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 • 2 patents granted in the last 365 days
Unlearn AI Inc. has 2 pending office actions in Transportation, E-Commerce & Mechanical Systems. The matters are divided between 2 examiners and 2 art units, so each action has a separate examination setting.
OBEID, MAMON A is the busiest examiner, with 1 pending matter. The data supports parallel, matter-specific prosecution rather than a strategy built around one recurring examiner or art unit. Consistent technical explanations may still help maintain coherence across the portfolio.
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.
| Bucket | Cases |
|---|---|
| §101 + other | 2 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
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.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| OBEID, MAMON A | 1 | 46.1% | +33.1% |
| GAN, CHUEN-MEEI | 1 | 81.5% | +41.3% |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 19242683 | Systems and Methods for Optimizing Composite Scores | OBEID, MAMON A | — |
| 18308619 | Systems and Methods for Adjusting Randomized Experiment Parameters for Prognostic Models | GAN, CHUEN-MEEI | — |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 19242683 | Systems and Methods for Optimizing Composite Scores | OBEID, MAMON A | — |
| 18308619 | Systems and Methods for Adjusting Randomized Experiment Parameters for Prognostic Models | GAN, CHUEN-MEEI | — |
| Art Unit | Apps |
|---|---|
| 3687 | 1 |
| 2189 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19242683 | Systems and Methods for Optimizing Composite Scores | OBEID, MAMON A | 3687 | §101§103 | Non-Final OA | — | Pending | Jun 18, 2025 |
| 18308619 | Systems and Methods for Adjusting Randomized Experiment Parameters for Prognostic Models | GAN, CHUEN-MEEI | 2189 | §101§103 | Non-Final OA | — | Pending | Apr 27, 2023 |
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Start Free TrialUnlearn AI Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Mamon A Obeid has the most, with 1 of Unlearn AI Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
