANIEL CALRISSIAN | 73d overdue |
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 |
|---|---|---|---|
| 19000425 | SYSTEMS FOR MACHINE LEARNING, OPTIMISING AND MANAGING LOCAL MULTI-ASSET FLEXIBILITY OF DISTRIBUTED ENERGY STORAGE RESOURCES | POUDEL, SANTOSH RAJ | — |
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 |
|---|---|---|---|
| 19000425 | SYSTEMS FOR MACHINE LEARNING, OPTIMISING AND MANAGING LOCAL MULTI-ASSET FLEXIBILITY OF DISTRIBUTED ENERGY STORAGE RESOURCES | POUDEL, SANTOSH RAJ | — |
| Art Unit | Apps |
|---|---|
| 2117 | 1 |
| 2849 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19000425 | SYSTEMS FOR MACHINE LEARNING, OPTIMISING AND MANAGING LOCAL MULTI-ASSET FLEXIBILITY OF DISTRIBUTED ENERGY STORAGE RESOURCES | POUDEL, SANTOSH RAJ | 2117 | §101§103§112 | Non-Final OA | — | Pending | Dec 23, 2024 |
| 18624962 | SYSTEMS, DEVICES AND METHODS FOR ELECTRICITY PROVISION, USAGE MONITORING, ANALYSIS, AND ENABLING IMPROVEMENTS IN EFFICIENCY | PUENTES, DANIEL CALRISSIAN | 2849 | §103 | Non-Final OA | 73d overdue | Pending | Apr 02, 2024 |
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