Technology area: Computing & Software
13 pending office actions • 10 art units • 13 examiners • 0 of 13 (0%) have an AI response strategy ready • 36 patents granted in the last 365 days
Databricks Inc. has 13 pending office actions in Computing & Software. The matters involve 13 distinct examiners and 10 art units, showing that examiner assignments are fully distributed while several matters share technical-assignment groupings.
ALMANI, MOHSEN is the busiest examiner, with 1 pending action. The listed data does not show examiner concentration, so counsel should emphasize matter-specific analysis and systematic coordination of software claim terminology. Art-unit groupings may help identify recurring technical issues across otherwise separate examination paths.
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 + other | 3 (23%) |
| §103 only | 7 (54%) |
| §102 only | 1 (8%) |
| Multi-statute (no §101) | 2 (15%) |
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 |
|---|---|---|---|
| ALMANI, MOHSEN | 1 | 50.1% | +21.9% |
| GADALLA, HANY S | 1 | 72.8% | +35.6% |
| SHAH, VAISHALI | 1 | 57.4% | +52.9% |
| ABSHER, LUCAS DONALD | 1 | — | — |
| ONAT, UMUT | 1 | 79.7% | +28.7% |
| ALLEN, NICHOLAS E | 1 | 75.6% | +14.6% |
| VAZ, JANICE EZVI | 1 | 76.3% | +20.3% |
| BOYCE, ANDRE D | 1 | 36.8% | +18.9% |
| FITCH, GRANT FREDERICK | 1 | — | — |
| RHO, YONG DOO | 1 | — | — |
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 |
|---|---|---|---|
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 31d overdue |
| 19072814 | Managed Metastore | GADALLA, HANY S | — |
| 18745847 | STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS | ALLEN, NICHOLAS E | — |
| 18610072 | TRAINING MACHINE LEARNING TRANSFORMER ARCHITECTURES WITH HYBRID MOVING AVERAGE | FITCH, GRANT FREDERICK | — |
| 18425893 | BATCH SELECTION FOR TRAINING MACHINE-LEARNED LARGE LANGUAGE MODELS | RHO, YONG DOO | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 31d overdue |
| 18653469 | GENERATING SYNTHETIC CAPTIONS FOR TRAINING TEXT-TO-IMAGE GENERATIVE MODELS | VAZ, JANICE EZVI | 4d overdue |
| 19228554 | Feature Store with Integrated Tracking | ALMANI, MOHSEN | — |
| 19072814 | Managed Metastore | GADALLA, HANY S | — |
| 18991864 | MODEL DISCOVERY ENGINE FOR MACHINE-LEARNING MODELS DEPLOYED BY DATA PROCESSING SERVICE | SHAH, VAISHALI | — |
| 18885197 | VIRTUAL ENVIRONMENT CACHING FOR SERVERLESS WORKLOADS | ONAT, UMUT | — |
| 18745847 | STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS | ALLEN, NICHOLAS E | — |
| Art Unit | Apps |
|---|---|
| 2194 | 2 |
| 2147 | 2 |
| 2145 | 2 |
| 2159 | 1 |
| 2493 | 1 |
| 2156 | 1 |
| 2154 | 1 |
| 2667 | 1 |
| 3623 | 1 |
| 2124 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19228554 | Feature Store with Integrated Tracking | ALMANI, MOHSEN | 2159 | §103 | Final Rejection | — | Pending | Jun 04, 2025 |
| 19072814 | Managed Metastore | GADALLA, HANY S | 2493 | §102§103Other | Non-Final OA | — | Pending | Mar 06, 2025 |
| 18991864 | MODEL DISCOVERY ENGINE FOR MACHINE-LEARNING MODELS DEPLOYED BY DATA PROCESSING SERVICE | SHAH, VAISHALI | 2156 | §103 | Non-Final OA | — | Pending | Dec 23, 2024 |
| 18885186 | SYNCHRONIZING LIBRARY VIRTUAL ENVIRONMENTS IN A SERVERLESS SETTING | ABSHER, LUCAS DONALD | 2194 | §103 | Non-Final OA | — | Pending | Sep 13, 2024 |
| 18885197 | VIRTUAL ENVIRONMENT CACHING FOR SERVERLESS WORKLOADS | ONAT, UMUT | 2194 | §102 | Non-Final OA | — | Pending | Sep 13, 2024 |
| 18745847 | STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS | ALLEN, NICHOLAS E | 2154 | §101§103§112 | Non-Final OA | — | Pending | Jun 17, 2024 |
| 18653469 | GENERATING SYNTHETIC CAPTIONS FOR TRAINING TEXT-TO-IMAGE GENERATIVE MODELS | VAZ, JANICE EZVI | 2667 | §103 | Final Rejection | 4d overdue | Pending | May 02, 2024 |
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 3623 | §101§103§112 | Non-Final OA | 31d overdue | Pending | Mar 21, 2024 |
| 18610072 | TRAINING MACHINE LEARNING TRANSFORMER ARCHITECTURES WITH HYBRID MOVING AVERAGE | FITCH, GRANT FREDERICK | 2124 | §102§103 | Non-Final OA | — | Pending | Mar 19, 2024 |
| 18425893 | BATCH SELECTION FOR TRAINING MACHINE-LEARNED LARGE LANGUAGE MODELS | RHO, YONG DOO | 2147 | §101§103 | Non-Final OA | — | Pending | Jan 29, 2024 |
| 18424774 | LEARNING RATE SCHEDULE FOR TRAINING MACHINE LEARNING BASED LANGUAGE MODELS | LEE, WILLIAM MICHAEL | 2145 | §103 | Non-Final OA | — | Pending | Jan 27, 2024 |
| 18414270 | TRAINING MACHINE-LEARNED TRANSFORMER ARCHITECTURES BY CLIPPING QUERIES, KEYS, AND VALUES | TSAI, JAMES T | 2147 | §103 | Non-Final OA | — | Pending | Jan 16, 2024 |
| 17587793 | OPTIMIZATION OF TUNING FOR MODELS USED FOR MULTIPLE PREDICTION GENERATION | TAN, DAVID H | 2145 | §103 | Non-Final OA | 38d overdue | Pending | Jan 28, 2022 |
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Start Free TrialDatabricks Inc. has 13 pending office actions as of October 2026, spread across 10 art units and 13 examiners.
Mohsen Almani has the most, with 1 of Databricks Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
