Annotiq helps AI teams and document-heavy businesses turn raw data, inconsistent labels, and model outputs into structured, reviewed, production-ready datasets. We support teams that need reliable human review across computer vision, document AI, and human-in-the-loop AI workflows. Our core services include: ● Computer Vision Data Ops Image and video annotation, object detection, segmentation, classification, keypoint labeling, quality review, and dataset preparation. ● Document AI Data Ops OCR review, document classification, key-value extraction support, entity labeling, document cleanup, and human verification for structured data extraction. ● Human-in-the-Loop AI Support Model output review, evaluation workflows, content review, data validation, feedback loops, and QA support for AI products. We work with startups, AI teams, healthcare companies, e-commerce businesses, mobility companies, legal technology firms, and other teams that depend on high-quality training and evaluation data. Annotiq’s approach is practical: ● Clear project scoping before work starts ● Human-powered annotation and review ● Internal QA before delivery ● Flexible teams for pilot projects and ongoing data operations ● Support for custom annotation workflows and tools If your team is preparing a dataset, cleaning model outputs, reviewing document AI results, or setting up human-in-the-loop QA, Annotiq can help you assess the workflow and define the right data operations process.
