Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Arize AI Inc. has 2 pending office actions in the Networking & Security technology area. These actions are split between 2 distinct art units, showing a varied technical distribution within the networking sector. The presence of 2 pending office actions indicates that the company is actively pursuing multiple distinct innovations within the networking and security field.
The company's prosecution involves 2 distinct examiners. HUSSAIN, IMAD is the busiest examiner for Arize AI Inc., currently managing 1 pending office action. The presence of 2 distinct examiners and 2 distinct art units for 2 pending office actions indicates that each of the company's current applications is being reviewed in a separate specialized area of the patent office. This ensures that each matter is evaluated by an examiner with specific expertise in the relevant art unit.
For practitioners, this distribution across 2 distinct examiners and 2 distinct art units means that prosecution strategies must be tailored to the specific expectations of each individual examiner. There is no central examiner handling multiple matters, which may lead to independent outcomes for each application. The focus on Networking & Security remains the unifying theme across these diverse prosecution paths, with HUSSAIN, IMAD handling one of the matters.
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 (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 |
|---|---|---|---|
| HUSSAIN, IMAD | 1 | 81.9% | +15.8% |
| GRUSZKA, DANIEL PATRICK | 1 | 40.0% | +66.7% |
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 |
|---|---|---|---|
| 18300093 | SYSTEMS AND METHODS FOR OPTIMIZING A MACHINE LEARNING MODEL BASED ON A PARITY METRIC | GRUSZKA, DANIEL PATRICK | 79d overdue |
| 18768955 | ARTIFICIAL INTELLIGENCE BASED ASSISTANTS TO BUILD AND DEBUG ARTIFICIAL INTELLIGENCE MODELS | HUSSAIN, IMAD | — |
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 |
|---|---|---|---|
| 18300093 | SYSTEMS AND METHODS FOR OPTIMIZING A MACHINE LEARNING MODEL BASED ON A PARITY METRIC | GRUSZKA, DANIEL PATRICK | 79d overdue |
| 18768955 | ARTIFICIAL INTELLIGENCE BASED ASSISTANTS TO BUILD AND DEBUG ARTIFICIAL INTELLIGENCE MODELS | HUSSAIN, IMAD | — |
| Art Unit | Apps |
|---|---|
| 2453 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18768955 | ARTIFICIAL INTELLIGENCE BASED ASSISTANTS TO BUILD AND DEBUG ARTIFICIAL INTELLIGENCE MODELS | HUSSAIN, IMAD | 2453 | §101§103 | Non-Final OA | — | Pending | Jul 10, 2024 |
| 18300093 | SYSTEMS AND METHODS FOR OPTIMIZING A MACHINE LEARNING MODEL BASED ON A PARITY METRIC | GRUSZKA, DANIEL PATRICK | 2121 | §101§103 | Final Rejection | 79d overdue | Pending | Apr 13, 2023 |
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