Prosecution Insights
Last updated: August 15, 2026

Zenseact AB

18 pending office actions • 8 art units • 17 examiners • 0 of 18 (0%) have an AI response strategy ready • 21 patents granted in the last 365 days

Portfolio Summary

18
Total Pending OAs
12
Non-Final OAs
6
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

4
Overdue
0
Due this week
0
Due this month
0
Due in next 60 days
1
Due later

Deadline Fire Line

Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (4)Due later (1)

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.

10
Hard (56%)
7
Medium (39%)
1
Easy (6%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only3 (17%)
§101 + other2 (11%)
§103 only6 (33%)
§102 only1 (6%)
§112 only1 (6%)
Multi-statute (no §101)5 (28%)

Industry Mix

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

0
Life Sciences
0% of docket
0
Information Tech
0% of docket
1
Communications
6% of docket
1
Semiconductors
6% of docket
9
Mechanical / Eng
50% of docket
7
Business / Other
39% 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.

180 h
Manual time on pending OAs
36 h
Time saved (low, 20%)
63 h
Time saved (mid, 35%)
1.6 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
TURNBAUGH, ASHLEIGH NICOLE 2 50.0% +9.0%
PALMARCHUK, BRIAN KEITH 1 76.2% +18.3%
MANLEY, SHERMAN D 1 84.2% +12.1%
MOLINA, NIKKI MARIE M 1 78.2% +6.2%
WINDSOR, COURTNEY J 1 86.1% +9.3%
CODRINGTON, SHANE WRENSFORD 1 100.0% +0.0%
BUSE, TERRY C 1 59.8% +22.8%
ALI, JAHED 1 62.1% +54.7%
PHAKOUSONH, DARAVANH 1 33.3% +100.0%
STARKS, WILBERT L 1 74.9% +3.7%

Quick Wins (1)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
19086249 STEERING INTERVENTIONS FOR VEHICLES MANLEY, SHERMAN D

Hard Cases (10)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.

App #TitleExaminerDue in
18178730 DYNAMIC ADJUSTMENT OF AN EVENT SEGMENT LENGTH OF A VEHICLE EVENT RECORDING BUFFER TURNBAUGH, ASHLEIGH NICOLE 195d overdue
18531062 METHODS AND APPARATUSES FOR ADAPTIVE HIGH BEAM CONTROL FOR A VEHICLE CHEN, PATRICK C 82d
19062563 METHODS AND SYSTEMS FOR PROVIDING DATA-INSIGHT FOR DEVELOPMENT OF AN AUTOMATED DRIVING SYSTEM MOLINA, NIKKI MARIE M
18991529 METHOD FOR GENERATING AN ANNOTATED TRAINING DATA SET FOR TRAINING A PERCEPTION ALGORITHM OF AN AUTOMATED DRIVING SYSTEM WINDSOR, COURTNEY J
18915832 COMPUTER IMPLEMENTED METHOD FOR PROVIDING INSIGHT INTO MACHINE LEARNING MODELS CODRINGTON, SHANE WRENSFORD
18585416 SUBSCRIPTION-BASED MANAGEMENT OF ADS FEATURES ALI, JAHED
18398112 TARGETED DATA GENERATION BY NEURAL NETWORK ENSEMBLES PHAKOUSONH, DARAVANH
18398115 Automated Data Generation by Neural Network Ensembles STARKS, WILBERT L

Interview Candidates (5)

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 5 ordered by deadline are shown.

App #TitleExaminerDue in
18621667 VEHICLE LOCALIZATION BUSE, TERRY C 28d overdue
19188320 IN-VEHICLE PERCEPTION PERFORMANCE EVALUATION PALMARCHUK, BRIAN KEITH
19086249 STEERING INTERVENTIONS FOR VEHICLES MANLEY, SHERMAN D
18585416 SUBSCRIPTION-BASED MANAGEMENT OF ADS FEATURES ALI, JAHED
18398112 TARGETED DATA GENERATION BY NEURAL NETWORK ENSEMBLES PHAKOUSONH, DARAVANH

