Custom data collection, then high-accuracy annotation, including consented first-person (POV) video, across LATAM and India.
Consented, real-world data gathered to your project's specifications, the foundation every reliable model starts from.
Custom image, video, egocentric (POV), audio, speech, and sensor collection tailored to your project.
Consented egocentric video datasets from a LATAM contributor network, real-world tasks from a person's own point of view.
Independent validation, auditing, and quality assurance for consistent, reliable training data.
Cleaning, balancing, deduplication, and metadata enrichment of model-ready datasets.
Precision labeling across image, video, text, audio, and 3D, auditable and enterprise-ready.
Bounding boxes, polygon annotation, semantic segmentation, keypoint annotation, and image labeling for computer vision.
Frame-by-frame tracking, object detection, action recognition, and temporal labeling for video analytics and autonomous systems.
Sentiment analysis labeling, named entity recognition, text classification, and intent detection for NLP models.
Structured labeling: classification, tagging, attributes, and metadata enrichment across text, image, audio, and video.
Speech recognition labeling, audio classification, speaker identification, and sound event detection.
Medical image annotation, OCR for healthcare documents, DICOM labeling, and clinical data preparation.
3D point cloud labeling for autonomous vehicles, robotics, and geospatial applications.
Training data preparation with specialist human review and QA for AI systems.
Send us a sample of your data and we'll label a test batch, then map your full dataset to the right solution within 48 hours.
Request a PilotPick the shape that fits your pipeline, every engagement starts with a pilot, and there's no long-term lock-in.
A small representative batch labeled against your guidelines, measured against your acceptance criteria, with a full quality report, before any commitment.
Fixed scope, timeline, and price for a defined dataset. One dedicated project owner from kickoff to delivery, with milestone reviews built in.
A dedicated, domain-matched annotation team with multi-tier QA and batch-level reporting, scale up or down as your pipeline grows.
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