Technology areas: Computing & Software • Communications
7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Armada Systems, Inc. has 7 pending office actions in Communications. Each matter is associated with a distinct examiner and a distinct art unit, producing a fully distributed prosecution profile.
HSU, AMY R is the busiest examiner, with 1 pending matter. Since no examiner has more than 1 matter in the supplied data, counsel should prioritize portfolio-wide process consistency rather than relying on a single examiner strategy.
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 |
|---|---|
| §103 only | 2 (29%) |
| §112 only | 2 (29%) |
| Double-patenting only | 1 (14%) |
| Multi-statute (no §101) | 1 (14%) |
| No statute on record | 1 (14%) |
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 |
|---|---|---|---|
| HSU, AMY R | 1 | 86.6% | -1.1% |
| THOMPSON, JAMES A | 1 | 85.2% | +2.9% |
| PHAM, THIERRY L | 1 | 80.6% | +5.0% |
| KIM, SISLEY NAHYUN | 1 | 88.6% | +16.5% |
| LEE, TSU-CHANG | 1 | 72.8% | +13.6% |
| SHARMA, NEERAJ | 1 | 84.8% | +11.8% |
| CHOUDHURY, RAQIUL A | 1 | 86.7% | +5.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18649868 | QUERY OF VIDEO SUBJECT MATTER | SHARMA, NEERAJ | 56d overdue |
| 19082045 | APPEARANCE INFILLING IN VIDEO | THOMPSON, JAMES A | — |
| 18820117 | NATURAL LANGUAGE STATISTICAL MODEL WITH WORKSPACES | PHAM, THIERRY L | — |
| 18649775 | CONTAINERIZED DATA CENTER APPARATUS FOR RAPID RESPONSE OR EMERGENCY DEPLOYMENT | CHOUDHURY, RAQIUL A | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19091656 | ROBOTIC CONTROL USING NATURAL LANGUAGE COMMANDS | HSU, AMY R | — |
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 |
|---|---|---|---|
| 18649868 | QUERY OF VIDEO SUBJECT MATTER | SHARMA, NEERAJ | 56d overdue |
| 18762311 | EDGE DEPLOYMENT OF CLOUD-ORIGINATED MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKLOADS | KIM, SISLEY NAHYUN | — |
| 18762094 | FLEET AND ASSET MANAGEMENT FOR EDGE COMPUTING OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKLOADS DEPLOYED FROM CLOUD TO EDGE | LEE, TSU-CHANG | — |
| Art Unit | Apps |
|---|---|
| 2638 | 1 |
| 2615 | 1 |
| 2654 | 1 |
| 2196 | 1 |
| 2128 | 1 |
| 2659 | 1 |
| 2444 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19091656 | ROBOTIC CONTROL USING NATURAL LANGUAGE COMMANDS | HSU, AMY R | 2638 | §102§103Other | Non-Final OA | — | Pending | Mar 26, 2025 |
| 19082045 | APPEARANCE INFILLING IN VIDEO | THOMPSON, JAMES A | 2615 | DP | Non-Final OA | — | Pending | Mar 17, 2025 |
| 18820117 | NATURAL LANGUAGE STATISTICAL MODEL WITH WORKSPACES | PHAM, THIERRY L | 2654 | §103 | Non-Final OA | — | Pending | Aug 29, 2024 |
| 18762311 | EDGE DEPLOYMENT OF CLOUD-ORIGINATED MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKLOADS | KIM, SISLEY NAHYUN | 2196 | Other | Non-Final OA | — | Pending | Jul 02, 2024 |
| 18762094 | FLEET AND ASSET MANAGEMENT FOR EDGE COMPUTING OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKLOADS DEPLOYED FROM CLOUD TO EDGE | LEE, TSU-CHANG | 2128 | §112Other | Non-Final OA | — | Pending | Jul 02, 2024 |
| 18649868 | QUERY OF VIDEO SUBJECT MATTER | SHARMA, NEERAJ | 2659 | §103 | Final Rejection | 56d overdue | Pending | Apr 29, 2024 |
| 18649775 | CONTAINERIZED DATA CENTER APPARATUS FOR RAPID RESPONSE OR EMERGENCY DEPLOYMENT | CHOUDHURY, RAQIUL A | 2444 | §112 | Non-Final OA | — | Pending | Apr 29, 2024 |
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Start Free TrialArmada Systems, Inc. has 7 pending office actions as of October 2026, spread across 7 art units and 7 examiners.
Amy R Hsu has the most, with 1 of Armada Systems, Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
