Prosecution Insights
Prosecution Insights
Technology area: Semiconductors, Circuits & Optics
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Hyperspectral Corp. is currently navigating 3 pending office actions within the Semiconductors, Circuits & Optics technology area. These matters are distributed among 3 distinct examiners, resulting in a variety of individual perspectives on their patent applications. Despite the variety of examiners, all pending actions are located within 1 distinct art unit, which centralizes the administrative oversight of their portfolio.
KIDWELL, KAITLYN ELIZABETH is the busiest examiner for this company, currently managing 1 pending office action. The presence of 3 distinct examiners within a single art unit suggests that while the technical field is narrow, the company is engaging with multiple individuals in that group. This structure may lead to varied feedback even within a single specialized administrative unit.
With multiple examiners and 1 distinct art unit involved, the company's prosecution landscape is relatively focused. This allows for a concentrated approach to addressing examiner concerns within the Semiconductors, Circuits & Optics sector. The company can leverage its experience within the specified art unit to better understand the technical standards and procedural expectations that apply to its applications, even as it manages interactions with several examiners.
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 | 2 (67%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| KIDWELL, KAITLYN ELIZABETH | 1 | 78.0% | +20.0% |
| MARINI, MATTHEW G | 1 | 60.5% | +21.9% |
| PULLIAM, JOSEPH CONSTANTINE | 1 | 38.1% | +31.2% |
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 |
|---|---|---|---|
| 19080483 | SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS USING SPECTRAL ANALYSIS | KIDWELL, KAITLYN ELIZABETH | — |
| 18346749 | SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS BY ANALYZING SPECTRAL DATA | PULLIAM, JOSEPH CONSTANTINE | — |
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 |
|---|---|---|---|
| 18358798 | SYSTEMS AND METHODS FOR DETECTING PARTICLES OF INTEREST USING SPECTRAL ANALYSIS | MARINI, MATTHEW G | 2d overdue |
| 19080483 | SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS USING SPECTRAL ANALYSIS | KIDWELL, KAITLYN ELIZABETH | — |
| 18346749 | SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS BY ANALYZING SPECTRAL DATA | PULLIAM, JOSEPH CONSTANTINE | — |
| Art Unit | Apps |
|---|---|
| 2853 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19080483 | SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS USING SPECTRAL ANALYSIS | KIDWELL, KAITLYN ELIZABETH | — | §101§103 | Non-Final OA | — | Pending | Mar 14, 2025 |
| 18358798 | SYSTEMS AND METHODS FOR DETECTING PARTICLES OF INTEREST USING SPECTRAL ANALYSIS | MARINI, MATTHEW G | 2853 | §103 | Final Rejection | 2d overdue | Pending | Jul 25, 2023 |
| 18346749 | SYSTEMS AND METHODS FOR DETECTING FOODBORNE PATHOGENS BY ANALYZING SPECTRAL DATA | PULLIAM, JOSEPH CONSTANTINE | — | §101§103 | Non-Final OA | — | Pending | Jul 03, 2023 |
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