Prosecution Insights
Last updated: October 04, 2026

Agilesoda Inc.

Technology area: Computing & Software

2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days

Analysis

Agilesoda Inc. holds a company patent portfolio in the Computing & Software technology area. The portfolio currently has 2 pending office actions. While there are 2 distinct examiners assigned to these cases, they both operate within 1 distinct art unit. This suggests that while the individual reviewers differ, the technical classification and the overarching examination standards of the 1 distinct art unit remain consistent across the pending workload.

DRAPEAU, SIMEON PAUL is identified as the busiest examiner for this portfolio. This examiner is responsible for 1 busiest examiner pending office action. Given that there are 2 pending office actions in total, the 2 distinct examiners are each handling 1 of the pending office actions. For a practitioner, this scenario provides an opportunity to compare the approaches of different examiners within the same 1 distinct art unit. This concentration in 1 distinct art unit simplifies the technical landscape while the use of 2 distinct examiners provides some diversification of the review process.

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

Portfolio Summary

2
Total Pending OAs
2
Non-Final OAs
0
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.

2
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (100%)

Industry Mix

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

0
Life Sciences
0% of docket
2
Information Tech
100% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% 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
DRAPEAU, SIMEON PAUL 1 18.8% +70.3%
STOICA, ADRIAN 1 67.4% +31.9%

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
17878451 REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA STOICA, ADRIAN 155d overdue
18082823 APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA DRAPEAU, SIMEON PAUL 21d

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
17878451 REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA STOICA, ADRIAN 155d overdue
18082823 APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA DRAPEAU, SIMEON PAUL 21d

Top Art Units

Art UnitApps
2188 2

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18082823 APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA DRAPEAU, SIMEON PAUL 2188 §101§102§112 Non-Final OA 21d Pending Dec 16, 2022
17878451 REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA STOICA, ADRIAN 2188 §101§103§112Other Non-Final OA 155d overdue Pending Aug 01, 2022

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