Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
13 pending office actions • 8 art units • 13 examiners • 0 of 13 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Groq Inc. currently has 12 pending office actions within the Computing & Software technology area. These actions are distributed among 12 distinct examiners and 7 distinct art units. This distribution shows that every pending action is being handled by a different individual, requiring a versatile approach to prosecution across the 12 distinct examiners.
The busiest examiner for the portfolio is TAN, RICHARD, who is responsible for 1 pending action. Although the 12 pending office actions are spread across 7 distinct art units, the lack of examiner concentration means that no single examiner has a dominant influence over the portfolio. Practitioners must tailor their arguments to the specific preferences of each of the 12 distinct examiners involved in these cases. The involvement of 7 distinct art units suggests that the company's technology spans several different software classifications, necessitating a broad understanding of various examination practices to resolve the 12 pending office actions.
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 | 1 (8%) |
| §101 + other | 4 (31%) |
| §103 only | 3 (23%) |
| Multi-statute (no §101) | 5 (38%) |
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 |
|---|---|---|---|
| TAN, RICHARD | 1 | 79.5% | +23.0% |
| GIROUARD, JANICE MARIE | 1 | 74.3% | +13.4% |
| REHMAN, MOHAMMED H | 1 | 83.4% | +18.5% |
| CHOY, KA SHAN | 1 | 93.1% | +10.0% |
| SPANN, COURTNEY P | 1 | 80.0% | +22.1% |
| LEE, CHUN KUAN | 1 | 68.4% | +3.7% |
| XU, ZUJIA | 1 | 68.4% | +75.7% |
| AYERS, MICHAEL W | 1 | 70.6% | +51.0% |
| JIANG, HAIMEI | 1 | 52.2% | +31.5% |
| KING, JOHN B | 1 | 80.8% | +37.3% |
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 |
|---|---|---|---|
| 18352602 | PROCESSOR ARCHITECTURE AND MODEL EXPLORATION SYSTEM FOR DEEP LEARNING | KING, JOHN B | 14d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19557565 | ENERGY PROVISIONING | TAN, RICHARD | — |
| 19071257 | POWER MANAGEMENT IN DETERMINISTIC TENSOR STREAMING PROCESSORS | REHMAN, MOHAMMED H | — |
| 19015397 | PERMISSION CONTROL VIA DATA REDUNDANCY IN DETERMINISTIC STREAMING SYSTEM | CHOY, KA SHAN | — |
| 18968692 | PROCESSOR INSTRUCTION DISPATCH CONFIGURATION | SPANN, COURTNEY P | — |
| 18689011 | SCALE COMPUTING IN DETERMINISTIC CLOUD ENVIRONMENTS | XU, ZUJIA | — |
| 18593543 | PROACTIVE THERMAL MANAGEMENT OF A DETERMINISTIC PROCESSOR TO IMPROVE LATENCY, THROUGHPUT, AND RELIABILITY | AYERS, MICHAEL W | — |
| 18519601 | MULTI-PASS COMPRESSION OF UNCOMPRESSED DATA | JIANG, HAIMEI | — |
| 18352784 | METHODOLOGY TO GENERATE EFFICIENT MODELS AND ARCHITECTURES FOR DEEP LEARNING | HINCKLEY, CHASE PAUL | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18352602 | PROCESSOR ARCHITECTURE AND MODEL EXPLORATION SYSTEM FOR DEEP LEARNING | KING, JOHN B | 14d |
| 19557565 | ENERGY PROVISIONING | TAN, RICHARD | — |
