Prosecution Insights
Last updated: October 25, 2026

Affle (India) Limited

Technology areas: Computing & Software • Networking & Security

5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready

Analysis

Affle (India) Limited has 6 pending office actions in Networking & Security. Each matter is assigned to a distinct examiner and a distinct art unit, so the reported docket follows separate examination paths.

LADONI, AHOORA is the busiest examiner, with 1 pending matter. Counsel should emphasize application-specific analysis and should not assume a common examiner or art-unit treatment across the portfolio.

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

Portfolio Summary

5
Total Pending OAs
4
Non-Final OAs
1
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 (20%)
4
Medium (80%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other1 (20%)
§103 only2 (40%)
§102 only2 (40%)

Industry Mix

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

0
Life Sciences
0% of docket
5
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.

50 h
Manual time on pending OAs
10 h
Time saved (low, 20%)
18 h
Time saved (mid, 35%)
0.4 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
MOBIN, HASANUL 1 75.3% +38.8%
SAVENKOV, VADIM 1 60.3% +20.3%
IDOWU, OLUGBENGA O 1 71.8% +18.7%
ANDERSON, MICHAEL D 1 80.1% +15.1%
LAKHIA, VIRAL S 1 87.6% +19.7%

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
19209270 SYSTEMS AND METHODS FOR CATEGORIZING PERSONAL INFORMATION INTO RELEVANT CATEGORIES CORRESPONDING TO SOCIAL ENGAGEMENT ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A PRIVACY AND AD-SENSITIVE MANNER ANDERSON, MICHAEL D —
19209213 SYSTEMS AND METHODS FOR OWNERSHIP AND BIOMETRIC-BASED AUTHENTICATION THROUGH AN ARTIFICIAL INTELLIGENT AGENT LAKHIA, VIRAL S —

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
19216206 SYSTEMS AND METHODS FOR TRANSFERRING PERSONALIZED MACHINE LEARNING (ML)/ARTIFICIAL INTELLIGENCE (AI) MODELS AND DATA SAVENKOV, VADIM —

Interview Candidates (5)

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 5 ordered by deadline are shown.

App #TitleExaminerDue in
19216290 SYSTEMS AND METHODS FOR CATEGORIZING AND MANAGING PERSONAL DATA STORAGE USING ARTIFICIAL INTELLIGENCE (AI) AGENTS MOBIN, HASANUL —
19216206 SYSTEMS AND METHODS FOR TRANSFERRING PERSONALIZED MACHINE LEARNING (ML)/ARTIFICIAL INTELLIGENCE (AI) MODELS AND DATA SAVENKOV, VADIM —
19216096 SYSTEMS AND METHODS FOR DETECTING FRAUD THROUGH ARTIFICIAL INTELLIGENCE (AI) AGENT TESTING IDOWU, OLUGBENGA O —
19209270 SYSTEMS AND METHODS FOR CATEGORIZING PERSONAL INFORMATION INTO RELEVANT CATEGORIES CORRESPONDING TO SOCIAL ENGAGEMENT ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A PRIVACY AND AD-SENSITIVE MANNER ANDERSON, MICHAEL D —
19209213 SYSTEMS AND METHODS FOR OWNERSHIP AND BIOMETRIC-BASED AUTHENTICATION THROUGH AN ARTIFICIAL INTELLIGENT AGENT LAKHIA, VIRAL S —

Top Art Units

Art UnitApps
2168 1
2432 1
2494 1
2433 1
2431 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19216290 SYSTEMS AND METHODS FOR CATEGORIZING AND MANAGING PERSONAL DATA STORAGE USING ARTIFICIAL INTELLIGENCE (AI) AGENTS MOBIN, HASANUL 2168 §103 Final Rejection — Pending May 22, 2025
19216206 SYSTEMS AND METHODS FOR TRANSFERRING PERSONALIZED MACHINE LEARNING (ML)/ARTIFICIAL INTELLIGENCE (AI) MODELS AND DATA SAVENKOV, VADIM 2432 §101§103§112 Non-Final OA — Pending May 22, 2025
19216096 SYSTEMS AND METHODS FOR DETECTING FRAUD THROUGH ARTIFICIAL INTELLIGENCE (AI) AGENT TESTING IDOWU, OLUGBENGA O 2494 §102 Non-Final OA — Pending May 22, 2025
19209270 SYSTEMS AND METHODS FOR CATEGORIZING PERSONAL INFORMATION INTO RELEVANT CATEGORIES CORRESPONDING TO SOCIAL ENGAGEMENT ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A PRIVACY AND AD-SENSITIVE MANNER ANDERSON, MICHAEL D 2433 §102 Non-Final OA — Pending May 15, 2025
19209213 SYSTEMS AND METHODS FOR OWNERSHIP AND BIOMETRIC-BASED AUTHENTICATION THROUGH AN ARTIFICIAL INTELLIGENT AGENT LAKHIA, VIRAL S 2431 §103 Non-Final OA — Pending May 15, 2025

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Frequently Asked Questions

How many pending USPTO office actions does Affle (India) Limited have?

Affle (India) Limited has 5 pending office actions as of October 2026, spread across 5 art units and 5 examiners.

Which USPTO examiner handles the most Affle (India) Limited applications?

Hasanul Mobin has the most, with 1 of Affle (India) Limited's pending office actions.

What technology area are Affle (India) Limited's patent applications in?

Mostly Networking & Security (USPTO Tech Center 2400), based on where its pending office actions are examined.

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