Technology areas: Computing & Software • Semiconductors, Circuits & Optics • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready
Camelot UK Bidco Limited has 5 pending office actions in Computing & Software. The matters are distributed among 5 distinct examiners and 5 distinct art units. This one-to-one distribution indicates that each pending matter has its own examiner and art-unit setting, with no visible concentration in the current record.
BHAT, VIBHA NARAYAN is the busiest examiner, with 1 pending matter. The limited share associated with that examiner reinforces the dispersed structure of the portfolio. Prosecution planning should therefore emphasize matter-specific claim analysis, interview preparation, and deadline control rather than relying on a single examiner 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 |
|---|---|
| §101 only | 2 (40%) |
| §101 + other | 2 (40%) |
| §103 only | 1 (20%) |
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 |
|---|---|---|---|
| BHAT, VIBHA NARAYAN | 1 | — | — |
| HENSON, MISCHITA L | 1 | 75.9% | +15.0% |
| SINGLETARY, TYRONE E | 1 | 29.9% | +27.8% |
| ALLEN, NICHOLAS E | 1 | 75.6% | +14.6% |
| CHEN, WENREN | 1 | 15.3% | +29.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18047047 | METHODS AND SYSTEMS FOR RANKING TRADEMARK SEARCH RESULTS | ALLEN, NICHOLAS E | 27d |
| 18590188 | HYBRID ARTIFICIAL INTELLIGENCE CLASSIFIER | BHAT, VIBHA NARAYAN | — |
| 18421694 | SEARCHING A CHEMICAL STRUCTURE DATABASE BASED ON CENTROIDS | HENSON, MISCHITA L | — |
| 18068825 | SYSTEMS AND METHODS FOR DETERMINING ENTITIES BASED ON TRADEMARK PORTFOLIO SIMILARITY | SINGLETARY, TYRONE E | — |
| 18046394 | MACHINE-LEARNING BASED TECHNIQUES FOR PREDICTING TRADEMARK SIMILARITY | CHEN, WENREN | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18047047 | METHODS AND SYSTEMS FOR RANKING TRADEMARK SEARCH RESULTS | ALLEN, NICHOLAS E | 27d |
| 18421694 | SEARCHING A CHEMICAL STRUCTURE DATABASE BASED ON CENTROIDS | HENSON, MISCHITA L | — |
| 18068825 | SYSTEMS AND METHODS FOR DETERMINING ENTITIES BASED ON TRADEMARK PORTFOLIO SIMILARITY | SINGLETARY, TYRONE E | — |
| 18046394 | MACHINE-LEARNING BASED TECHNIQUES FOR PREDICTING TRADEMARK SIMILARITY | CHEN, WENREN | — |
| Art Unit | Apps |
|---|---|
| 2142 | 1 |
| 2857 | 1 |
| 3625 | 1 |
| 2154 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18590188 | HYBRID ARTIFICIAL INTELLIGENCE CLASSIFIER | BHAT, VIBHA NARAYAN | 2142 | §101§103§112 | Non-Final OA | — | Pending | Feb 28, 2024 |
| 18421694 | SEARCHING A CHEMICAL STRUCTURE DATABASE BASED ON CENTROIDS | HENSON, MISCHITA L | 2857 | §101 | Non-Final OA | — | Pending | Jan 24, 2024 |
| 18068825 | SYSTEMS AND METHODS FOR DETERMINING ENTITIES BASED ON TRADEMARK PORTFOLIO SIMILARITY | SINGLETARY, TYRONE E | 3625 | §103 | Non-Final OA | — | Pending | Dec 20, 2022 |
| 18047047 | METHODS AND SYSTEMS FOR RANKING TRADEMARK SEARCH RESULTS | ALLEN, NICHOLAS E | 2154 | §101§103 | Final Rejection | 27d | Pending | Oct 17, 2022 |
| 18046394 | MACHINE-LEARNING BASED TECHNIQUES FOR PREDICTING TRADEMARK SIMILARITY | CHEN, WENREN | 3626 | §101 | Final Rejection | — | Pending | Oct 13, 2022 |
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Start Free TrialCamelot UK Bidco Limited has 5 pending office actions as of October 2026, spread across 5 art units and 5 examiners.
Vibha Narayan Bhat has the most, with 1 of Camelot UK Bidco Limited's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
