Prosecution Insights
Last updated: October 04, 2026

Cuberg Inc.

3 pending office actions • 0 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready

Analysis

Cuberg Inc. currently manages 2 pending office actions across its patent portfolio. These actions are distributed among 2 distinct examiners, indicating a spread of oversight even within a small volume of active matters. The portfolio currently shows 0 distinct art units assigned to these matters, which may suggest the cases are in an early administrative stage.

KIM, AHSHIK is identified as the busiest examiner for the company, currently handling 1 pending office action. This distribution suggests that no single examiner holds a majority of the active workload, as the total volume is split between the identified individuals. For practitioners, this variety of examiners at such a low volume suggests a diverse range of technical subject matter.

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

Portfolio Summary

3
Total Pending OAs
3
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.

1
Hard (33%)
1
Medium (33%)
1
Easy (33%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only1 (33%)
§112 only1 (33%)
Multi-statute (no §101)1 (33%)

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
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
3
Business / Other
100% 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.

30 h
Manual time on pending OAs
6 h
Time saved (low, 20%)
10 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
TRISCHLER, JOHN T 1 68.3% +21.5%
KIM, AHSHIK 1 87.8% +10.6%
DIAO, M BAYE 1 87.3% +4.0%

Quick Wins (2)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18457573 SIMULTANEOUS PARAMETER IDENTIFICATION, STATE ESTIMATION, AND PREDICTION OF BATTERY SYSTEM RESPONSE IN BATTERY MANAGEMENT SYSTEMS KIM, AHSHIK —
18457503 SIMULATED DATASET GENERATION AND MODEL PRETRAINING FOR SIMULTANEOUS PARAMETER IDENTIFICATION, STATE ESTIMATION, AND PREDICTION OF BATTERY SYSTEM RESPONSE IN BATTERY MANAGEMENT SYSTEMS DIAO, M BAYE —

Hard Cases (1)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
18633975 Methods and Systems for Restoring Lithium Metal Liquid-Electrolyte Electrochemical Cells TRISCHLER, JOHN T —

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
18633975 Methods and Systems for Restoring Lithium Metal Liquid-Electrolyte Electrochemical Cells TRISCHLER, JOHN T —
18457573 SIMULTANEOUS PARAMETER IDENTIFICATION, STATE ESTIMATION, AND PREDICTION OF BATTERY SYSTEM RESPONSE IN BATTERY MANAGEMENT SYSTEMS KIM, AHSHIK —

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18633975 Methods and Systems for Restoring Lithium Metal Liquid-Electrolyte Electrochemical Cells TRISCHLER, JOHN T — §102§103 Non-Final OA — Pending Apr 12, 2024
18457573 SIMULTANEOUS PARAMETER IDENTIFICATION, STATE ESTIMATION, AND PREDICTION OF BATTERY SYSTEM RESPONSE IN BATTERY MANAGEMENT SYSTEMS KIM, AHSHIK — §112Other Non-Final OA — Pending Aug 29, 2023
18457503 SIMULATED DATASET GENERATION AND MODEL PRETRAINING FOR SIMULTANEOUS PARAMETER IDENTIFICATION, STATE ESTIMATION, AND PREDICTION OF BATTERY SYSTEM RESPONSE IN BATTERY MANAGEMENT SYSTEMS DIAO, M BAYE — §103 Non-Final OA — Pending Aug 29, 2023

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