STATIK Annotate provides enterprise-grade data annotation — text, image, video, audio, document, 3D, and robot-training data. Trained African annotators. Live client portal. 99% accuracy SLA. Delivered in days, not weeks.
From text classification to 3D point cloud labeling. From RLHF preference ranking to egocentric manipulation for robot training. All in one platform.
Single label per text item — for sentiment, topic tagging, or moderation.
Multiple labels per item — for content tagging, medical coding, or topic detection.
Compare two AI responses, pick the better one. The training data behind ChatGPT, Claude, and Gemini.
Highlight and tag names, places, drugs, diseases, and organizations in documents.
Score text on a numeric scale — for quality scoring, toxicity severity, or relevance.
Assign one label per image — for medical imaging, product photos, or content moderation.
Compare two images, pick the better one — for generative model training or ad creative.
Draw rectangles around objects. The core of computer vision training.
Draw free-form outlines around irregular shapes — for medical imaging, satellite, and AV data.
Place dots at anatomical or object landmarks — for pose estimation and biomechanics.
Tag regions in documents — headers, tables, form fields, signatures. For extraction and KYC.
Image + text + audio in one item — for VQA, captioning, and medical image + note validation.
Type what you hear. Native speakers for African languages and specialist domains.
Tag actions within video segments — for sports, surgery, or manufacturing.
Track objects across frames with interpolation. For AV, surveillance, and sports.
Hand-object interaction labeling for robot training. The core of imitation learning.
3D bounding boxes in LiDAR and depth-camera data. For AV, mining, and robotics.
Every feature exists because a client needed it in production.
Contractually guaranteed. Any batch that falls below 99% after review is redone at our cost. Full audit trail behind every label.
Watch progress in real time. See quality scores, inter-annotator agreement, download history — before delivery.
Every annotator completes a training program, assessment, video interview, and signs an NDA before touching your data.
Bemba, Nyanja, Tonga, Lozi, Swahili, and more. Native speakers for projects Silicon Valley cannot staff.
JSONL, CSV, TSV, COCO, and HuggingFace Dataset. Ready for any ML training pipeline. Custom formats on request.
TLS 1.3 in transit, AES-256 at rest. Role-based access. 30-day deletion on project close. Signed DPA available.
Wherever AI needs human judgment, STATIK delivers the labeled data.
Bounding boxes, tracking, and 3D point cloud annotation for perception systems.
Radiology, pathology, and clinical NER datasets with medically-trained reviewers.
Egocentric manipulation, hand keypoints, and 3D spatial reasoning for robot training.
Document layout, KYC verification, and structured data extraction from financial records.
Crop disease detection, satellite imagery, and wildlife monitoring datasets.
RLHF data, moderation, transcription, and content tagging at scale.
A predictable process that has shipped hundreds of thousands of labels.
Send us 1,000 items and your requirements. We deliver a paid pilot in 3–5 days so you can measure quality firsthand.
We train a dedicated team on your guidelines. Every annotator must pass a certification batch before production.
Annotators work in the studio. Reviewers verify every batch. You watch progress live in your client portal.
Download labels in JSONL, CSV, COCO, or HuggingFace format. Data deleted within 30 days of project close.
Start with a paid pilot of 1,000 items. Measure our quality against your own benchmarks. Scale up only if we prove it.