| 19264468 | METHOD TO MANAGE PERIODIC DRAM REFRESH AND MAINTENANCE SCHEDULING FOR PREDICTABLE DRAM DATA ACCESS | GIROUARD, JANICE MARIE | — |
| 19071257 | POWER MANAGEMENT IN DETERMINISTIC TENSOR STREAMING PROCESSORS | REHMAN, MOHAMMED H | — |
| 19015397 | PERMISSION CONTROL VIA DATA REDUNDANCY IN DETERMINISTIC STREAMING SYSTEM | CHOY, KA SHAN | — |
| 18968692 | PROCESSOR INSTRUCTION DISPATCH CONFIGURATION | SPANN, COURTNEY P | — |
| 18689011 | SCALE COMPUTING IN DETERMINISTIC CLOUD ENVIRONMENTS | XU, ZUJIA | — |
| 18593543 | PROACTIVE THERMAL MANAGEMENT OF A DETERMINISTIC PROCESSOR TO IMPROVE LATENCY, THROUGHPUT, AND RELIABILITY | AYERS, MICHAEL W | — |
| Art Unit | Apps |
|---|---|
| 2836 | 1 |
| 2138 | 1 |
| 2181 | 1 |
| 3762 | 1 |
| 2498 | 1 |
| 2124 | 1 |
| 2148 | 1 |
| 2151 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19557565 | ENERGY PROVISIONING | TAN, RICHARD | 2836 | §103§112 | Final Rejection | — | Pending | Mar 05, 2026 |
| 19264468 | METHOD TO MANAGE PERIODIC DRAM REFRESH AND MAINTENANCE SCHEDULING FOR PREDICTABLE DRAM DATA ACCESS | GIROUARD, JANICE MARIE | 2138 | §103Other | Final Rejection | — | Pending | Jul 09, 2025 |
| 19071257 | POWER MANAGEMENT IN DETERMINISTIC TENSOR STREAMING PROCESSORS | REHMAN, MOHAMMED H | — | §102§103Other | Non-Final OA | — | Pending | Mar 05, 2025 |
| 19015397 | PERMISSION CONTROL VIA DATA REDUNDANCY IN DETERMINISTIC STREAMING SYSTEM | CHOY, KA SHAN | — | §101 | Non-Final OA | — | Pending | Jan 09, 2025 |
| 18968692 | PROCESSOR INSTRUCTION DISPATCH CONFIGURATION | SPANN, COURTNEY P | — | §103§112Other | Non-Final OA | — | Pending | Dec 04, 2024 |
| 18840368 | DIE-TO-DIE DENSE PACKAGING OF DETERMINISTIC STREAMING PROCESSORS | LEE, CHUN KUAN | 2181 | §103 | Non-Final OA | — | Pending | Aug 21, 2024 |
| 18689011 | SCALE COMPUTING IN DETERMINISTIC CLOUD ENVIRONMENTS | XU, ZUJIA | — | §101§103§112 | Non-Final OA | — | Pending | Mar 04, 2024 |
| 18593543 | PROACTIVE THERMAL MANAGEMENT OF A DETERMINISTIC PROCESSOR TO IMPROVE LATENCY, THROUGHPUT, AND RELIABILITY | AYERS, MICHAEL W | — | §101§102§103 | Non-Final OA | — | Pending | Mar 01, 2024 |
| 18519601 | MULTI-PASS COMPRESSION OF UNCOMPRESSED DATA | JIANG, HAIMEI | 3762 | §103§112Other | Non-Final OA | — | Pending | Nov 27, 2023 |
| 18352602 | PROCESSOR ARCHITECTURE AND MODEL EXPLORATION SYSTEM FOR DEEP LEARNING | KING, JOHN B | 2498 | §103 | Final Rejection | 14d | Pending | Jul 14, 2023 |
| 18352784 | METHODOLOGY TO GENERATE EFFICIENT MODELS AND ARCHITECTURES FOR DEEP LEARNING | HINCKLEY, CHASE PAUL | 2124 | §101§103§112 | Final Rejection | — | Pending | Jul 14, 2023 |
| 18336589 | EFFICIENT PROCESSING OF TRANSFORMER BASED MODELS | BEJCEK II, ROBERT H | 2148 | §101§103§112 | Non-Final OA | — | Pending | Jun 16, 2023 |
| 17351044 | Systems and Methods for Numerical Precision in Digital Multiplier Circuitry | VILLANUEVA, MARKUS ANTHONY | 2151 | §103§112Other | Final Rejection | — | Pending | Jun 17, 2021 |
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