Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Neuronix AI Labs Inc. operates in the Computing & Software technology area. The portfolio currently has 3 pending office actions. These actions are spread across 3 distinct art units, suggesting that each matter involves different technical classifications. The 3 distinct art units indicate that the 3 pending office actions are being reviewed by three separate specialized groups.
The prosecution is handled by 3 distinct examiners. EL-HAGE HASSAN, ABDALLAH A is the busiest examiner for the company, currently managing 1 busiest examiner pending office action. With 3 distinct examiners for 3 pending office actions, the workload is evenly distributed across the distinct art units. This one-to-one ratio ensures that each case is being handled by a different individual, providing a decentralized prosecution environment for the 3 pending office actions.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 only | 1 (33%) |
| §101 + other | 1 (33%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| EL-HAGE HASSAN, ABDALLAH A | 1 | 42.9% | +40.4% |
| HOANG, MICHAEL H | 1 | 54.8% | +23.1% |
| TRAN, TAN H | 1 | 60.9% | +32.6% |
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 |
|---|---|---|---|
| 18328631 | NEURAL NETWORKS PROCESSING UNITS ACTIVATION SPARSITY REMOVAL | TRAN, TAN H | 2d overdue |
| 18328629 | NEURAL NETWORKS PROCESSING UNITS WEIGHT SPARSITY REMOVAL | HOANG, MICHAEL H | 15d |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 18328631 | NEURAL NETWORKS PROCESSING UNITS ACTIVATION SPARSITY REMOVAL | TRAN, TAN H | 2d overdue |
| 18328629 | NEURAL NETWORKS PROCESSING UNITS WEIGHT SPARSITY REMOVAL | HOANG, MICHAEL H | 15d |
| 19048703 | NEURAL NETWORKS PROCESSING UNITS PERFORMANCE OPTIMIZATION | EL-HAGE HASSAN, ABDALLAH A | — |
| Art Unit | Apps |
|---|---|
| 3623 | 1 |
| 2122 | 1 |
| 2141 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19048703 | NEURAL NETWORKS PROCESSING UNITS PERFORMANCE OPTIMIZATION | EL-HAGE HASSAN, ABDALLAH A | 3623 | §103 | Non-Final OA | — | Pending | Feb 07, 2025 |
| 18328629 | NEURAL NETWORKS PROCESSING UNITS WEIGHT SPARSITY REMOVAL | HOANG, MICHAEL H | 2122 | §101 | Final Rejection | 15d | Pending | Jun 02, 2023 |
| 18328631 | NEURAL NETWORKS PROCESSING UNITS ACTIVATION SPARSITY REMOVAL | TRAN, TAN H | 2141 | §101§102§103 | Final Rejection | 2d overdue | Pending | Jun 02, 2023 |
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