Technology area: Computing & Software
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
DataRobot Inc. has 5 pending office actions in Computing & Software. The matters are assigned to 5 distinct examiners and 5 distinct art units, indicating a fully distributed examination workload. PYO, MONICA M is the busiest examiner, with 1 pending matter.
The matching matter, examiner, and art-unit figures favor application-specific prosecution management. Counsel should maintain a consistent explanation of the software architecture and technical effect while tailoring each response to its assigned examination record. A centralized claim chart can help identify recurring terminology and prevent inconsistent positions, but no single examiner relationship appears to govern the reported docket.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (20%) |
| §101 + other | 1 (20%) |
| §103 only | 2 (40%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| PYO, MONICA M | 1 | 83.0% | +35.3% |
| VINCENT, DAVID ROBERT | 1 | 80.4% | +3.8% |
| DO, CHAT C | 1 | 43.8% | +11.5% |
| NGUYEN, NHAT HUY T | 1 | 54.0% | +23.5% |
| ALSHAHARI, SADIK AHMED | 1 | 36.2% | +36.9% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 28d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | DO, CHAT C | 13d |
| 18607346 | SYSTEMS AND METHODS FOR GENERATING DESCRIPTIONS OF DATA SETS AND/OR MODELS | VINCENT, DAVID ROBERT | — |
| 17693127 | SYSTEMS AND METHODS FOR TIME SERIES MODELING | ALSHAHARI, SADIK AHMED | — |
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 |
|---|---|---|---|
| 18078639 | SYSTEM AND METHOD TO GENERATE A USER INTERFACE PRESENTING A PREDICITION OR EXPLANATION OF INPUT DATA HAVING A TIME SERIES DEPENDENCY OR A GEOSPATIAL DEPENDENCY | NGUYEN, NHAT HUY T | 32d overdue |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | DO, CHAT C | 13d |
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 28d |
| 17693127 | SYSTEMS AND METHODS FOR TIME SERIES MODELING | ALSHAHARI, SADIK AHMED | — |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2123 | 1 |
| 2193 | 1 |
| 2147 | 1 |
| 2121 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18801663 | SYSTEMS AND METHODS FOR DEVELOPMENT, ASSESSMENT, AND/OR MONITORING OF A GENERATIVE AI SYSTEM | PYO, MONICA M | 2161 | §103 | Final Rejection | 28d | Pending | Aug 12, 2024 |
| 18607346 | SYSTEMS AND METHODS FOR GENERATING DESCRIPTIONS OF DATA SETS AND/OR MODELS | VINCENT, DAVID ROBERT | 2123 | §101 | Non-Final OA | — | Pending | Mar 15, 2024 |
| 18506380 | CUSTOMIZABLE AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | DO, CHAT C | 2193 | §103§112 | Non-Final OA | 13d | Pending | Nov 10, 2023 |
| 18078639 | SYSTEM AND METHOD TO GENERATE A USER INTERFACE PRESENTING A PREDICITION OR EXPLANATION OF INPUT DATA HAVING A TIME SERIES DEPENDENCY OR A GEOSPATIAL DEPENDENCY | NGUYEN, NHAT HUY T | 2147 | §103 | Final Rejection | 32d overdue | Pending | Dec 09, 2022 |
| 17693127 | SYSTEMS AND METHODS FOR TIME SERIES MODELING | ALSHAHARI, SADIK AHMED | 2121 | §101§102§103 | Non-Final OA | — | Pending | Mar 11, 2022 |
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Start Free TrialDataRobot Inc. has 5 pending office actions as of October 2026, spread across 5 art units and 5 examiners.
Monica M Pyo has the most, with 1 of DataRobot Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
