Prosecution Insights
Last updated: October 01, 2026

Cognata Ltd.

Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems

4 pending office actions • 2 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days

Analysis

Cognata Ltd. manages a portfolio in the Transportation, E-Commerce & Mechanical Systems technology area with 4 pending office actions. These are handled by 4 distinct examiners, showing a ratio where each pending matter is assigned to a different person. ZHAI, KYLE is the busiest examiner with 1 busiest examiner pending action. The portfolio is active across 2 distinct art units.

The 4 pending office actions indicate a moderate level of activity. With 4 distinct examiners, the applicant must address 4 different individual perspectives. The presence of 2 distinct art units suggests some technological variety. Having 1 busiest examiner pending action for ZHAI, KYLE shows that the workload is evenly distributed. Managing 4 pending office actions across 2 distinct art units requires a coordinated approach across 4 distinct examiners.

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

Portfolio Summary

4
Total Pending OAs
4
Non-Final OAs
0
Final Rejections
0
Advisory / Quayle

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.

2
Hard (50%)
2
Medium (50%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other1 (25%)
§103 only1 (25%)
§102 only1 (25%)
Multi-statute (no §101)1 (25%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
25% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
25% of docket
2
Business / Other
50% 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.

40 h
Manual time on pending OAs
8 h
Time saved (low, 20%)
14 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
ZHAI, KYLE 1 75.0% +18.5%
ABOUZAHRA, HESHAM K 1 81.5% +2.0%
HEIM, MARK ROBERT 1 55.6% -3.6%
HANN, JAY B 1 61.1% +31.9%

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
18675239 MACHINE LEARNING MODEL GENERALIZATION ABOUZAHRA, HESHAM K —

Hard Cases (2)

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 #TitleExaminerDue in
18542857 GENERATING A DRIVING ASSISTANT MODEL USING SYNTHETIC DATA GENERATED USING HISTORICAL SHADOW DRIVER FAILURES AND GENERATIVE RENDERING WITH PHYSICAL CONSTRAINTS HEIM, MARK ROBERT —
18518654 METHOD AND SYSTEM FOR CREATING AND SIMULATING A REALISTIC 3D VIRTUAL WORLD HANN, JAY B —

Interview Candidates (2)

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 #TitleExaminerDue in
19104423 DNN GENERATED SYNTHETIC DATA USING PRIMITIVE FEATURES ZHAI, KYLE —
18518654 METHOD AND SYSTEM FOR CREATING AND SIMULATING A REALISTIC 3D VIRTUAL WORLD HANN, JAY B —

Top Art Units

Art UnitApps
3668 1
2186 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19104423 DNN GENERATED SYNTHETIC DATA USING PRIMITIVE FEATURES ZHAI, KYLE — §103 Non-Final OA — Pending Feb 18, 2025
18675239 MACHINE LEARNING MODEL GENERALIZATION ABOUZAHRA, HESHAM K — §102 Non-Final OA — Pending May 28, 2024
18542857 GENERATING A DRIVING ASSISTANT MODEL USING SYNTHETIC DATA GENERATED USING HISTORICAL SHADOW DRIVER FAILURES AND GENERATIVE RENDERING WITH PHYSICAL CONSTRAINTS HEIM, MARK ROBERT 3668 §101§102§103 Non-Final OA — Pending Dec 18, 2023
18518654 METHOD AND SYSTEM FOR CREATING AND SIMULATING A REALISTIC 3D VIRTUAL WORLD HANN, JAY B 2186 §103§112 Non-Final OA — Pending Nov 24, 2023

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