Technology areas: Computing & Software • Communications
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Kx Systems Inc. has 2 pending office actions in Computing & Software. The matters are assigned to 2 examiners and 2 art units, creating separate examination paths within the portfolio.
RAAB, CHRISTOPHER J is the busiest examiner, with 1 pending matter. Counsel should preserve a matter-specific approach while checking whether technical arguments can be aligned across the two assigned channels.
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 (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 |
|---|---|---|---|
| RAAB, CHRISTOPHER J | 1 | 76.9% | +14.1% |
| SERROU, ABDELALI | 1 | 74.4% | +29.6% |
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 |
|---|---|---|---|
| 18936361 | Optimizing Vector Embedding Representations of Time-Series Information via Frequency Domain Representations | RAAB, CHRISTOPHER J | 30d overdue |
| 18461282 | Vector Databases for Determining Machine-Learned Model Inputs | SERROU, ABDELALI | — |
| Art Unit | Apps |
|---|---|
| 2156 | 1 |
| 2659 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18936361 | Optimizing Vector Embedding Representations of Time-Series Information via Frequency Domain Representations | RAAB, CHRISTOPHER J | 2156 | §103 | Final Rejection | 30d overdue | Pending | Nov 04, 2024 |
| 18461282 | Vector Databases for Determining Machine-Learned Model Inputs | SERROU, ABDELALI | 2659 | §103 | Non-Final OA | — | Pending | Sep 05, 2023 |
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Start Free TrialKx Systems Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Christopher J Raab has the most, with 1 of Kx Systems Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
