Prosecution Insights
Last updated: October 04, 2026

Aetech Corporation

Technology area: Transportation, E-Commerce & Mechanical Systems

3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready

Analysis

Aetech Corporation is managing 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. Each of these 3 actions is assigned to a different person, resulting in 3 distinct examiners for the portfolio. All 3 actions are located within 1 distinct art unit, showing a high degree of technical concentration at the group level.

GARCIA, PAULO ANDRES is the busiest examiner for the company, currently responsible for 1 pending office action. This indicates that while the company's applications are concentrated in a single art unit, they are being reviewed by 3 different individuals within that group. Because there are 3 actions and 3 distinct examiners, no single examiner has a dominant influence over the portfolio. The company must manage its prosecution strategy to account for the individual perspectives of 3 different examiners even though all matters are being handled within the same art unit.

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.

2
Hard (67%)
1
Medium (33%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only1 (33%)
Multi-statute (no §101)2 (67%)

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
1
Mechanical / Eng
33% of docket
2
Business / Other
67% 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
ORANGE, DAVID BENJAMIN 1 32.1% +28.8%
GARCIA, PAULO ANDRES 1 80.4% +25.1%
KUMAR, KALYANAVENKA K 1 72.9% +18.3%

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
18880321 HYPERSPECTRAL IMAGE-BASED WASTE MATERIAL DISCRIMINATION SYSTEM GARCIA, PAULO ANDRES —

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
18880323 WASTE CLASSIFICATION SYSTEM BASED ON VISION-HYPERSPECTRAL FUSION DATA ORANGE, DAVID BENJAMIN —
18869551 WASTE SORTING SYSTEM CONSIDERING THE CHARACTERISTICS OF EACH WASTE DISPOSAL FACILITY KUMAR, KALYANAVENKA K —

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
18880323 WASTE CLASSIFICATION SYSTEM BASED ON VISION-HYPERSPECTRAL FUSION DATA ORANGE, DAVID BENJAMIN —
18880321 HYPERSPECTRAL IMAGE-BASED WASTE MATERIAL DISCRIMINATION SYSTEM GARCIA, PAULO ANDRES —
18869551 WASTE SORTING SYSTEM CONSIDERING THE CHARACTERISTICS OF EACH WASTE DISPOSAL FACILITY KUMAR, KALYANAVENKA K —

Top Art Units

Art UnitApps
3653 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18880323 WASTE CLASSIFICATION SYSTEM BASED ON VISION-HYPERSPECTRAL FUSION DATA ORANGE, DAVID BENJAMIN — §102§103§112Other Non-Final OA — Pending Dec 31, 2024
18880321 HYPERSPECTRAL IMAGE-BASED WASTE MATERIAL DISCRIMINATION SYSTEM GARCIA, PAULO ANDRES — §103Other Non-Final OA — Pending Dec 31, 2024
18869551 WASTE SORTING SYSTEM CONSIDERING THE CHARACTERISTICS OF EACH WASTE DISPOSAL FACILITY KUMAR, KALYANAVENKA K 3653 §102§112 Non-Final OA — Pending Nov 26, 2024

Managing Aetech Corporation's Patent Portfolio?

IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.

Start Free Trial

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month