Technology area: Communications
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Deepbrain AI Inc. has 2 pending office actions within the Communications technology area. These actions are split between 2 distinct examiners and 2 distinct art units, indicating that the company's current patent filings are being reviewed by different specialized groups. This distribution suggests that the company's innovations in the communications sector are being evaluated through multiple technical lenses at the USPTO.
The busiest examiner for the portfolio is VANCHY JR, MICHAEL J, who is managing 1 pending office action. With a busiest examiner pending count of 1 and a total of 2 pending office actions, the workload is evenly distributed across the 2 distinct examiners. This arrangement prevents any single examiner from having a disproportionate influence over the company's entire pending pipeline, allowing for independent progress on each matter.
Practitioners should note that managing 2 pending office actions across 2 distinct art units requires a coordinated strategy to ensure consistent claim language and overall patent goals. The lack of concentration under a single examiner allows the company to receive varied feedback, which can be useful for refining its intellectual property strategy in the Communications field. Each matter must be handled according to the specific procedural norms of its assigned art unit.
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 | 1 (50%) |
| §103 only | 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 |
|---|---|---|---|
| VANCHY JR, MICHAEL J | 1 | 66.9% | +20.0% |
| ADESANYA, OLUJIMI A | 1 | 65.9% | +27.0% |
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 |
|---|---|---|---|
| 18822615 | METHOD AND APPARATUS FOR LEARNING KEY POINT OF BASED NEURAL NETWORK | VANCHY JR, MICHAEL J | — |
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 |
|---|---|---|---|
| 18822615 | METHOD AND APPARATUS FOR LEARNING KEY POINT OF BASED NEURAL NETWORK | VANCHY JR, MICHAEL J | — |
| 18788311 | METHOD AND APPARATUS FOR SYNTHESIZING VOICE OF BASED TEXT | ADESANYA, OLUJIMI A | — |
| Art Unit | Apps |
|---|---|
| 2666 | 1 |
| 2658 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18822615 | METHOD AND APPARATUS FOR LEARNING KEY POINT OF BASED NEURAL NETWORK | VANCHY JR, MICHAEL J | 2666 | §101§112 | Final Rejection | — | Pending | Sep 03, 2024 |
| 18788311 | METHOD AND APPARATUS FOR SYNTHESIZING VOICE OF BASED TEXT | ADESANYA, OLUJIMI A | 2658 | §103 | Non-Final OA | — | Pending | Jul 30, 2024 |
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Start Free TrialDeepbrain AI Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Michael J Vanchy Jr. has the most, with 1 of Deepbrain AI Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
