Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Innovaccer Inc. is prosecuting a portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. The company has 3 pending office actions currently active. These 3 actions are distributed among 3 distinct examiners, indicating that no two pending matters are being reviewed by the same person. This distribution suggests that the company is managing multiple independent examination tracks within the patent office.
The prosecution is also occurring across 3 distinct art units. MALHOTRA, SANJEEV is the busiest examiner for the company, with 1 busiest examiner pending action. Given that there are 3 pending office actions and 3 distinct examiners, the workload is perfectly distributed, with each examiner handling 1 action. This distribution across 3 distinct art units and 3 distinct examiners within the Transportation, E-Commerce & Mechanical Systems area suggests a diverse set of applications.
Practitioners should be prepared for varied examination styles and potentially different prior art landscapes, as each of the 3 pending office actions is being treated as a separate technical and administrative track. The lack of overlap in examiners or art units means that the outcome of one action is unlikely to directly influence the others. This structure requires a diversified prosecution strategy to address the specific requirements of each of the 3 distinct art units involved.
Based on the USPTO statutory response window for each pending office action. 2 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 (33%) |
| §103 only | 2 (67%) |
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 |
|---|---|---|---|
| MALHOTRA, SANJEEV | 1 | 65.8% | +30.2% |
| NEWTON, CHAD A | 1 | 38.4% | +23.4% |
| HAN, JOSEP | 1 | 48.1% | +11.0% |
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 |
|---|---|---|---|
| 18420434 | METHOD AND SYSTEM FOR AUTOMATED DATA INGESTION IN A REAL-TIME | MALHOTRA, SANJEEV | 55d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18540583 | IDENTIFYING MATERNITY SEVERITY INDEX FOR WOMEN | NEWTON, CHAD A | 27d |
| 18420434 | METHOD AND SYSTEM FOR AUTOMATED DATA INGESTION IN A REAL-TIME | MALHOTRA, SANJEEV | 55d |
| 17988505 | METHOD AND SYSTEM FOR REFINING COLUMN MAPPINGS USING BYTE LEVEL ATTENTION BASED NEURAL MODEL | HAN, JOSEP | — |
| Art Unit | Apps |
|---|---|
| 3691 | 1 |
| 3681 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18420434 | METHOD AND SYSTEM FOR AUTOMATED DATA INGESTION IN A REAL-TIME | MALHOTRA, SANJEEV | 3691 | §101 | Final Rejection | 55d | Pending | Jan 23, 2024 |
| 18540583 | IDENTIFYING MATERNITY SEVERITY INDEX FOR WOMEN | NEWTON, CHAD A | 3681 | §103 | Final Rejection | 27d | Pending | Dec 14, 2023 |
| 17988505 | METHOD AND SYSTEM FOR REFINING COLUMN MAPPINGS USING BYTE LEVEL ATTENTION BASED NEURAL MODEL | HAN, JOSEP | 2122 | §103 | Final Rejection | — | Pending | Nov 16, 2022 |
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Start Free TrialInnovaccer Inc. has 3 pending office actions as of October 2026, spread across 3 art units and 3 examiners.
Sanjeev Malhotra has the most, with 1 of Innovaccer Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
