Frequently Asked Questions

Data annotation is the process of labeling raw data, such as images, video, text or audio, so that AI and machine learning models can understand and learn from it. Think of it as teaching a child to recognise objects: you point to a car and say "car". Without labeled data, even the most advanced AI algorithms cannot function effectively. High-quality annotation is the foundation of any successful AI project.

We offer image annotation (bounding boxes, polygons, semantic segmentation, 3D cuboids and keypoints), video annotation (object tracking, action recognition and event tagging), LiDAR and geospatial annotation (3D point cloud segmentation, land use classification and lane marking), and audio and NLP annotation (speech-to-text transcription, speaker diarization and intent labeling).

We support AI initiatives across many sectors, including autonomous vehicles, healthcare (medical imaging), agriculture (precision farming), smart cities (geospatial intelligence) and e-commerce.

Our quality is safeguarded by a 3-layer quality shield. Expert annotation: domain-trained annotators who understand your project's requirements. AI-assisted pre-labeling: speed and consistency for large datasets. Blind cross-verification: every sample is independently reviewed by a second team of QA specialists to catch and correct errors. We strive for 99%+ accuracy on every project.

We take data security very seriously. We operate with strict non-disclosure agreements (NDAs) with all team members, use secure data transfer protocols and maintain strict access controls. We are committed to the highest standards of data privacy and ethical AI practice.

Our process is simple and transparent. 1) Consultation and guidelines: we learn your project scope and annotation guidelines. 2) Free pilot: a free, no-obligation pilot of up to 500 images to demonstrate our quality. 3) Annotation and QA: our team labels your data with our quality assurance process. 4) Delivery: we deliver the final dataset in your preferred format (for example COCO, YOLO or GeoJSON) within the agreed timeline.

A free pilot lets you test our quality with zero risk. We annotate a small sample of your data (up to 500 images, 10 minutes of video or 1 hour of audio) according to your guidelines. Claim your pilot by contacting us and mentioning the code "PILOT".

Yes. We have a scalable workforce and efficient project management workflows to handle projects of any size, from small batches to datasets of over one million items, without compromising on quality or delivery timelines.

We support all major annotation formats, including COCO, YOLO, KITTI, GeoJSON, Pascal VOC and custom formats. We deliver your data in the exact format your AI team needs, ready to use.