Technology area: Computing & Software
3 pending office actions • 2 art units • 2 examiners • 0 of 3 (0%) have an AI response strategy ready
Octoml Inc. has 3 pending office actions in Computing & Software. These matters are assigned to 2 distinct examiners and 2 distinct art units. GARNER, CASEY R is the busiest examiner, with 2 pending office actions. The distribution of the 3 pending office actions across 2 distinct art units indicates that the applications are technically related.
The portfolio features 3 pending office actions being reviewed by 2 distinct examiners, with the busiest examiner handling 2 pending office actions. This concentration makes GARNER, CASEY R a primary figure for the majority of the company's pending cases. Because the actions are located in 2 distinct art units, the company faces a relatively focused set of technical challenges. This limited number of art units suggests that the Computing & Software applications are closely aligned.
Practitioners should focus on the specific examination style of the busiest examiner given his workload. With only 2 distinct examiners involved, the company can maintain a high degree of consistency in its prosecution approach. The 2 distinct art units involved will define the technical boundaries for these 3 pending office actions. A coordinated strategy is essential to manage the feedback from the two officials assigned to the portfolio.
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 | 3 (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 |
|---|---|---|---|
| GARNER, CASEY R | 2 | 71.2% | +17.1% |
| NGUYEN, CHAU T | 1 | 67.7% | +31.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18647339 | MACHINE LEARNING MODEL INSTRUMENTATION HOOKS | GARNER, CASEY R | — |
| 18596437 | AUTOMATIC ADAPTATION FOR MACHINE LEARNING MODELS | GARNER, CASEY R | — |
| 18538972 | OPTIMIZING MACHINE LEARNING MODELS | NGUYEN, CHAU T | — |
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 |
|---|---|---|---|
| 18647339 | MACHINE LEARNING MODEL INSTRUMENTATION HOOKS | GARNER, CASEY R | — |
| 18596437 | AUTOMATIC ADAPTATION FOR MACHINE LEARNING MODELS | GARNER, CASEY R | — |
| 18538972 | OPTIMIZING MACHINE LEARNING MODELS | NGUYEN, CHAU T | — |
| Art Unit | Apps |
|---|---|
| 2123 | 2 |
| 2145 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18647339 | MACHINE LEARNING MODEL INSTRUMENTATION HOOKS | GARNER, CASEY R | 2123 | §101§103 | Non-Final OA | — | Pending | Apr 26, 2024 |
| 18596437 | AUTOMATIC ADAPTATION FOR MACHINE LEARNING MODELS | GARNER, CASEY R | 2123 | §101§103 | Non-Final OA | — | Pending | Mar 05, 2024 |
| 18538972 | OPTIMIZING MACHINE LEARNING MODELS | NGUYEN, CHAU T | 2145 | §101§103§112DP | Non-Final OA | — | Pending | Dec 13, 2023 |
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Start Free TrialOctoml Inc. has 3 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Casey R Garner has the most, with 2 of Octoml Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
