Technology areas: Computing & Software • Communications
6 pending office actions • 5 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Black Sesame Technologies Inc. currently has 6 pending office actions within the Communications technology area. These actions are spread across a matching number of 6 distinct examiners, which means that every pending matter is being reviewed by a different individual. Additionally, the portfolio is active in 5 distinct art units, showing that the company's communications technology is being evaluated across several different specialized groups within the patent office.
LANTZ, KARSTEN FOSTER is the busiest examiner for the company, though they are only managing 1 pending office action. This indicates a high level of examiner diversity, as the total pending office actions are distributed individually among the assigned examiners. For practitioners, this requires a versatile approach to prosecution, as they must navigate the preferences of multiple different examiners across 5 different art units. The lack of concentration under any single examiner reduces the risk of a single-person bottleneck for these 6 pending office actions.
Based on the USPTO statutory response window for each pending office action. 2 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 only | 1 (17%) |
| §101 + other | 1 (17%) |
| §103 only | 3 (50%) |
| Multi-statute (no §101) | 1 (17%) |
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 |
|---|---|---|---|
| LANTZ, KARSTEN FOSTER | 1 | 100.0% | +0.0% |
| HELCO, NICHOLAS JOHN | 1 | 70.2% | +43.1% |
| VINCENT, DAVID ROBERT | 1 | 80.4% | +4.0% |
| THOMAS, SOUMYA | 1 | 60.0% | -16.7% |
| BEJCEK II, ROBERT H | 1 | 62.8% | +22.5% |
| ISLAM, MEHRAZUL NMN | 1 | 53.8% | +21.9% |
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 |
|---|---|---|---|
| 18959373 | DETECTING AND TRACKING OBJECTS USING SENSOR DATA | LANTZ, KARSTEN FOSTER | — |
| 18209932 | SYSTEM AND METHOD FOR NEURAL NETWORK STRUCTURE-LEVEL QUANTIZATION OPTIMIZATION | VINCENT, DAVID ROBERT | — |
| 18081515 | SYSTEM AND METHOD FOR MATHEMATICAL MODELING OF HARDWARE QUANTIZATION PROCESS | BEJCEK II, ROBERT H | — |
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 |
|---|---|---|---|
| 17686168 | ANOMALY DETECTION METHOD AND SYSTEM FOR IMAGE SIGNAL PROCESSOR | ISLAM, MEHRAZUL NMN | 39d |
| 18224046 | REAL-TIME TRAFFIC ASSISTANCE AND DETECTION SYSTEM AND METHOD | HELCO, NICHOLAS JOHN | — |
| 18081515 | SYSTEM AND METHOD FOR MATHEMATICAL MODELING OF HARDWARE QUANTIZATION PROCESS | BEJCEK II, ROBERT H | — |
| Art Unit | Apps |
|---|---|
| 2664 | 2 |
| 2667 | 1 |
| 2123 | 1 |
| 2148 | 1 |
| 2662 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18959373 | DETECTING AND TRACKING OBJECTS USING SENSOR DATA | LANTZ, KARSTEN FOSTER | 2664 | §102§103 | Non-Final OA | — | Pending | Nov 25, 2024 |
| 18224046 | REAL-TIME TRAFFIC ASSISTANCE AND DETECTION SYSTEM AND METHOD | HELCO, NICHOLAS JOHN | 2667 | §103 | Final Rejection | — | Pending | Jul 19, 2023 |
| 18209932 | SYSTEM AND METHOD FOR NEURAL NETWORK STRUCTURE-LEVEL QUANTIZATION OPTIMIZATION | VINCENT, DAVID ROBERT | 2123 | §101 | Non-Final OA | — | Pending | Jun 14, 2023 |
| 18140445 | CHIP BASED LIDAR 3D OBJECT DETECTION SYSTEM AND METHOD | THOMAS, SOUMYA | 2664 | §103 | Final Rejection | 4d overdue | Pending | Apr 27, 2023 |
| 18081515 | SYSTEM AND METHOD FOR MATHEMATICAL MODELING OF HARDWARE QUANTIZATION PROCESS | BEJCEK II, ROBERT H | 2148 | §101§112 | Final Rejection | — | Pending | Dec 14, 2022 |
| 17686168 | ANOMALY DETECTION METHOD AND SYSTEM FOR IMAGE SIGNAL PROCESSOR | ISLAM, MEHRAZUL NMN | 2662 | §103 | Non-Final OA | 39d | Pending | Mar 03, 2022 |
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