Prosecution Insights
Last updated: October 04, 2026

Budderfly Inc.

Technology areas: Computing & Software • Medical Devices & Mechanical Engineering

5 pending office actions • 2 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days

Analysis

Budderfly Inc. has 5 pending office actions in the Medical Devices & Mechanical Engineering technology area. These actions are distributed across 2 distinct art units, showing some technical variety within the medical and mechanical sectors. The prosecution involves 5 distinct examiners, meaning each of the 5 pending actions is being reviewed by a different individual. This distribution across 5 distinct examiners requires the company to manage five separate examiner relationships.

The busiest examiner is ERB, NATHAN, who is responsible for 1 pending office action. Because there are 5 distinct examiners for 5 actions, the workload is completely decentralized. The company must manage 5 separate examiner relationships across 2 distinct art units, requiring attention to the specific preferences of each examiner involved. Practitioners should note that each of the 5 pending office actions is being handled by a unique examiner, which may lead to different prosecution outcomes across the 2 distinct art units.

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
0
Final Rejections
1
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 (60%)
1
Medium (20%)
1
Easy (20%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only1 (20%)
Double-patenting only1 (20%)
Multi-statute (no §101)3 (60%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
20% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
20% of docket
3
Business / Other
60% 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
ERB, NATHAN 1 51.4% +0.1%
FURDGE, LARRY L 1 62.3% +16.9%
WORKU, KIDEST 1 84.9% +2.8%
JONES, LOGAN P 1 43.3% +31.2%
ERDMAN, CHAD G 1 80.1% +18.0%

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
18179809 Machine Learning Application To Predictive Energy Management ERDMAN, CHAD G —

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
19094978 SELF CONTAINED ICE-MAKER ENERGY EFFICIENCY BOOSTING SYSTEM FURDGE, LARRY L —
18783890 Intelligent Distribution Of Thermostat Profiles For Energy Management WORKU, KIDEST —
18545509 Food Warming System Utilizing Repurposed Air From Cooking Vents JONES, LOGAN P —

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
19094978 SELF CONTAINED ICE-MAKER ENERGY EFFICIENCY BOOSTING SYSTEM FURDGE, LARRY L —
18545509 Food Warming System Utilizing Repurposed Air From Cooking Vents JONES, LOGAN P —
18179809 Machine Learning Application To Predictive Energy Management ERDMAN, CHAD G —

Top Art Units

Art UnitApps
3762 1
2116 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19281724 Dynamic Real Time Average Monthly Energy Management System ERB, NATHAN — DP Non-Final OA — Pending Jul 27, 2025
19094978 SELF CONTAINED ICE-MAKER ENERGY EFFICIENCY BOOSTING SYSTEM FURDGE, LARRY L — §102§103 Non-Final OA — Pending Mar 30, 2025
18783890 Intelligent Distribution Of Thermostat Profiles For Energy Management WORKU, KIDEST — §103§112 Non-Final OA — Pending Jul 25, 2024
18545509 Food Warming System Utilizing Repurposed Air From Cooking Vents JONES, LOGAN P 3762 §103§112 Non-Final OA — Pending Dec 19, 2023
18179809 Machine Learning Application To Predictive Energy Management ERDMAN, CHAD G 2116 §103 Non-Final OA — Pending Mar 07, 2023

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