Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Osmo Labs Pbc has 1 pending office action currently under review at the USPTO. This matter is assigned to a distinct examiner, Bijan Ahvazi. Consequently, Ahvazi is the busiest examiner for this profile with 1 pending office action.
The prosecution activity for this portfolio is limited to this 1 pending action. There are no other examiners or active cases reported in the current data, making the interaction with Ahvazi the sole focus of the current patent strategy.
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.
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 |
|---|---|
| §103 only | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| AHVAZI, BIJAN | 1 | 63.2% | +47.3% |
| BRAHMACHARI, MANDRITA | 1 | 76.8% | +28.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18820161 | FRAGRANCE AND FLAVOR COMPOSITIONS COMPRISING NEW FLAVOR AND FRAGRANCE INGREDIENTS | AHVAZI, BIJAN | — |
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 |
|---|---|---|---|
| 18036707 | MACHINE-LEARNED MODELS FOR SENSORY PROPERTY PREDICTION | BRAHMACHARI, MANDRITA | 3d overdue |
| 18820161 | FRAGRANCE AND FLAVOR COMPOSITIONS COMPRISING NEW FLAVOR AND FRAGRANCE INGREDIENTS | AHVAZI, BIJAN | — |
| Art Unit | Apps |
|---|---|
| 2144 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18820161 | FRAGRANCE AND FLAVOR COMPOSITIONS COMPRISING NEW FLAVOR AND FRAGRANCE INGREDIENTS | AHVAZI, BIJAN | — | §102§112 | Non-Final OA | — | Pending | Aug 29, 2024 |
| 18036707 | MACHINE-LEARNED MODELS FOR SENSORY PROPERTY PREDICTION | BRAHMACHARI, MANDRITA | 2144 | §103 | Non-Final OA | 3d overdue | Pending | May 12, 2023 |
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