Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
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
Pranaq Pte. Ltd. operates a company patent portfolio within the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio currently has 2 pending office actions, which are distributed across 2 distinct examiners. This distribution indicates that the company's active matters are being reviewed by different individuals, providing a variety of examiner perspectives on their pending applications.
The pending office actions are also split between distinct art units, suggesting that the inventions involve different technical sub-categories. The busiest examiner, NEWTON, CHAD A, is currently handling 1 busiest examiner pending office action. This accounts for a portion of the active workload currently active for the company.
Because the workload is divided between 2 distinct examiners and art units, the company must manage multiple prosecution tracks. This structure requires a strategy that can adapt to the different requirements of NEWTON, CHAD A and other assigned officials. The lack of concentration in a single art unit suggests a diverse technical foundation for the company's current intellectual property filings.
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 (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 |
|---|---|---|---|
| NEWTON, CHAD A | 1 | 37.6% | +23.2% |
| MOHAMMED, SHAHDEEP | 1 | 51.8% | +56.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18195365 | PHOTOPLETHYSMOGRAM SYSTEM AND METHOD | MOHAMMED, SHAHDEEP | 40d |
| 18670154 | METHOD AND SYSTEM FOR ENHANCED DETECTION AND COUNTING OF RESPIRATORY EVENTS USING MACHINE LEARNING MODELS | NEWTON, CHAD A | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18195365 | PHOTOPLETHYSMOGRAM SYSTEM AND METHOD | MOHAMMED, SHAHDEEP | 40d |
| 18670154 | METHOD AND SYSTEM FOR ENHANCED DETECTION AND COUNTING OF RESPIRATORY EVENTS USING MACHINE LEARNING MODELS | NEWTON, CHAD A | — |
| Art Unit | Apps |
|---|---|
| 3681 | 1 |
| 3797 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18670154 | METHOD AND SYSTEM FOR ENHANCED DETECTION AND COUNTING OF RESPIRATORY EVENTS USING MACHINE LEARNING MODELS | NEWTON, CHAD A | 3681 | §101 | Final Rejection | — | Pending | May 21, 2024 |
| 18195365 | PHOTOPLETHYSMOGRAM SYSTEM AND METHOD | MOHAMMED, SHAHDEEP | 3797 | §103§112 | Final Rejection | 40d | Pending | May 09, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial