Prosecution Insights
Last updated: October 04, 2026

Andro Computational Solutions, LLC

Technology area: Transportation, E-Commerce & Mechanical Systems

2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days

Analysis

Andro Computational Solutions, LLC maintains 2 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These matters are distributed across 2 distinct examiners and 2 distinct art units. This distribution shows that the company's intellectual property is being evaluated by multiple specialized groups within the patent office.

CROSS, JULIANA MARIA is the busiest examiner for the company, currently overseeing 1 pending office action. With 2 distinct examiners involved in total, the workload is split, as the busiest examiner handles 1 of the 2 pending office actions. This variety in examiners and art units suggests a broader technical range within the Transportation, E-Commerce & Mechanical Systems sector.

The presence of 2 distinct art units indicates that the company's innovations touch upon different regulatory or technical classifications. Managing 2 pending office actions requires coordination across different examination teams. This profile reflects a growing portfolio with diverse technical touchpoints in the Transportation, E-Commerce & Mechanical Systems field.

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

Portfolio Summary

2
Total Pending OAs
0
Non-Final OAs
2
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
1
Due this month
0
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.

1
Hard (50%)
1
Medium (50%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only1 (50%)
Multi-statute (no §101)1 (50%)

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
2
Mechanical / Eng
100% 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.

20 h
Manual time on pending OAs
4 h
Time saved (low, 20%)
7 h
Time saved (mid, 35%)
0.2 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
CROSS, JULIANA MARIA 1 82.5% +18.4%
REDA, MATTHEW J 1 54.9% +28.7%

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
18596893 MACHINE LEARNING SYSTEM FOR IDENTIFYING AND COUNTERING NON-FRIENDLY RADAR NETWORKS CROSS, JULIANA MARIA 27d

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
17200106 MACHINE LEARNING FRAMEWORK FOR CONTROL OF AUTONOMOUS AGENT OPERATING IN DYNAMIC ENVIRONMENT REDA, MATTHEW J 46d overdue

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
17200106 MACHINE LEARNING FRAMEWORK FOR CONTROL OF AUTONOMOUS AGENT OPERATING IN DYNAMIC ENVIRONMENT REDA, MATTHEW J 46d overdue
18596893 MACHINE LEARNING SYSTEM FOR IDENTIFYING AND COUNTERING NON-FRIENDLY RADAR NETWORKS CROSS, JULIANA MARIA 27d

Top Art Units

Art UnitApps
3648 1
3665 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18596893 MACHINE LEARNING SYSTEM FOR IDENTIFYING AND COUNTERING NON-FRIENDLY RADAR NETWORKS CROSS, JULIANA MARIA 3648 §103 Final Rejection 27d Pending Mar 06, 2024
17200106 MACHINE LEARNING FRAMEWORK FOR CONTROL OF AUTONOMOUS AGENT OPERATING IN DYNAMIC ENVIRONMENT REDA, MATTHEW J 3665 §102§103 Final Rejection 46d overdue Pending Mar 12, 2021

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