Prosecution Insights
Last updated: October 04, 2026

Bts Kurumsal Bilisim Teknolojileri Anonim Sirketi

Technology area: Networking & Security

4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready

Analysis

Bts Kurumsal Bilisim Teknolojileri Anonim Sirketi has 4 pending office actions in the Networking & Security technology area. These 4 actions are distributed among 4 distinct examiners, meaning each pending matter is being reviewed by a different person. The portfolio is active across 3 distinct art units. JASON KAI YIN GEE is the busiest examiner for the company, with 1 pending office action.

The involvement of 3 distinct art units for only 4 pending actions suggests that the company's networking and security innovations are technically diverse and fall into several different specialized examination categories. Managing 4 pending office actions across 4 distinct examiners requires coordinating with multiple patent office officials. This distribution across 3 distinct art units indicates that the company's research and development efforts are spread across several technical classifications within the networking field.

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

Portfolio Summary

4
Total Pending OAs
4
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.

3
Hard (75%)
0
Medium (0%)
1
Easy (25%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other1 (25%)
§112 only1 (25%)
Multi-statute (no §101)2 (50%)

Industry Mix

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

0
Life Sciences
0% of docket
3
Information Tech
75% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
1
Business / Other
25% 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.

40 h
Manual time on pending OAs
8 h
Time saved (low, 20%)
14 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
CELANI, NICHOLAS P 1 45.8% +42.3%
CHOUDHURY, RAQIUL A 1 86.5% +5.7%
SWEARINGEN, JEFFREY R 1 76.3% +21.3%
GEE, JASON KAI YIN 1 77.5% +23.7%

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
19116338 A DIGITAL TWIN-BASED SYSTEM AND A METHOD FOR THE 6G ECOSYSTEM CHOUDHURY, RAQIUL A —

Hard Cases (3)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.

App #TitleExaminerDue in
19116344 A LOW LATENCY REINFORCEMENT LEARNING-SUPPORTED AND DIGITAL TWIN-ENABLED DATA TRAFFIC MANAGEMENT AND OPTIMIZATION SYSTEM FOR 6G SMART CITY INFRASTRUCTURES AND AN OPERATION METHOD THEREOF CELANI, NICHOLAS P —
19116342 A SYSTEM AND METHOD FOR DIGITAL TWIN INTEGRATION IN IOT NETWORKS USED IN RURAL AREAS SWEARINGEN, JEFFREY R —
19116345 A SYSTEM AND METHOD FOR CHANNEL ACCESS IN OPPORTUNISTIC REINFORCEMENT LEARNING-BASED 802.11 NETWORKS GEE, JASON KAI YIN —

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
19116344 A LOW LATENCY REINFORCEMENT LEARNING-SUPPORTED AND DIGITAL TWIN-ENABLED DATA TRAFFIC MANAGEMENT AND OPTIMIZATION SYSTEM FOR 6G SMART CITY INFRASTRUCTURES AND AN OPERATION METHOD THEREOF CELANI, NICHOLAS P —
19116342 A SYSTEM AND METHOD FOR DIGITAL TWIN INTEGRATION IN IOT NETWORKS USED IN RURAL AREAS SWEARINGEN, JEFFREY R —
19116345 A SYSTEM AND METHOD FOR CHANNEL ACCESS IN OPPORTUNISTIC REINFORCEMENT LEARNING-BASED 802.11 NETWORKS GEE, JASON KAI YIN —

Top Art Units

Art UnitApps
2444 1
2445 1
2495 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19116344 A LOW LATENCY REINFORCEMENT LEARNING-SUPPORTED AND DIGITAL TWIN-ENABLED DATA TRAFFIC MANAGEMENT AND OPTIMIZATION SYSTEM FOR 6G SMART CITY INFRASTRUCTURES AND AN OPERATION METHOD THEREOF CELANI, NICHOLAS P — §103§112 Non-Final OA — Pending Mar 27, 2025
19116338 A DIGITAL TWIN-BASED SYSTEM AND A METHOD FOR THE 6G ECOSYSTEM CHOUDHURY, RAQIUL A 2444 §112 Non-Final OA — Pending Mar 27, 2025
19116342 A SYSTEM AND METHOD FOR DIGITAL TWIN INTEGRATION IN IOT NETWORKS USED IN RURAL AREAS SWEARINGEN, JEFFREY R 2445 §102§112 Non-Final OA — Pending Mar 27, 2025
19116345 A SYSTEM AND METHOD FOR CHANNEL ACCESS IN OPPORTUNISTIC REINFORCEMENT LEARNING-BASED 802.11 NETWORKS GEE, JASON KAI YIN 2495 §101§102§112 Non-Final OA — Pending Mar 27, 2025

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