Technology areas: Computing & Software • Communications
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Lumana Inc. has 3 pending office actions in Communications. Those actions involve 3 examiners and 3 art units, showing that the active matters are distributed across separate examination assignments.
BOYAR, NOAH WILLIAM is the busiest examiner, with 1 pending matter. No examiner accounts for more than that single action, so prosecution management should preserve separate claim and response strategies for each matter.
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 | 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 |
|---|---|---|---|
| BOYAR, NOAH WILLIAM | 1 | 100.0% | +0.0% |
| GOLAN, MATTHEW BRYCE | 1 | 0.0% | +0.0% |
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 |
|---|---|---|---|
| 18145301 | HYBRID MACHINE LEARNING ARCHITECTURE FOR VISUAL CONTENT PROCESSING AND USES THEREOF | GOLAN, MATTHEW BRYCE | 20d |
| 18539897 | TECHNIQUES FOR AUGMENTED MACHINE LEARNING WITH RESPECT TO VARIATIONS OF OBJECTS | BOYAR, NOAH WILLIAM | — |
| Art Unit | Apps |
|---|---|
| 2669 | 1 |
| 2100 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18539897 | TECHNIQUES FOR AUGMENTED MACHINE LEARNING WITH RESPECT TO VARIATIONS OF OBJECTS | BOYAR, NOAH WILLIAM | 2669 | §102§103 | Final Rejection | — | Pending | Dec 14, 2023 |
| 18145301 | HYBRID MACHINE LEARNING ARCHITECTURE FOR VISUAL CONTENT PROCESSING AND USES THEREOF | GOLAN, MATTHEW BRYCE | 2100 | §101§103 | Non-Final OA | 20d | Pending | Dec 22, 2022 |
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Start Free TrialLumana Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Noah William Boyar has the most, with 1 of Lumana Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
