Entity Extraction
Identify names, organizations, locations, dates, product terms, and other project-specific entities.
NER Document Review
Services
Reliable Data Annotation Services for AI Teams
Drofman Consulting provides trained human annotators and structured quality review workflows for AI startups, technology companies, and research teams that need clean, consistent, and model-ready datasets.
Computer VisionText & NLPAudio
Computer Vision Annotation
We label image and video datasets for AI systems that need to detect, classify, or understand visual objects.
BenefitsSupport for bounding boxes, polygons, image classification, segmentation, keypoints, and video frame review.
Use CasesMobility datasets, safety and PPE detection, agriculture AI, retail recognition, and industrial inspection.
Process: Review -> Annotate -> QA -> Export
Text and NLP Annotation
We help teams label, organize, and validate text datasets for classification, extraction, categorization, and review workflows.
Text Classification
Organize text records into agreed categories for search, support automation, and content workflows.
Topics Intent Sentiment
Dataset Cleaning
Review text datasets for duplicates, inconsistent labels, missing fields, and unclear records.
QA Review
Audio Annotation
Audio transcription support, speaker labeling, audio segmentation, intent tagging, and quality review for speech and sound-based datasets.
Managed Annotation Teams
Flexible annotation support for recurring labeling projects, including task setup, team coordination, review cycles, and export preparation.
Project-specific training
Supervisor review
Client-ready exports
Dataset QA
Dataset Cleaning and Validation
Raw datasets often contain duplicates, missing labels, wrong formats, inconsistent categories, and unclear records. We help teams clean and validate datasets before or after annotation.
QA
Review
Export
Preparation
Validation Pipeline
Review flow85%
92%
Start With a Pilot Before Scaling
Start with a small dataset, review output quality, refine the annotation guidelines, and scale when the workflow is clear.