Prosecution Insights
Last updated: October 25, 2026

VIANAI SYSTEMS, INC.

Technology area: Computing & Software

8 pending office actions • 6 art units • 7 examiners • 0 of 8 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days

Analysis

VIANAI SYSTEMS, INC. has 8 pending office actions in Computing & Software. The matters are handled by 7 distinct examiners across 6 art units, showing broad distribution of prosecution activity rather than a single examiner or art-unit channel.

XIA, XUYANG is the busiest examiner, with 2 pending actions. That assignment gives one examiner a larger recorded share than the others, while the remaining matters require separate attention. A coordinated portfolio review can help maintain consistent software claim positions, disclosure support, and amendment themes across the different examination settings.

The art-unit spread makes docket coordination particularly relevant. Counsel should track response posture and cited technology separately for each matter, while using the common technical platform to avoid unnecessary divergence in claim terminology.

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

Portfolio Summary

8
Total Pending OAs
6
Non-Final OAs
2
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

2
Overdue
0
Due this week
0
Due this month
0
Due in next 60 days
1
Due later

Deadline Fire Line

Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (2)Due later (1)

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.

7
Hard (88%)
1
Medium (12%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other7 (88%)
§103 only1 (12%)

Industry Mix

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

0
Life Sciences
0% of docket
7
Information Tech
88% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
1
Business / Other
12% 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.

80 h
Manual time on pending OAs
16 h
Time saved (low, 20%)
28 h
Time saved (mid, 35%)
0.7 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
XIA, XUYANG 2 72.7% +52.4%
ADMASU, MAHLIET TASEW 1 0.0% +0.0%
WONG, LUT 1 77.3% +14.1%
WU, BENJAMIN C 1 87.4% +16.4%
BYCER, ERIC J 1 67.1% +42.0%
WU, NICHOLAS S 1 52.4% +31.4%
RAHMAN, IBRAHIM 1 15.8% -2.4%

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
18634580 TECHNIQUES FOR MIGRATING CLUSTER DATA WU, BENJAMIN C —

Hard Cases (7)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.

App #TitleExaminerDue in
17517502 DYNAMIC VARIABLE QUANTIZATION OF MACHINE LEARNING INPUTS XIA, XUYANG 110d overdue
17960049 POSITIVITY VALIDATION AND EXPLAINABILITY FOR CAUSAL INFERENCE VIA ASYMMETRICALLY PRUNED DECISION TREES RAHMAN, IBRAHIM 89d overdue
17517505 DYNAMIC VARIABLE QUANTIZATION OF MACHINE LEARNING PARAMETERS XIA, XUYANG 70d
18655184 CONTEXT-AWARE LANGUAGE MODELS ADMASU, MAHLIET TASEW —
18651433 TECHNIQUES FOR MONITORING MACHINE LEARNING MODEL PERFORMANCE WONG, LUT —
18621593 TECHNIQUES FOR GENERATING AND CORRECTING LANGUAGE MODEL OUTPUTS BYCER, ERIC J —
18529635 TECHNIQUES FOR ACCELERATING MACHINE LEARNING MODELS WU, NICHOLAS S —

Interview Candidates (6)

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 6 ordered by deadline are shown.

App #TitleExaminerDue in
17517502 DYNAMIC VARIABLE QUANTIZATION OF MACHINE LEARNING INPUTS XIA, XUYANG 110d overdue
17517505 DYNAMIC VARIABLE QUANTIZATION OF MACHINE LEARNING PARAMETERS XIA, XUYANG 70d
18651433 TECHNIQUES FOR MONITORING MACHINE LEARNING MODEL PERFORMANCE WONG, LUT —
18634580 TECHNIQUES FOR MIGRATING CLUSTER DATA WU, BENJAMIN C —
18621593 TECHNIQUES FOR GENERATING AND CORRECTING LANGUAGE MODEL OUTPUTS BYCER, ERIC J —
18529635 TECHNIQUES FOR ACCELERATING MACHINE LEARNING MODELS WU, NICHOLAS S —

Top Art Units

Art UnitApps
2143 2
2127 1
2195 1
2141 1
2148 1
2122 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18655184 CONTEXT-AWARE LANGUAGE MODELS ADMASU, MAHLIET TASEW — §101§103Other Non-Final OA — Pending May 03, 2024
18651433 TECHNIQUES FOR MONITORING MACHINE LEARNING MODEL PERFORMANCE WONG, LUT 2127 §101§102§103 Non-Final OA — Pending Apr 30, 2024
18634580 TECHNIQUES FOR MIGRATING CLUSTER DATA WU, BENJAMIN C 2195 §103 Non-Final OA — Pending Apr 12, 2024
18621593 TECHNIQUES FOR GENERATING AND CORRECTING LANGUAGE MODEL OUTPUTS BYCER, ERIC J 2141 §101§103 Non-Final OA — Pending Mar 29, 2024
18529635 TECHNIQUES FOR ACCELERATING MACHINE LEARNING MODELS WU, NICHOLAS S 2148 §101§102§103 Non-Final OA — Pending Dec 05, 2023
17960049 POSITIVITY VALIDATION AND EXPLAINABILITY FOR CAUSAL INFERENCE VIA ASYMMETRICALLY PRUNED DECISION TREES RAHMAN, IBRAHIM 2122 §101§102§103 Final Rejection 89d overdue Pending Oct 04, 2022
17517505 DYNAMIC VARIABLE QUANTIZATION OF MACHINE LEARNING PARAMETERS XIA, XUYANG 2143 §101§103§112 Non-Final OA 70d Pending Nov 02, 2021
17517502 DYNAMIC VARIABLE QUANTIZATION OF MACHINE LEARNING INPUTS XIA, XUYANG 2143 §101§103 Final Rejection 110d overdue Pending Nov 02, 2021

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Frequently Asked Questions

How many pending USPTO office actions does VIANAI SYSTEMS, INC. have?

VIANAI SYSTEMS, INC. has 8 pending office actions as of October 2026, spread across 6 art units and 7 examiners.

Which USPTO examiner handles the most VIANAI SYSTEMS, INC. applications?

Xuyang Xia has the most, with 2 of VIANAI SYSTEMS, INC.'s pending office actions.

What technology area are VIANAI SYSTEMS, INC.'s patent applications in?

Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.

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