Prosecution Insights
Last updated: October 04, 2026

AspenTech Corporation

Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems

2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days

Analysis

AspenTech Corporation currently manages 1 pending office action within the Transportation, E-Commerce & Mechanical Systems technology area. This active matter is assigned to examiner HENRY, MATTHEW D, who is the busiest examiner for the portfolio. The concentration of work under this examiner suggests a highly focused prosecution effort for this company. This arrangement allows the applicant to concentrate their resources on a point of contact within the patent office.

The portfolio is distributed across 1 distinct art unit and involves 1 distinct examiner. Because the busiest examiner handles 1 pending office action, the prosecution strategy relies entirely on the interactions with HENRY, MATTHEW D. Practitioners should monitor this specific examiner's historical trends to anticipate the likely trajectory of the application. Understanding the specific procedural preferences of the 1 distinct art unit involved will also be critical for achieving a favorable outcome. Addressing the specific requirements of the 1 pending office action will be the primary focus of the next prosecution phase.

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

Portfolio Summary

2
Total Pending OAs
1
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

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

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.

2
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (50%)
Multi-statute (no §101)1 (50%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
50% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
50% 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.

20 h
Manual time on pending OAs
4 h
Time saved (low, 20%)
7 h
Time saved (mid, 35%)
0.2 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
PAN, YUHUI R 1 83.3% +22.1%
HENRY, MATTHEW D 1 29.7% +20.3%

Hard Cases (2)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18298855 Automated Evaluation of Refinery and Petrochemical Feedstocks Using a Combination of Historical Market Prices, Machine Learning, and Algebraic Planning Model Information HENRY, MATTHEW D 54d
18758454 Methods and Systems For Generating Interpretable and Differentiable Models For Industrial Optimization PAN, YUHUI R —

Interview Candidates (2)

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 2 ordered by deadline are shown.

App #TitleExaminerDue in
18298855 Automated Evaluation of Refinery and Petrochemical Feedstocks Using a Combination of Historical Market Prices, Machine Learning, and Algebraic Planning Model Information HENRY, MATTHEW D 54d
18758454 Methods and Systems For Generating Interpretable and Differentiable Models For Industrial Optimization PAN, YUHUI R —

Top Art Units

Art UnitApps
2116 1
3625 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18758454 Methods and Systems For Generating Interpretable and Differentiable Models For Industrial Optimization PAN, YUHUI R 2116 §102§103 Non-Final OA — Pending Jun 28, 2024
18298855 Automated Evaluation of Refinery and Petrochemical Feedstocks Using a Combination of Historical Market Prices, Machine Learning, and Algebraic Planning Model Information HENRY, MATTHEW D 3625 §101 Final Rejection 54d Pending Apr 11, 2023

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