Prosecution Insights
Last updated: October 02, 2026

Black Sesame Technologies Inc.

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

Analysis

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.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

6
Total Pending OAs
3
Non-Final OAs
3
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

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.

1
Overdue
0
Due this week
0
Due this month
1
Due in next 60 days
0
Due later

Case Difficulty Mix

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.

3
Hard (50%)
3
Medium (50%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (17%)
§101 + other1 (17%)
§103 only3 (50%)
Multi-statute (no §101)1 (17%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
2
Information Tech
33% of docket
4
Communications
67% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

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.

60 h
Manual time on pending OAs
12 h
Time saved (low, 20%)
21 h
Time saved (mid, 35%)
0.5 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview 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%

Hard Cases (3)

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 #TitleExaminerDue 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 —

Interview Candidates (3)

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 #TitleExaminerDue 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 —

Top Art Units

Art UnitApps
2664 2
2667 1
2123 1
2148 1
2662 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
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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