Prosecution Insights
Last updated: May 29, 2026

AtomBeam Technologies Inc.

12 pending office actions • 6 art units • 6 examiners • 0 of 12 (0%) have an AI response strategy ready • 85 patents granted in the last 365 days

Portfolio Summary

12
Total Pending OAs
4
Non-Final OAs
8
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 12 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

2
Overdue
1
Due this week
5
Due this month
4
Due in next 60 days
0
Due later

Deadline Fire Line

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. 12 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (2)Due ≤ 7 days (1)Due ≤ 30 days (5)Due ≤ 60 days (4)

Case Difficulty Mix

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.

1
Hard (8%)
9
Medium (75%)
1
Easy (8%)
1
Unknown (8%)

Rejection Statute Mix

BucketCases
§101 only1 (8%)
§103 only9 (75%)
§112 only1 (8%)
No statute on record1 (8%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
11
Information Tech
92% of docket
1
Communications
8% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

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.

120 h
Manual time on pending OAs
24 h
Time saved (low, 20%)
42 h
Time saved (mid, 35%)
1.1 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
GODO, MORIAM MOSUNMOLA 7 43.5% +33.7%
BOSTWICK, SIDNEY VINCENT 1 51.4% +38.0%
MCCARTHY, CHRISTOPHER S 1 86.2% -4.4%
DHOOGE, DEVIN J 1 70.9% +35.8%
ALSIP, MICHAEL 1 74.9% +5.4%
FOROUHARNEJAD, FAEZEH 1 67.0% +28.9%

Hard Cases (1)

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 #TitleExaminerDue in
18970912 SYSTEM AND METHOD FOR RECOVERING LOST OR CORRUPTED DATA USING A CORRELATION NETWORK MCCARTHY, CHRISTOPHER S 28d

Interview Candidates (10)

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 #TitleExaminerDue in
19050038 ADVERSARIAL-ROBUST VECTOR QUANTIZED VARIATIONAL AUTOENCODER WITH SECURE LATENT SPACE FOR TIME-SERIES DATA BOSTWICK, SIDNEY VINCENT 3d overdue
18928182 ENHANCED SYSTEMS AND METHODS FOR SYNTHETIC APERTURE RADAR IMAGE COMPRESSION WITH IMPROVED PHASE RECOVERY AND UNWRAPPING DHOOGE, DEVIN J 5d
18914240 DEEP LEARNING ARCHITECTURE FOR OPERATING ON HOMOMORPHICALLY COMPRESSED AND ENCRYPTED DATA GODO, MORIAM MOSUNMOLA 22d
18907466 MULTIMODAL DATA PROCESSING AND GENERATION SYSTEM USING VQ-VAE AND LATENT TRANSFORMER GODO, MORIAM MOSUNMOLA 22d
18918077 REAL-TIME TIME SERIES FORECASTING USING A COMPOUND LARGE CODEWORD MODEL GODO, MORIAM MOSUNMOLA 26d
19054759 DYNAMICALLY-ENCODED AGENT NETWORK FOR OPTIMIZED DEEP LEARNING GODO, MORIAM MOSUNMOLA 29d
18907456 MEDICAL IMAGING DATA COMPRESSION UTILIZING CODEBOOKS FOROUHARNEJAD, FAEZEH 34d
19076924 HIERARCHICAL THOUGHT SUPERVISION NETWORK FOR ADAPTIVE PROCESSING GODO, MORIAM MOSUNMOLA 47d

Top Art Units

Art UnitApps
2148 7
2124 1
2113 1
2677 1
2139 1
2166 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19328206 System and Method for Persistent Cognitive Machine on Neuromorphic Platform GODO, MORIAM MOSUNMOLA 2148 §103 Final Rejection 56d Pending Sep 14, 2025
19205960 Deep Learning Core with Persistent Cognitive Neural Architecture GODO, MORIAM MOSUNMOLA 2148 §103 Final Rejection 48d Pending May 12, 2025
19076924 HIERARCHICAL THOUGHT SUPERVISION NETWORK FOR ADAPTIVE PROCESSING GODO, MORIAM MOSUNMOLA 2148 Final Rejection 47d Pending Mar 11, 2025
19054759 DYNAMICALLY-ENCODED AGENT NETWORK FOR OPTIMIZED DEEP LEARNING GODO, MORIAM MOSUNMOLA 2148 §103 Final Rejection 29d Pending Feb 14, 2025
19050038 ADVERSARIAL-ROBUST VECTOR QUANTIZED VARIATIONAL AUTOENCODER WITH SECURE LATENT SPACE FOR TIME-SERIES DATA BOSTWICK, SIDNEY VINCENT 2124 §103 Non-Final OA 3d overdue Pending Feb 10, 2025
18970912 SYSTEM AND METHOD FOR RECOVERING LOST OR CORRUPTED DATA USING A CORRELATION NETWORK MCCARTHY, CHRISTOPHER S 2113 §101 Final Rejection 28d Pending Dec 06, 2024
18928182 ENHANCED SYSTEMS AND METHODS FOR SYNTHETIC APERTURE RADAR IMAGE COMPRESSION WITH IMPROVED PHASE RECOVERY AND UNWRAPPING DHOOGE, DEVIN J 2677 §103 Non-Final OA 5d Pending Oct 28, 2024
18919468 DATA COMPRESSION WITH SIGNATURE-BASED VERIFIABLE INTRUSION DETECTION AND PREDICTION ALSIP, MICHAEL 2139 §112 Final Rejection 42d overdue Pending Oct 18, 2024
18918077 REAL-TIME TIME SERIES FORECASTING USING A COMPOUND LARGE CODEWORD MODEL GODO, MORIAM MOSUNMOLA 2148 §103 Non-Final OA 26d Pending Oct 17, 2024
18914240 DEEP LEARNING ARCHITECTURE FOR OPERATING ON HOMOMORPHICALLY COMPRESSED AND ENCRYPTED DATA GODO, MORIAM MOSUNMOLA 2148 §103 Final Rejection 22d Pending Oct 13, 2024
18907456 MEDICAL IMAGING DATA COMPRESSION UTILIZING CODEBOOKS FOROUHARNEJAD, FAEZEH 2166 §103 Non-Final OA 34d Pending Oct 04, 2024
18907466 MULTIMODAL DATA PROCESSING AND GENERATION SYSTEM USING VQ-VAE AND LATENT TRANSFORMER GODO, MORIAM MOSUNMOLA 2148 §103 Final Rejection 22d Pending Oct 04, 2024

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