Top Art Units

Art UnitApps
3662 2
3666 2
3667 2
3747 1
3699 1
2663 1
2842 1
3668 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19222142 DYNAMIC ADAPTATION OF AN OPERATIONAL DESIGN DOMAIN FOR AN AUTOMATED DRIVING SYSTEM OF A VEHICLE TURNBAUGH, ASHLEIGH NICOLE §112 Non-Final OA Pending May 29, 2025
19188320 IN-VEHICLE PERCEPTION PERFORMANCE EVALUATION PALMARCHUK, BRIAN KEITH §103Other Non-Final OA Pending Apr 24, 2025
19086249 STEERING INTERVENTIONS FOR VEHICLES MANLEY, SHERMAN D 3747 §102 Non-Final OA Pending Mar 21, 2025
19062563 METHODS AND SYSTEMS FOR PROVIDING DATA-INSIGHT FOR DEVELOPMENT OF AN AUTOMATED DRIVING SYSTEM MOLINA, NIKKI MARIE M 3662 §101§103 Non-Final OA Pending Feb 25, 2025
18991529 METHOD FOR GENERATING AN ANNOTATED TRAINING DATA SET FOR TRAINING A PERCEPTION ALGORITHM OF AN AUTOMATED DRIVING SYSTEM WINDSOR, COURTNEY J §103§112 Non-Final OA Pending Dec 21, 2024
18915832 COMPUTER IMPLEMENTED METHOD FOR PROVIDING INSIGHT INTO MACHINE LEARNING MODELS CODRINGTON, SHANE WRENSFORD §102§103§112 Non-Final OA Pending Oct 15, 2024
18621667 VEHICLE LOCALIZATION BUSE, TERRY C 3666 §103 Final Rejection 28d overdue Pending Mar 29, 2024
18585416 SUBSCRIPTION-BASED MANAGEMENT OF ADS FEATURES ALI, JAHED 3699 §101 Final Rejection Pending Feb 23, 2024
18398112 TARGETED DATA GENERATION BY NEURAL NETWORK ENSEMBLES PHAKOUSONH, DARAVANH §101 Non-Final OA Pending Dec 27, 2023
18398115 Automated Data Generation by Neural Network Ensembles STARKS, WILBERT L §101 Non-Final OA Pending Dec 27, 2023
18396315 CLASSIFICATION OF OBJECTS PRESENT ON A ROAD ORANGE, DAVID BENJAMIN 2663 §103 Final Rejection 37d overdue Pending Dec 26, 2023
18531062 METHODS AND APPARATUSES FOR ADAPTIVE HIGH BEAM CONTROL FOR A VEHICLE CHEN, PATRICK C 2842 §102§103 Final Rejection 82d Pending Dec 06, 2023
18512251 ADS DRIVING SCENARIO GENERATION SCHNEIDER, PAULA LYNN 3668 §101§103 Final Rejection Pending Nov 17, 2023
18511233 METHOD FOR PERFORMING A PERCEPTION TASK OF AN ELECTRONIC DEVICE OR A VEHICLE USING A PLURALITY OF NEURAL NETWORKS THOMPSON, ALMA BENNETT §103 Non-Final OA Pending Nov 16, 2023
18490947 ADS DEVELOPMENT FEES, CHRISTOPHER GEORGE 3662 §103 Non-Final OA Pending Oct 20, 2023
18344428 IDENTIFYING LOCATIONS CRUCIAL TO AN ADS-EQUIPPED VEHICLE MIRZA, ADNAN M 3667 §103§112 Non-Final OA Pending Jun 29, 2023
18178730 DYNAMIC ADJUSTMENT OF AN EVENT SEGMENT LENGTH OF A VEHICLE EVENT RECORDING BUFFER TURNBAUGH, ASHLEIGH NICOLE 3667 §102§103 Final Rejection 195d overdue Pending Mar 06, 2023
17892226 VALIDATION OF SURROUNDING OBJECTS PERCIEVED BY AN ADS-EQUIPPED VEHICLE AFRIN, NAZIA 3666 §103 Non-Final OA 4d overdue Pending Aug 22, 2022

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