Prosecution Insights
Prosecution Insights
1 pending office actions • 0 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Multicom Technologies Inc. currently has 1 pending office action in its company patent portfolio. This action is being handled by 1 distinct examiner, GRUSZKA, DANIEL PATRICK. As the busiest examiner for the company, GRUSZKA, DANIEL PATRICK is responsible for the 1 pending office action reported.
With only 1 distinct examiner and the 1 pending office action, the prosecution activity is highly consolidated. This profile indicates that the company's current interactions with the patent office are limited to 1 examiner. The data shows 0 distinct art units, suggesting that the current matter is the focus of the portfolio's prosecution at this time. This 1 pending office action represents all current activity.
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 |
|---|---|
| §103 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 |
|---|---|---|---|
| GRUSZKA, DANIEL PATRICK | 1 | 40.0% | +66.7% |
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 |
|---|---|---|---|
| 18666958 | SYSTEMS AND METHODS FOR TRAINING DEEP LEARNING MODELS | GRUSZKA, DANIEL PATRICK | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18666958 | SYSTEMS AND METHODS FOR TRAINING DEEP LEARNING MODELS | GRUSZKA, DANIEL PATRICK | — | §103 | Non-Final OA | — | Pending | May 17, 2024 |
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