Technology area: Computing & Software
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Dinkle Enterprise Co. Ltd. maintains 2 pending office actions within the Computing & Software technology area. These actions are distributed across 2 distinct examiners, which suggests a diversified approach to prosecution even with a small number of active files. The involvement of 2 distinct art units further indicates that the company's research interests in this sector span multiple specialized classifications within the patent office.
The busiest examiner, LAU, KAITLYN RENEE, is currently handling 1 pending office action. This workload is shared with another examiner who manages the remaining action. For patent practitioners, this distribution means that prosecution strategies must be tailored to two different examiner styles simultaneously. The balance between the 2 distinct examiners and the total pending workload prevents any single examiner from dominating the portfolio's current trajectory.
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 |
|---|---|---|---|
| LAU, KAITLYN RENEE | 1 | 60.0% | +66.7% |
| BEAN, GRIFFIN TANNER | 1 | 28.1% | +15.3% |
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 |
|---|---|---|---|
| 18653132 | REAL-TIME QUALITY PREDICTION SYSTEM | LAU, KAITLYN RENEE | — |
| 18446030 | ADAPTIVE LEARNING ALGORITHM | BEAN, GRIFFIN TANNER | — |
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 |
|---|---|---|---|
| 18653132 | REAL-TIME QUALITY PREDICTION SYSTEM | LAU, KAITLYN RENEE | — |
| 18446030 | ADAPTIVE LEARNING ALGORITHM | BEAN, GRIFFIN TANNER | — |
| Art Unit | Apps |
|---|---|
| 2148 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18653132 | REAL-TIME QUALITY PREDICTION SYSTEM | LAU, KAITLYN RENEE | 2148 | §101§102§103§112 | Non-Final OA | — | Pending | May 02, 2024 |
| 18446030 | ADAPTIVE LEARNING ALGORITHM | BEAN, GRIFFIN TANNER | 2121 | §101§103 | Non-Final OA | — | Pending | Aug 08, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialDinkle Enterprise Co. Ltd. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Kaitlyn Renee Lau has the most, with 1 of Dinkle Enterprise Co. Ltd.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
