Prosecution Insights
Last updated: October 25, 2026

Juliahub Inc.

Technology area: Computing & Software

4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days

Analysis

Juliahub Inc. currently manages 4 pending office actions within the Computing & Software technology area. These matters are distributed among 4 distinct examiners. While there are several examiners involved, the cases are concentrated within 3 distinct art units. This indicates that the company's software innovations are being reviewed by a variety of personnel but within a relatively narrow set of administrative departments at the USPTO.

GARNER, CASEY R is the busiest examiner for the company with 1 pending office action. With the total pending office actions spread across multiple examiners, the workload is decentralized. This requires the company to manage several separate examiner relationships while navigating the requirements of 3 distinct art units. For the practitioner, the challenge lies in addressing the specific feedback of various examiners without the benefit of a primary contact, though the concentration in a few art units may allow for some strategic alignment based on departmental standards.

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

Portfolio Summary

4
Total Pending OAs
3
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.

4
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only2 (50%)
§101 + other1 (25%)
Multi-statute (no §101)1 (25%)

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
GARNER, CASEY R 1 71.2% +17.1%
MAPAR, BIJAN 1 67.7% +27.9%
LEATHERS, EMILY GORMAN 1 63.2% +14.4%
FIGUEROA, KEVIN W 1 70.1% +20.4%

Hard Cases (4)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.

App #TitleExaminerDue in
18424281 AUTOMATED SURROGATE TRAINING PERFORMANCE BY INCORPORATING SIMULATOR INFORMATION GARNER, CASEY R —
18505733 TRANSFORMING A MODEL IN A FIRST LANGUAGE TO A SURROGATE IN A SECOND LANGUAGE FOR SIMULATION MAPAR, BIJAN —
18136654 METHODS AND SYSTEMS FOR ACCELERATING QUANTITATIVE SYSTEMS PHARMACOLOGY (QSP) MODELS LEATHERS, EMILY GORMAN —
17491823 SYSTEMS AND METHODS OF COMPONENT-BASED MODELING USING TRAINED SURROGATES FIGUEROA, KEVIN W —

Interview Candidates (4)

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 4 ordered by deadline are shown.

App #TitleExaminerDue in
18424281 AUTOMATED SURROGATE TRAINING PERFORMANCE BY INCORPORATING SIMULATOR INFORMATION GARNER, CASEY R —
18505733 TRANSFORMING A MODEL IN A FIRST LANGUAGE TO A SURROGATE IN A SECOND LANGUAGE FOR SIMULATION MAPAR, BIJAN —
18136654 METHODS AND SYSTEMS FOR ACCELERATING QUANTITATIVE SYSTEMS PHARMACOLOGY (QSP) MODELS LEATHERS, EMILY GORMAN —
17491823 SYSTEMS AND METHODS OF COMPONENT-BASED MODELING USING TRAINED SURROGATES FIGUEROA, KEVIN W —

Top Art Units

Art UnitApps
2123 1
2187 1
2148 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18424281 AUTOMATED SURROGATE TRAINING PERFORMANCE BY INCORPORATING SIMULATOR INFORMATION GARNER, CASEY R 2123 §102§103 Non-Final OA — Pending Jan 26, 2024
18505733 TRANSFORMING A MODEL IN A FIRST LANGUAGE TO A SURROGATE IN A SECOND LANGUAGE FOR SIMULATION MAPAR, BIJAN — §101 Non-Final OA — Pending Nov 09, 2023
18136654 METHODS AND SYSTEMS FOR ACCELERATING QUANTITATIVE SYSTEMS PHARMACOLOGY (QSP) MODELS LEATHERS, EMILY GORMAN 2187 §101§102§103§112 Non-Final OA — Pending Apr 19, 2023
17491823 SYSTEMS AND METHODS OF COMPONENT-BASED MODELING USING TRAINED SURROGATES FIGUEROA, KEVIN W 2148 §101 Final Rejection — Pending Oct 01, 2021

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Frequently Asked Questions

How many pending USPTO office actions does Juliahub Inc. have?

Juliahub Inc. has 4 pending office actions as of October 2026, spread across 3 art units and 4 examiners.

Which USPTO examiner handles the most Juliahub Inc. applications?

Casey R Garner has the most, with 1 of Juliahub Inc.'s pending office actions.

What technology area are Juliahub 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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