Examiner: ABEBE, DANIEL DEMELASH

Tech Center 2600 • Art Units: 2626 2655 2657 2658

This examiner grants 90% of resolved cases

Analysis

Daniel Demelash Abebe is a very high-volume examiner in Tech Center 2600 and Art Unit 2626, with 1040 resolved cases. The allowance rate of 89.7 percent indicates a highly favorable and consistent environment for applicants. The massive dataset of 1040 cases provides exceptional reliability for these figures.

The median days to allowance is 904. This timeline, combined with the 89.7 percent allowance rate, suggests a predictable and efficient path to issuance. The 1040 resolved cases show a clear pattern of successful outcomes within a standard timeframe for this tech center.

The interview lift is 7.4 percent. While the impact of an interview is moderate, it still provides a benefit to the already high probability of success. Practitioners can rely on the 89.7 percent allowance rate and the 904-day median pendency as stable indicators of the prosecution experience.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

89.7%

Allow Rate

+27.7% vs TC avg

1,050

Total Applications

+7.4%

Interview Lift

904

Avg Prosecution Days

Based on 1041 resolved cases, 2023–2026

Rejection Statute Breakdown

12.5%

§101 Eligibility

26.4%

§102 Novelty

32.0%

§103 Obviousness

9.4%

§112 Clarity

Currently Pending Office Actions

App #	Title	Status	Assignee
19105001	SPEECH RECOGNITION DEVICE AND OPERATING METHOD THEREOF	Non-Final OA	LG ELECTRONICS INC.
18827943	ELECTRONIC DEVICE AND METHOD OF CONTROLLING THEREOF	Final Rejection	SAMSUNG ELECTRONICS CO., LTD.
18910599	USING FACIAL SKIN MOVEMENTS TO DETECT SUBVOCALIZED PHONEMES	Non-Final OA	Apple Inc.
18905404	SILENT VOICE CONTROL BASED ON FACIAL SKIN MICROMOVEMENTS	Final Rejection	Apple Inc.
18965193	Language Agnostic Multilingual End-To-End Streaming On-Device ASR System	Non-Final OA	Google LLC
18602961	INTELLIGENT ANNOTATION ASSISTANT SYSTEMS AND METHODS USING PROMPT-FREE FEW-SHOT LEARNER FOR ANNOTATION AND CONFIDENT LEARNING BASED LABEL NOISE DETECTOR FOR POST-ANNOTATION	Non-Final OA	JPMorgan Chase Bank, N.A.
18973882	Bootstrapping Topic Detection in Conversations	Non-Final OA	Solventum Intellectual Properties Company
18955419	Home Graph	Non-Final OA	Sonos, Inc.
18990977	MEDICAL VOICE COMMAND INTEGRATION	Non-Final OA	CERNER INNOVATION, INC.

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